Senior Software Engineer, Test About Tin Can Tin Can is building a safer, simpler way for kids to connect - without smartphones. We're creating screen-free, delightful devices and services that let families call the people who matter most, free from the noise of today's digital world. We're building a bold, authentic, nostalgic, and kinda quirky brand that resonates with folks who want something simpler & better for their kids than the tech-infused lives we're currently living (and who have a sense of humor about it). As we gear up to scale to thousands of families, we're ready to bring on an engineer to help make it happen. The Role When a kid picks up a Tin Can, the call has to work the first time, every time - whether that's a call to Grandma or a call to 911. That promise is only as good as our ability to prove it holds before a release goes out. We're looking for a Senior Software Engineer, Test to own that proof: the automated testing that verifies every call path works, on every change, before it reaches a kid's phone. You'll own our end-to-end and call-path test suites and the checks that gate a release. The surfaces are real: a staging environment where a change can place an actual SIP call before it merges; a Flutter app on iOS and Android; firmware on ESP32 devices; and a call-decision engine whose scenario suite you'll grow into our strongest safety net. You'll work alongside our voice, app, infrastructure and firmware engineers, and you'll be the person who defines what "tested" means here. What You'll Do Own our end-to-end and call-path test suites - the automated checks that tell engineers a change is safe to ship Build automated SIP test calls that run in staging before every merge - real calls verified for connection, audio, voicemail, and the call record afterward Guarantee emergency calling with continuous, safe verification, so we can show that every Tin Can reaches 911 Grow regression coverage across the paths families depend on most - voicemail, contact approval, missed calls - so every release protects them Automate the manual parts of our release process across mobile, backend, and firmware, so releases get faster and safer as the fleet grows Shape our CI/CD: what runs on every pull request, what gates a deploy, and what a failing check blocks Partner with firmware on repeatable release testing, and push on testability - device emulation, test hooks - so device behavior is verified automatically on every build Measure the suites themselves - coverage of the paths families use, signal engineers can trust, and defects caught before they ship What We're Looking For 5+ years in software engineering, with deep experience in test automation for production systems where a failure is something a customer feels immediately You've built end-to-end suites engineers actually trust - fast, deterministic, wired into CI, and rare enough to be believed when they go red Comfortable in the guts of a distributed system; you can follow a request across services, read the telemetry, and write a test that proves behavior rather than restating the code Fluency using AI as a multiplier across diagnosis, analysis, and testing; this is how we work, not a nice-to-have A clear communicator who writes things down, because a test suite nobody understands is a test suite nobody maintains Hands-on and scrappy; you'll build the harness, the fixtures, and the CI plumbing yourself, and you'd rather automate a test than run it twice A collaborative, low-ego approach - everyone here sweeps the floor Bonus: VoIP or telephony testing (SIP/RTP, sipp, synthetic call monitoring); mobile release testing across iOS and Android; or hardware-in-the-loop testing for embedded devices Why Join Tin Can We're building tech that protects childhood: We're on a quest to give kids a more analog childhood - one with real conversations, real connection, and way less screen time. No doomscrolling, data mining, or dopamine traps - just a simpler, better way for kids to stay in touch. This is a rare opportunity to build something that truly matters. You'll guarantee the call that matters most: Every Tin Can can dial 911, and you'll build the verification that proves it - then hold the same bar for every other call a family counts on, across the device, the app, and the call path. Small, high-trust team: Every company says "team," but at Tin Can it means something different. We're a small, mission-driven group that genuinely has each other's backs - professionally and personally. You'll be joining a tight-knit crew where your ideas and instincts matter from day one. Room to explore, not just execute: You'll have the space to explore new ideas, challenge assumptions, and build systems that reflect our values of trust, simplicity, and care. If you're excited by the idea of making every Tin Can release something families never have to think about - and building the tests and tooling that get us there - we'd love to meet you.
09/24/2026
Full time
Senior Software Engineer, Test About Tin Can Tin Can is building a safer, simpler way for kids to connect - without smartphones. We're creating screen-free, delightful devices and services that let families call the people who matter most, free from the noise of today's digital world. We're building a bold, authentic, nostalgic, and kinda quirky brand that resonates with folks who want something simpler & better for their kids than the tech-infused lives we're currently living (and who have a sense of humor about it). As we gear up to scale to thousands of families, we're ready to bring on an engineer to help make it happen. The Role When a kid picks up a Tin Can, the call has to work the first time, every time - whether that's a call to Grandma or a call to 911. That promise is only as good as our ability to prove it holds before a release goes out. We're looking for a Senior Software Engineer, Test to own that proof: the automated testing that verifies every call path works, on every change, before it reaches a kid's phone. You'll own our end-to-end and call-path test suites and the checks that gate a release. The surfaces are real: a staging environment where a change can place an actual SIP call before it merges; a Flutter app on iOS and Android; firmware on ESP32 devices; and a call-decision engine whose scenario suite you'll grow into our strongest safety net. You'll work alongside our voice, app, infrastructure and firmware engineers, and you'll be the person who defines what "tested" means here. What You'll Do Own our end-to-end and call-path test suites - the automated checks that tell engineers a change is safe to ship Build automated SIP test calls that run in staging before every merge - real calls verified for connection, audio, voicemail, and the call record afterward Guarantee emergency calling with continuous, safe verification, so we can show that every Tin Can reaches 911 Grow regression coverage across the paths families depend on most - voicemail, contact approval, missed calls - so every release protects them Automate the manual parts of our release process across mobile, backend, and firmware, so releases get faster and safer as the fleet grows Shape our CI/CD: what runs on every pull request, what gates a deploy, and what a failing check blocks Partner with firmware on repeatable release testing, and push on testability - device emulation, test hooks - so device behavior is verified automatically on every build Measure the suites themselves - coverage of the paths families use, signal engineers can trust, and defects caught before they ship What We're Looking For 5+ years in software engineering, with deep experience in test automation for production systems where a failure is something a customer feels immediately You've built end-to-end suites engineers actually trust - fast, deterministic, wired into CI, and rare enough to be believed when they go red Comfortable in the guts of a distributed system; you can follow a request across services, read the telemetry, and write a test that proves behavior rather than restating the code Fluency using AI as a multiplier across diagnosis, analysis, and testing; this is how we work, not a nice-to-have A clear communicator who writes things down, because a test suite nobody understands is a test suite nobody maintains Hands-on and scrappy; you'll build the harness, the fixtures, and the CI plumbing yourself, and you'd rather automate a test than run it twice A collaborative, low-ego approach - everyone here sweeps the floor Bonus: VoIP or telephony testing (SIP/RTP, sipp, synthetic call monitoring); mobile release testing across iOS and Android; or hardware-in-the-loop testing for embedded devices Why Join Tin Can We're building tech that protects childhood: We're on a quest to give kids a more analog childhood - one with real conversations, real connection, and way less screen time. No doomscrolling, data mining, or dopamine traps - just a simpler, better way for kids to stay in touch. This is a rare opportunity to build something that truly matters. You'll guarantee the call that matters most: Every Tin Can can dial 911, and you'll build the verification that proves it - then hold the same bar for every other call a family counts on, across the device, the app, and the call path. Small, high-trust team: Every company says "team," but at Tin Can it means something different. We're a small, mission-driven group that genuinely has each other's backs - professionally and personally. You'll be joining a tight-knit crew where your ideas and instincts matter from day one. Room to explore, not just execute: You'll have the space to explore new ideas, challenge assumptions, and build systems that reflect our values of trust, simplicity, and care. If you're excited by the idea of making every Tin Can release something families never have to think about - and building the tests and tooling that get us there - we'd love to meet you.
The Opportunity insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human platform identifies novel, high-impact genetic intervention points, which our TherML platform translates into therapeutics-whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point. To enable that mission, we need a software layer that ties together the scientific, automation, and machine learning platforms - that's our Lab Platform: a harness for science, built as an agentic workflow system that lets scientists drive the lab through an agent. Our bar is that everything in the lab should be agentically accessible (any action a scientist can take, an agent can take), agentically legible (agents understand what the data means in insitro's context, not just how to fetch it), and humanly verifiable (a scientist can always check what an agent did and why). This is real robotics, workflow automation, and applied agent tooling - and your users are in the building with you. You'll work across the stack - front end, backend, and the integrations that reach into instruments, Benchling, and agent runtimes - partnering closely with our machine learning, automation, and biology teams. Based in South San Francisco, this role reports directly to Senior Manager, Software Engineering and offers an in-person hybrid schedule of three days per week. We'll bring you up to speed in the domain of drug development and back your ideas with real trust and mentorship along the way. Responsibilities Full-Stack Ownership Ship Across the Stack: Build the React and TypeScript frontends scientists use every day, the Python services behind them, and integrations that reach instruments, Benchling, and agent runtimes Own It End to End: Take a feature from the first conversation with a scientist through the data model and UI to the alert that fires when it breaks Do the Normal SWE Things: Write code, review design docs, talk to users, and do code reviews that actually make the codebase better Agentic Tooling & Experimentation Chase User Appreciation: Ship things that make scientists say "OMG, this is amazing, thank you so much." Figure Out What's Actually Useful: Test agentic tooling ideas through prototypes, real users, and short iterative loops rather than betting on theory Move the Needle: Contribute work that meaningfully advances insitro's mission and the pace of drug development Cross-Functional Partnership Go Watch the Work: Spend time in the lab observing the workflow before you change it Partner Broadly: Collaborate closely with machine learning, automation, and biology teams to build tools people actually use Keep Humans in the Loop: Design for provenance and verifiability, so a scientist can always check what an agent did and why About You Experience & Qualifications Tenure: 2-4+ years of experience as a professional software engineer Engineering Fundamentals: Working knowledge of AWS or GCP, relational databases, and standard practices like version control and code review Core Competencies Product Instinct: You think like a product person - you want to know who the user is, what they're actually trying to do, and you have opinions about what to build Curious About the Science: You don't need a biology background, but you want to learn the domain rather than treat it as someone else's problem Comfortable in the Gray Area: You can reason clearly about the tradeoffs between quality and speed Fits the Team: You're up for writing design docs, having opinions in code review, and yes, goofing around on Slack. Preferred Qualifications Domain Experience: Experience with LIMS, lab automation, or another life sciences domain Agent/LLM Experience: Experience building with LLMs or agent frameworks - tool and skill design, evaluation, or getting a model to behave reliably against real systems Stack Familiarity: Experience with Django, FastAPI, SQLAlchemy, React, TypeScript, PostgreSQL, Docker, or AWS Compensation & Benefits at insitro Our target starting salary for successful US-based applicants for this role is $111,000 - $140,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: 401(k) plan with employer matching for contributions Excellent medical, dental, and vision coverage as well as mental health and well-being support Open, flexible vacation policy Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) Quarterly budget for books and online courses for self-development New hire stipend for home office setup Monthly cell phone & internet stipend Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are , and if in doubt, contact us at . About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro's approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit .
09/24/2026
Full time
The Opportunity insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human platform identifies novel, high-impact genetic intervention points, which our TherML platform translates into therapeutics-whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point. To enable that mission, we need a software layer that ties together the scientific, automation, and machine learning platforms - that's our Lab Platform: a harness for science, built as an agentic workflow system that lets scientists drive the lab through an agent. Our bar is that everything in the lab should be agentically accessible (any action a scientist can take, an agent can take), agentically legible (agents understand what the data means in insitro's context, not just how to fetch it), and humanly verifiable (a scientist can always check what an agent did and why). This is real robotics, workflow automation, and applied agent tooling - and your users are in the building with you. You'll work across the stack - front end, backend, and the integrations that reach into instruments, Benchling, and agent runtimes - partnering closely with our machine learning, automation, and biology teams. Based in South San Francisco, this role reports directly to Senior Manager, Software Engineering and offers an in-person hybrid schedule of three days per week. We'll bring you up to speed in the domain of drug development and back your ideas with real trust and mentorship along the way. Responsibilities Full-Stack Ownership Ship Across the Stack: Build the React and TypeScript frontends scientists use every day, the Python services behind them, and integrations that reach instruments, Benchling, and agent runtimes Own It End to End: Take a feature from the first conversation with a scientist through the data model and UI to the alert that fires when it breaks Do the Normal SWE Things: Write code, review design docs, talk to users, and do code reviews that actually make the codebase better Agentic Tooling & Experimentation Chase User Appreciation: Ship things that make scientists say "OMG, this is amazing, thank you so much." Figure Out What's Actually Useful: Test agentic tooling ideas through prototypes, real users, and short iterative loops rather than betting on theory Move the Needle: Contribute work that meaningfully advances insitro's mission and the pace of drug development Cross-Functional Partnership Go Watch the Work: Spend time in the lab observing the workflow before you change it Partner Broadly: Collaborate closely with machine learning, automation, and biology teams to build tools people actually use Keep Humans in the Loop: Design for provenance and verifiability, so a scientist can always check what an agent did and why About You Experience & Qualifications Tenure: 2-4+ years of experience as a professional software engineer Engineering Fundamentals: Working knowledge of AWS or GCP, relational databases, and standard practices like version control and code review Core Competencies Product Instinct: You think like a product person - you want to know who the user is, what they're actually trying to do, and you have opinions about what to build Curious About the Science: You don't need a biology background, but you want to learn the domain rather than treat it as someone else's problem Comfortable in the Gray Area: You can reason clearly about the tradeoffs between quality and speed Fits the Team: You're up for writing design docs, having opinions in code review, and yes, goofing around on Slack. Preferred Qualifications Domain Experience: Experience with LIMS, lab automation, or another life sciences domain Agent/LLM Experience: Experience building with LLMs or agent frameworks - tool and skill design, evaluation, or getting a model to behave reliably against real systems Stack Familiarity: Experience with Django, FastAPI, SQLAlchemy, React, TypeScript, PostgreSQL, Docker, or AWS Compensation & Benefits at insitro Our target starting salary for successful US-based applicants for this role is $111,000 - $140,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: 401(k) plan with employer matching for contributions Excellent medical, dental, and vision coverage as well as mental health and well-being support Open, flexible vacation policy Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) Quarterly budget for books and online courses for self-development New hire stipend for home office setup Monthly cell phone & internet stipend Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are , and if in doubt, contact us at . About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro's approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit .
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $198,000.00 - $272,500.00 Location: Santa Clara,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. The Principal Data Architect serves as the senior technical authority for Applied's enterprise data architecture, accountable for the coherence of the data landscape across large-scale transformation programs. Owns the architecture of certified data products and the enterprise semantic layer, provides data architecture leadership to the S/4 transformation, and sets the standards, patterns, and decision gates that delivery teams and partners build against. Operates through technical credibility and influence across business units rather than through direct reporting authority. Key Responsibilities: Enterprise data architecture and standards. Define and own the target-state architecture for Applied's data platform and BI landscape. Establish reference architectures, design patterns, and BKMs for integrated solution design. Serve as architecture approver for platform and solution designs, with authority to require rework where designs diverge from enterprise standards. Large-scale data transformation leadership. Provide end-to-end technical leadership for complex, multi-year, multi-BU data transformation programs - current-state assessment, target architecture, migration strategy, sequencing, cutover design, and decommissioning. Own the architecture-level risks and dependencies that cross program boundaries and would otherwise fall between program owners. S/4 data transformation. Act as the data architecture authority to the S/4 program. Own the data model and master data implications of ERP design decisions, the conversion and harmonization strategy for legacy and historical data, and the downstream architecture that makes S/4 data consumable for analytics and AI. Ensure ERP-side decisions are made with full visibility into their downstream cost. Data products development. Define and own the data product operating model - product definition, data contracts, ownership, certification criteria, quality and freshness SLAs, versioning, and deprecation. Architect the highest-impact enterprise data products directly and certify the rest. Drive reuse so that data products reduce the overall asset footprint rather than adding to it. Enterprise semantic layer. Own the design and governance of the enterprise semantic layer - the common business vocabulary, conformed dimensions, and certified metric definitions that guarantee a measure means the same thing in every consuming tool. Architect the layer to serve BI, self-service, embedded analytics, and agentic AI consumption from a single governed definition set. Establish the change-control process for semantic definitions. Governance, security, and quality by design. Embed governance into the architecture rather than retrofitting it: catalog and lineage coverage, classification, attribute- and role-based access control, and data quality instrumentation as architectural requirements at design time. Partner with Information Security and Compliance on data protection posture, encryption and key management design, and SOX-relevant controls within the data estate. Technology strategy and vendor assessment. Own multi-year platform and capability roadmaps for the data and BI estate. Lead technical evaluation of vendor products and next-generation technologies, including proof-of-concept design and objective scoring. Assess architectural lock-in and exit cost as a first-class criterion. Recommend additions and changes to Applied's enterprise architectural strategy. Serve as senior technical counterpart to strategic vendor and partner relationships. Technical direction of delivery and partner teams. Set and enforce technical direction for internal delivery teams, systems integrators, and contingent technical staff through design reviews, architecture gates, and code and model review. Define technical acceptance criteria for partner statements of work and assess delivered work product against them. Escalate quality and capability concerns to the accountable delivery managers. Technical community leadership. Raise the architectural and data modeling capability of the broader data organization through mentoring, design review, internal standards documentation, and targeted enablement. Build the bench of engineers and architects capable of extending the patterns this role establishes. Executive influence and decision support. Translate architectural tradeoffs into business terms for senior stakeholders - cost, risk, time-to-value, optionality. Build the case for architecture investment and drive alignment across BU leaders whose local optima conflict with the enterprise target state. Competency Framework: Functional Knowledge Recognized as the enterprise technical authority in data architecture and an advanced expert within the data and analytics discipline. Maintains deep, current knowledge of adjacent disciplines including ERP data, information security, and AI/ML platform engineering. Business Expertise Applies in-depth understanding of how data architecture integrates across the segment and function, and of the commercial and operational drivers of the business units the data estate serves. Anticipates the business consequences of architectural decisions. Leadership Leads programs of substantial complexity, risk, and organizational breadth without formal reporting authority. Sets technical direction for multiple delivery teams and partner organizations, establishes the standards others execute against, and mentors senior technical staff. Problem Solving Solves unique and ambiguous problems with broad enterprise impact where no established precedent exists. Requires conceptual and innovative thinking, and the judgment to distinguish problems that need a novel solution from those that need an existing standard applied consistently. Impact Impacts the direction, sequencing, and resource allocation of enterprise programs, platforms, and technology investments. Architectural decisions made in this role determine multi-year cost and capability across the data estate. Interpersonal Skills Communicates complex technical concepts to executive audiences with clarity and precision. Anticipates objections, negotiates competing priorities across business units, and persuades senior internal and external stakeholders toward enterprise outcomes over local ones. Qualifications Required Hands-on architecture experience with SAP Business Data Cloud (BDC), including Datasphere data modeling, replication/transformation flows, and BDC-to-lakehouse integration with platforms like Databricks Proficiency in SAP ABAP (OO-ABAP, CDS Views, AMDP) and SQLScript/HANA-native procedures for custom extraction, transformation, and performance-tuned data logic Working knowledge of SQL and Python for pipeline development, validation scripting, and Datasphere/Databricks transformation logic Experience with SAP BTP extensibility (RAP, CAP) and BDC data products / Delta Sharing for building governed, reusable data services and APIs Familiarity with SAP Analytics Cloud (SAC) or BW/BW4HANA integration, and CI/CD or transport-based version control for code-driven data models Hands-on experience building governed Databricks data products using Unity Catalog for access control, lineage, and cross-domain data sharing Experience designing and operating a semantic layer within Databricks (e.g., metric views, SQL warehouses, or equivalent) to serve consistent, governed metrics across BI and AI consumption tools Technical proficiency in Databricks - Delta Lake . click apply for full job details
09/24/2026
Full time
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $198,000.00 - $272,500.00 Location: Santa Clara,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. The Principal Data Architect serves as the senior technical authority for Applied's enterprise data architecture, accountable for the coherence of the data landscape across large-scale transformation programs. Owns the architecture of certified data products and the enterprise semantic layer, provides data architecture leadership to the S/4 transformation, and sets the standards, patterns, and decision gates that delivery teams and partners build against. Operates through technical credibility and influence across business units rather than through direct reporting authority. Key Responsibilities: Enterprise data architecture and standards. Define and own the target-state architecture for Applied's data platform and BI landscape. Establish reference architectures, design patterns, and BKMs for integrated solution design. Serve as architecture approver for platform and solution designs, with authority to require rework where designs diverge from enterprise standards. Large-scale data transformation leadership. Provide end-to-end technical leadership for complex, multi-year, multi-BU data transformation programs - current-state assessment, target architecture, migration strategy, sequencing, cutover design, and decommissioning. Own the architecture-level risks and dependencies that cross program boundaries and would otherwise fall between program owners. S/4 data transformation. Act as the data architecture authority to the S/4 program. Own the data model and master data implications of ERP design decisions, the conversion and harmonization strategy for legacy and historical data, and the downstream architecture that makes S/4 data consumable for analytics and AI. Ensure ERP-side decisions are made with full visibility into their downstream cost. Data products development. Define and own the data product operating model - product definition, data contracts, ownership, certification criteria, quality and freshness SLAs, versioning, and deprecation. Architect the highest-impact enterprise data products directly and certify the rest. Drive reuse so that data products reduce the overall asset footprint rather than adding to it. Enterprise semantic layer. Own the design and governance of the enterprise semantic layer - the common business vocabulary, conformed dimensions, and certified metric definitions that guarantee a measure means the same thing in every consuming tool. Architect the layer to serve BI, self-service, embedded analytics, and agentic AI consumption from a single governed definition set. Establish the change-control process for semantic definitions. Governance, security, and quality by design. Embed governance into the architecture rather than retrofitting it: catalog and lineage coverage, classification, attribute- and role-based access control, and data quality instrumentation as architectural requirements at design time. Partner with Information Security and Compliance on data protection posture, encryption and key management design, and SOX-relevant controls within the data estate. Technology strategy and vendor assessment. Own multi-year platform and capability roadmaps for the data and BI estate. Lead technical evaluation of vendor products and next-generation technologies, including proof-of-concept design and objective scoring. Assess architectural lock-in and exit cost as a first-class criterion. Recommend additions and changes to Applied's enterprise architectural strategy. Serve as senior technical counterpart to strategic vendor and partner relationships. Technical direction of delivery and partner teams. Set and enforce technical direction for internal delivery teams, systems integrators, and contingent technical staff through design reviews, architecture gates, and code and model review. Define technical acceptance criteria for partner statements of work and assess delivered work product against them. Escalate quality and capability concerns to the accountable delivery managers. Technical community leadership. Raise the architectural and data modeling capability of the broader data organization through mentoring, design review, internal standards documentation, and targeted enablement. Build the bench of engineers and architects capable of extending the patterns this role establishes. Executive influence and decision support. Translate architectural tradeoffs into business terms for senior stakeholders - cost, risk, time-to-value, optionality. Build the case for architecture investment and drive alignment across BU leaders whose local optima conflict with the enterprise target state. Competency Framework: Functional Knowledge Recognized as the enterprise technical authority in data architecture and an advanced expert within the data and analytics discipline. Maintains deep, current knowledge of adjacent disciplines including ERP data, information security, and AI/ML platform engineering. Business Expertise Applies in-depth understanding of how data architecture integrates across the segment and function, and of the commercial and operational drivers of the business units the data estate serves. Anticipates the business consequences of architectural decisions. Leadership Leads programs of substantial complexity, risk, and organizational breadth without formal reporting authority. Sets technical direction for multiple delivery teams and partner organizations, establishes the standards others execute against, and mentors senior technical staff. Problem Solving Solves unique and ambiguous problems with broad enterprise impact where no established precedent exists. Requires conceptual and innovative thinking, and the judgment to distinguish problems that need a novel solution from those that need an existing standard applied consistently. Impact Impacts the direction, sequencing, and resource allocation of enterprise programs, platforms, and technology investments. Architectural decisions made in this role determine multi-year cost and capability across the data estate. Interpersonal Skills Communicates complex technical concepts to executive audiences with clarity and precision. Anticipates objections, negotiates competing priorities across business units, and persuades senior internal and external stakeholders toward enterprise outcomes over local ones. Qualifications Required Hands-on architecture experience with SAP Business Data Cloud (BDC), including Datasphere data modeling, replication/transformation flows, and BDC-to-lakehouse integration with platforms like Databricks Proficiency in SAP ABAP (OO-ABAP, CDS Views, AMDP) and SQLScript/HANA-native procedures for custom extraction, transformation, and performance-tuned data logic Working knowledge of SQL and Python for pipeline development, validation scripting, and Datasphere/Databricks transformation logic Experience with SAP BTP extensibility (RAP, CAP) and BDC data products / Delta Sharing for building governed, reusable data services and APIs Familiarity with SAP Analytics Cloud (SAC) or BW/BW4HANA integration, and CI/CD or transport-based version control for code-driven data models Hands-on experience building governed Databricks data products using Unity Catalog for access control, lineage, and cross-domain data sharing Experience designing and operating a semantic layer within Databricks (e.g., metric views, SQL warehouses, or equivalent) to serve consistent, governed metrics across BI and AI consumption tools Technical proficiency in Databricks - Delta Lake . click apply for full job details
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! Blue Origin is pioneering the future of space-based communications with TeraWave, a revolutionary satellite communications network designed to deliver symmetrical data speeds of up to 6 Tbps anywhere on Earth. This multi-orbit constellation will consist of optically interconnected satellites in low Earth orbit (LEO) and medium Earth orbit (MEO), providing enterprise-grade connectivity for critical operations worldwide. About This Role Blue Origin is seeking a Senior Software Development Engineer to join the Network and Software Engineering team supporting TeraWave in the Greater Seattle Area or the Bay Area. In this role, you build the foundational layer-3 platform infrastructure, the operating nervous system, deployed across TeraWave satellites, user terminals, gateways and the PoP data-plane. Responsibilities include but are not limited to: Build high-performance packet processing applications in C/C++ using DPDK and FD.io VPP. Develop and maintain Linux kernel modules and device drivers to support custom hardware and platform requirements. Develop drivers and software interfaces for hardware accelerators, SmartNICs, and FPGA-offload engines. Debug system-level performance issues, minimize context switching, and tune the networking stack for satellite links. Implement secure boot, runtime security monitoring, and hardware-backed credential management across embedded platforms. Provide technical leadership, conduct deep-dive code reviews, and mentor junior engineers on low-level systems programming. Minimum Qualifications Bachelor's degree in computer science, computer engineering, or related STEM discipline, or 10+ years software development experience. At least 8 years of C or C++ experience in Linux or embedded environments. Deep Linux kernel knowledge, including driver development, memory management, and system-level debugging. Experience with system-level debugging tools such as GDB, perf, and eBPF. Experience with Buildroot, Yocto, Bazel, or comparable build systems. Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Preferred Qualifications Infrastructure experience supporting large distributed systems or device fleets at scale. Proficiency with Rust or Python for systems tooling and automation. Strong knowledge of TCP/IP, UDP, Ethernet, Linux networking, and custom routing protocols. Experience with mission-critical aerospace, automotive, medical, or similarly high-reliability systems. Ability to troubleshoot down to assembly code and hardware-level diagnostics. Base Pay Range for: WA applicants is $248,830.00 - $348,361.65 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Stock Options for all regular employees (working at least 20 hours/week) Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see here. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at . Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.
09/24/2026
Full time
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! Blue Origin is pioneering the future of space-based communications with TeraWave, a revolutionary satellite communications network designed to deliver symmetrical data speeds of up to 6 Tbps anywhere on Earth. This multi-orbit constellation will consist of optically interconnected satellites in low Earth orbit (LEO) and medium Earth orbit (MEO), providing enterprise-grade connectivity for critical operations worldwide. About This Role Blue Origin is seeking a Senior Software Development Engineer to join the Network and Software Engineering team supporting TeraWave in the Greater Seattle Area or the Bay Area. In this role, you build the foundational layer-3 platform infrastructure, the operating nervous system, deployed across TeraWave satellites, user terminals, gateways and the PoP data-plane. Responsibilities include but are not limited to: Build high-performance packet processing applications in C/C++ using DPDK and FD.io VPP. Develop and maintain Linux kernel modules and device drivers to support custom hardware and platform requirements. Develop drivers and software interfaces for hardware accelerators, SmartNICs, and FPGA-offload engines. Debug system-level performance issues, minimize context switching, and tune the networking stack for satellite links. Implement secure boot, runtime security monitoring, and hardware-backed credential management across embedded platforms. Provide technical leadership, conduct deep-dive code reviews, and mentor junior engineers on low-level systems programming. Minimum Qualifications Bachelor's degree in computer science, computer engineering, or related STEM discipline, or 10+ years software development experience. At least 8 years of C or C++ experience in Linux or embedded environments. Deep Linux kernel knowledge, including driver development, memory management, and system-level debugging. Experience with system-level debugging tools such as GDB, perf, and eBPF. Experience with Buildroot, Yocto, Bazel, or comparable build systems. Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Preferred Qualifications Infrastructure experience supporting large distributed systems or device fleets at scale. Proficiency with Rust or Python for systems tooling and automation. Strong knowledge of TCP/IP, UDP, Ethernet, Linux networking, and custom routing protocols. Experience with mission-critical aerospace, automotive, medical, or similarly high-reliability systems. Ability to troubleshoot down to assembly code and hardware-level diagnostics. Base Pay Range for: WA applicants is $248,830.00 - $348,361.65 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Stock Options for all regular employees (working at least 20 hours/week) Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see here. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at . Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.
Job Description The Role As a State Estimation Engineer within the SEAM Embodied AI organization, you will be an individual contributor driving cutting-edge localization and sensor calibration solutions that directly impact autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced systems for purposes including pinpointing the vehicle's location in the world, and calibrating parameters of all sensors to ensure they optimally support many other vehicle subsystems. You'll participate in critical technical initiatives, collaborate closely with cross-functional teams, work with senior engineers across the organization, and significantly shape the future of onboard autonomous driving capabilities. What You'll Do (Responsibilities) Drive the design, development, and deployment of advanced solutions for state estimation, localization, sensor calibration and more. Lead and architect critical infrastructure for validating localization and sensor calibration systems, and for continuously monitoring localization performance on deployed vehicles, Help to ensure high software quality, through build-out of continuous integration components such as regression test suites and simulation scenarios. Ownership of vital tools used by our teams for prototyping new solutions, debugging issues observed on real vehicles, and accelerating development of test infrastructure. Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of localization, sensor alignment, and other capabilities into autonomous vehicle systems. Influence technical roadmaps, shaping strategic priorities aligned with company objectives and product milestones. Minimum Qualifications (Must-Have) Master's or B.S. in Robotics, Computer Science, Electrical Engineering, or a related technical field. 2+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure. For Senior roles: 3+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure. 1+ years of background in state estimation and/or sensor calibration. Strong software engineering proficiency, particularly in C++ and Python, alongside extensive hands-on experience with development, integration, and testing tools. Excellent communication and collaboration abilities, comfortable influencing technical strategy and guiding engineering excellence across the organization. Preferred Qualifications (Nice-to-Have) Master's or B.S. in Robotics, Computer Science, Electrical Engineering, or a related technical field. 3+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure. AV/ADAS experience is a big plus! Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for L6 role is $138,200.00 to $211,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. The salary range for L7 (senior) role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager . Relocation benefits are available for candidates who qualify under company policy. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
09/24/2026
Full time
Job Description The Role As a State Estimation Engineer within the SEAM Embodied AI organization, you will be an individual contributor driving cutting-edge localization and sensor calibration solutions that directly impact autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced systems for purposes including pinpointing the vehicle's location in the world, and calibrating parameters of all sensors to ensure they optimally support many other vehicle subsystems. You'll participate in critical technical initiatives, collaborate closely with cross-functional teams, work with senior engineers across the organization, and significantly shape the future of onboard autonomous driving capabilities. What You'll Do (Responsibilities) Drive the design, development, and deployment of advanced solutions for state estimation, localization, sensor calibration and more. Lead and architect critical infrastructure for validating localization and sensor calibration systems, and for continuously monitoring localization performance on deployed vehicles, Help to ensure high software quality, through build-out of continuous integration components such as regression test suites and simulation scenarios. Ownership of vital tools used by our teams for prototyping new solutions, debugging issues observed on real vehicles, and accelerating development of test infrastructure. Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of localization, sensor alignment, and other capabilities into autonomous vehicle systems. Influence technical roadmaps, shaping strategic priorities aligned with company objectives and product milestones. Minimum Qualifications (Must-Have) Master's or B.S. in Robotics, Computer Science, Electrical Engineering, or a related technical field. 2+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure. For Senior roles: 3+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure. 1+ years of background in state estimation and/or sensor calibration. Strong software engineering proficiency, particularly in C++ and Python, alongside extensive hands-on experience with development, integration, and testing tools. Excellent communication and collaboration abilities, comfortable influencing technical strategy and guiding engineering excellence across the organization. Preferred Qualifications (Nice-to-Have) Master's or B.S. in Robotics, Computer Science, Electrical Engineering, or a related technical field. 3+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure. AV/ADAS experience is a big plus! Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for L6 role is $138,200.00 to $211,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. The salary range for L7 (senior) role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager . Relocation benefits are available for candidates who qualify under company policy. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Job Description Job Description Work Arrangement: Dallas-based / Hybrid Visa Sponsorship: Not available. Candidates must already be authorized to work in the United States without current or future employer sponsorship. Job Summary We are seeking a highly experienced Senior MLOps Engineer with strong hands-on Snowflake experience to support enterprise machine learning platforms and production ML workloads. The ideal candidate has hands-on experience taking machine learning models from experimentation through production and building the deployment pipelines, monitoring, automation, infrastructure, and governance capabilities required to operate ML solutions reliably at enterprise scale. This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers, and enterprise platform teams. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and pipelines. Operationalize machine learning models developed by Data Science teams. Build automated ML workflows covering training, validation, deployment, monitoring, retraining, and retirement. Implement CI/CD pipelines specifically for machine learning workloads. Establish model registry, versioning, lineage, artifact management, and reproducibility. Implement model monitoring, data drift detection, model drift detection, prediction-quality monitoring, and alerting. Integrate ML workloads with Snowflake-based enterprise data environments . Build and optimize Python- and SQL-based data and ML pipelines. Support Snowflake data ingestion, transformation, compute, security, and ML integrations. Containerize ML workloads using Docker and deploy workloads through Kubernetes or comparable orchestration platforms. Implement logging, observability, alerting, and production support processes. Automate deployment and infrastructure provisioning using modern DevOps and Infrastructure-as-Code practices. Support model governance, approval workflows, lineage, auditability, and access controls. Troubleshoot production ML pipelines, model-serving infrastructure, Snowflake integrations, and performance issues. Develop reusable MLOps frameworks, standards, templates, and best practices. Mandatory Qualifications Candidates must have hands-on production experience in both MLOps and Snowflake . MLOps - Required Strong production experience with: ML model deployment and operationalization Model lifecycle management ML CI/CD Experiment tracking Model registry and versioning Automated model validation Model monitoring Data and model drift detection Retraining pipelines Pipeline orchestration Production troubleshooting Experience with one or more of the following: ML flow Kubeflow AWS SageMaker Azure Machine Learning Airflow Argo Workflows Prefect Dagster Equivalent enterprise MLOps platforms Snowflake - Required Strong hands-on Snowflake experience including: Snowflake architecture Databases, schemas, tables, and views Virtual warehouses Compute management Snowflake security and RBAC Data ingestion and transformation Performance optimization Python integration Snowflake integration with ML pipelines Experience with the following is strongly preferred: Snowpark Snowpark Python Snowflake ML Snowflake Model Registry Snowflake Feature Store Snowflake Tasks and Streams Dynamic Tables Snowpipe Cortex / Snowflake AI capabilities Additional Required Technical Skills Strong Python Strong SQL Git REST APIs Linux Shell scripting Docker CI/CD Cloud platforms such as AWS, Azure, or GCP Preferred Skills Experience with: Kubernetes Terraform GitHub Actions Jenkins GitLab CI/CD Azure DevOps dbt Spark Kafka Grafana CloudWatch Evidently Education and Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or related field. 6+ years of software, cloud, data, or ML engineering experience. 3+ years of hands-on production MLOps experience. Strong hands-on Snowflake experience. Experience deploying ML models into production. Experience implementing ML CI/CD pipelines. Strong Python and SQL skills. Experience with Docker and cloud infrastructure. Work Authorization This position does not provide visa sponsorship. Candidates must be currently authorized to work in the United States without employer sponsorship and must not require sponsorship now or in the future. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it.
09/24/2026
Full time
Job Description Job Description Work Arrangement: Dallas-based / Hybrid Visa Sponsorship: Not available. Candidates must already be authorized to work in the United States without current or future employer sponsorship. Job Summary We are seeking a highly experienced Senior MLOps Engineer with strong hands-on Snowflake experience to support enterprise machine learning platforms and production ML workloads. The ideal candidate has hands-on experience taking machine learning models from experimentation through production and building the deployment pipelines, monitoring, automation, infrastructure, and governance capabilities required to operate ML solutions reliably at enterprise scale. This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers, and enterprise platform teams. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and pipelines. Operationalize machine learning models developed by Data Science teams. Build automated ML workflows covering training, validation, deployment, monitoring, retraining, and retirement. Implement CI/CD pipelines specifically for machine learning workloads. Establish model registry, versioning, lineage, artifact management, and reproducibility. Implement model monitoring, data drift detection, model drift detection, prediction-quality monitoring, and alerting. Integrate ML workloads with Snowflake-based enterprise data environments . Build and optimize Python- and SQL-based data and ML pipelines. Support Snowflake data ingestion, transformation, compute, security, and ML integrations. Containerize ML workloads using Docker and deploy workloads through Kubernetes or comparable orchestration platforms. Implement logging, observability, alerting, and production support processes. Automate deployment and infrastructure provisioning using modern DevOps and Infrastructure-as-Code practices. Support model governance, approval workflows, lineage, auditability, and access controls. Troubleshoot production ML pipelines, model-serving infrastructure, Snowflake integrations, and performance issues. Develop reusable MLOps frameworks, standards, templates, and best practices. Mandatory Qualifications Candidates must have hands-on production experience in both MLOps and Snowflake . MLOps - Required Strong production experience with: ML model deployment and operationalization Model lifecycle management ML CI/CD Experiment tracking Model registry and versioning Automated model validation Model monitoring Data and model drift detection Retraining pipelines Pipeline orchestration Production troubleshooting Experience with one or more of the following: ML flow Kubeflow AWS SageMaker Azure Machine Learning Airflow Argo Workflows Prefect Dagster Equivalent enterprise MLOps platforms Snowflake - Required Strong hands-on Snowflake experience including: Snowflake architecture Databases, schemas, tables, and views Virtual warehouses Compute management Snowflake security and RBAC Data ingestion and transformation Performance optimization Python integration Snowflake integration with ML pipelines Experience with the following is strongly preferred: Snowpark Snowpark Python Snowflake ML Snowflake Model Registry Snowflake Feature Store Snowflake Tasks and Streams Dynamic Tables Snowpipe Cortex / Snowflake AI capabilities Additional Required Technical Skills Strong Python Strong SQL Git REST APIs Linux Shell scripting Docker CI/CD Cloud platforms such as AWS, Azure, or GCP Preferred Skills Experience with: Kubernetes Terraform GitHub Actions Jenkins GitLab CI/CD Azure DevOps dbt Spark Kafka Grafana CloudWatch Evidently Education and Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or related field. 6+ years of software, cloud, data, or ML engineering experience. 3+ years of hands-on production MLOps experience. Strong hands-on Snowflake experience. Experience deploying ML models into production. Experience implementing ML CI/CD pipelines. Strong Python and SQL skills. Experience with Docker and cloud infrastructure. Work Authorization This position does not provide visa sponsorship. Candidates must be currently authorized to work in the United States without employer sponsorship and must not require sponsorship now or in the future. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it.
Job Description The Role As a State Estimation Engineer within the SEAM Embodied AI organization, you will be an individual contributor driving cutting-edge localization and sensor calibration solutions that directly impact autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced systems for purposes including pinpointing the vehicle's location in the world, and calibrating parameters of all sensors to ensure they optimally support many other vehicle subsystems. You'll participate in critical technical initiatives, collaborate closely with cross-functional teams, work with senior engineers across the organization, and significantly shape the future of onboard autonomous driving capabilities. What You'll Do (Responsibilities) Drive the design, development, and deployment of advanced solutions for state estimation, localization, sensor calibration and more. Lead and architect critical infrastructure for validating localization and sensor calibration systems, and for continuously monitoring localization performance on deployed vehicles, Help to ensure high software quality, through build-out of continuous integration components such as regression test suites and simulation scenarios. Ownership of vital tools used by our teams for prototyping new solutions, debugging issues observed on real vehicles, and accelerating development of test infrastructure. Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of localization, sensor alignment, and other capabilities into autonomous vehicle systems. Influence technical roadmaps, shaping strategic priorities aligned with company objectives and product milestones. Minimum Qualifications (Must-Have) Master's or B.S. in Robotics, Computer Science, Electrical Engineering, or a related technical field. 2+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure. For Senior roles: 3+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure. 1+ years of background in state estimation and/or sensor calibration. Strong software engineering proficiency, particularly in C++ and Python, alongside extensive hands-on experience with development, integration, and testing tools. Excellent communication and collaboration abilities, comfortable influencing technical strategy and guiding engineering excellence across the organization. Preferred Qualifications (Nice-to-Have) Master's or B.S. in Robotics, Computer Science, Electrical Engineering, or a related technical field. 3+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure. AV/ADAS experience is a big plus! Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for L6 role is $138,200.00 to $211,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. The salary range for L7 (senior) role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager . Relocation benefits are available for candidates who qualify under company policy. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
09/24/2026
Full time
Job Description The Role As a State Estimation Engineer within the SEAM Embodied AI organization, you will be an individual contributor driving cutting-edge localization and sensor calibration solutions that directly impact autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced systems for purposes including pinpointing the vehicle's location in the world, and calibrating parameters of all sensors to ensure they optimally support many other vehicle subsystems. You'll participate in critical technical initiatives, collaborate closely with cross-functional teams, work with senior engineers across the organization, and significantly shape the future of onboard autonomous driving capabilities. What You'll Do (Responsibilities) Drive the design, development, and deployment of advanced solutions for state estimation, localization, sensor calibration and more. Lead and architect critical infrastructure for validating localization and sensor calibration systems, and for continuously monitoring localization performance on deployed vehicles, Help to ensure high software quality, through build-out of continuous integration components such as regression test suites and simulation scenarios. Ownership of vital tools used by our teams for prototyping new solutions, debugging issues observed on real vehicles, and accelerating development of test infrastructure. Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of localization, sensor alignment, and other capabilities into autonomous vehicle systems. Influence technical roadmaps, shaping strategic priorities aligned with company objectives and product milestones. Minimum Qualifications (Must-Have) Master's or B.S. in Robotics, Computer Science, Electrical Engineering, or a related technical field. 2+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure. For Senior roles: 3+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure. 1+ years of background in state estimation and/or sensor calibration. Strong software engineering proficiency, particularly in C++ and Python, alongside extensive hands-on experience with development, integration, and testing tools. Excellent communication and collaboration abilities, comfortable influencing technical strategy and guiding engineering excellence across the organization. Preferred Qualifications (Nice-to-Have) Master's or B.S. in Robotics, Computer Science, Electrical Engineering, or a related technical field. 3+ years of experience developing and deploying software for real-time applications and/or cloud infrastructure. AV/ADAS experience is a big plus! Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for L6 role is $138,200.00 to $211,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. The salary range for L7 (senior) role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager . Relocation benefits are available for candidates who qualify under company policy. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Job Description Job Description This is more than a senior engineering role - it's an opportunity to help enterprise organizations adopt AI to solve meaningful business problems. As a Senior AI Forward Deployed Engineer , you'll join Nukudo as a full-time employee and begin with our AI Accelerator Program , where you'll become familiar with our AI platform, delivery methodology, and customer engagement approach. Following the program, you'll lead customer implementations, architect AI-powered solutions, and work directly with technical and business stakeholders to deliver measurable business value. What You'll Do Participate in our immersive AI Accelerator Program Design and deploy enterprise AI solutions Build production-ready AI applications and workflows Lead technical discussions with enterprise customers Translate business challenges into scalable AI solutions Collaborate with engineering, product, and customer teams Mentor junior engineers Stay current with the latest AI technologies and best practices What We're Looking For 4-6 years of experience in Software Engineering, Solutions Engineering, Data Engineering, DevOps, Cloud Engineering, Cybersecurity, or Technical Consulting Bachelor's degree in Computer Science, Engineering, IT, Data Science, or a related field; Master's degree a plus Strong experience with Python, APIs, cloud platforms, and software architecture Strong SQL / data fundamentals and scripting experience Working knowledge of GenAI tools and concepts, and how they apply to enterprise use cases Experience delivering customer-facing technical solutions Strong communication and presentation skills Authorized to work in the U.S. without sponsorship Willingness to relocate What You'll Get Full-time, paid W-2 employment from day one Immersive AI Accelerator Program Opportunity to lead enterprise AI implementations Direct engagement with enterprise customers Medical, Dental, Vision, and 401(k) Continuous technical and professional development Clear opportunities to grow into technical and consulting leadership roles Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow. Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow.
09/24/2026
Full time
Job Description Job Description This is more than a senior engineering role - it's an opportunity to help enterprise organizations adopt AI to solve meaningful business problems. As a Senior AI Forward Deployed Engineer , you'll join Nukudo as a full-time employee and begin with our AI Accelerator Program , where you'll become familiar with our AI platform, delivery methodology, and customer engagement approach. Following the program, you'll lead customer implementations, architect AI-powered solutions, and work directly with technical and business stakeholders to deliver measurable business value. What You'll Do Participate in our immersive AI Accelerator Program Design and deploy enterprise AI solutions Build production-ready AI applications and workflows Lead technical discussions with enterprise customers Translate business challenges into scalable AI solutions Collaborate with engineering, product, and customer teams Mentor junior engineers Stay current with the latest AI technologies and best practices What We're Looking For 4-6 years of experience in Software Engineering, Solutions Engineering, Data Engineering, DevOps, Cloud Engineering, Cybersecurity, or Technical Consulting Bachelor's degree in Computer Science, Engineering, IT, Data Science, or a related field; Master's degree a plus Strong experience with Python, APIs, cloud platforms, and software architecture Strong SQL / data fundamentals and scripting experience Working knowledge of GenAI tools and concepts, and how they apply to enterprise use cases Experience delivering customer-facing technical solutions Strong communication and presentation skills Authorized to work in the U.S. without sponsorship Willingness to relocate What You'll Get Full-time, paid W-2 employment from day one Immersive AI Accelerator Program Opportunity to lead enterprise AI implementations Direct engagement with enterprise customers Medical, Dental, Vision, and 401(k) Continuous technical and professional development Clear opportunities to grow into technical and consulting leadership roles Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow. Company Description nuKudo is a workforce development and technology solutions company focused on creating real career opportunities in the digital economy. We combine training, mentorship, and hands-on experience to help people and organizations grow together. Our philosophy is simple - invest in people, and results will follow.
Job Description Job Description Design Expert Job Type: Contractor Location: Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration. Experts may contribute to either or both tracks: Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping. Design: Product design, UX/UI, design systems, component libraries, research, and usability. No formal credential is required; demonstrated expertise and shipped work are highly valued. Key Responsibilities Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration . Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies. Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports. Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work. Collaborate on task refinement and evaluation standards. Required Skills Product Design UX/UI Design Rapid Prototyping Design Systems Vibecoding / AI-Assisted Development Human-Centered Design User Research & Usability Testing Figma / Prototyping Tools Design Critique Product Judgment AI-Assisted Coding Evaluation & Rubric Development Preferred Qualifications 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder. Experience at a product- or design-focused company, startup, or notable independent product. Direct ownership of shipped product designs, design systems, or AI-assisted development workflows . Strong fluency with relevant design or AI development tools. Portfolio of shipped work strongly preferred. Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus. Contract & Payment Independent contractor engagement. Fully remote with a flexible schedule. Project duration may vary based on business needs and performance. Weekly payments via Stripe or Wise based on services rendered. Screening Questions How many years of product design, UX/UI, or AI-assisted development experience do you have? Which track do you specialize in: Vibecoding, Design, or both ? What products, design systems, or AI-assisted workflows have you shipped? Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)? Do you have a portfolio of shipped work? What experience do you have creating design critiques, rubrics, or evaluation frameworks? How soon can you start?
09/24/2026
Full time
Job Description Job Description Design Expert Job Type: Contractor Location: Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration. Experts may contribute to either or both tracks: Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping. Design: Product design, UX/UI, design systems, component libraries, research, and usability. No formal credential is required; demonstrated expertise and shipped work are highly valued. Key Responsibilities Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration . Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies. Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports. Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work. Collaborate on task refinement and evaluation standards. Required Skills Product Design UX/UI Design Rapid Prototyping Design Systems Vibecoding / AI-Assisted Development Human-Centered Design User Research & Usability Testing Figma / Prototyping Tools Design Critique Product Judgment AI-Assisted Coding Evaluation & Rubric Development Preferred Qualifications 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder. Experience at a product- or design-focused company, startup, or notable independent product. Direct ownership of shipped product designs, design systems, or AI-assisted development workflows . Strong fluency with relevant design or AI development tools. Portfolio of shipped work strongly preferred. Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus. Contract & Payment Independent contractor engagement. Fully remote with a flexible schedule. Project duration may vary based on business needs and performance. Weekly payments via Stripe or Wise based on services rendered. Screening Questions How many years of product design, UX/UI, or AI-assisted development experience do you have? Which track do you specialize in: Vibecoding, Design, or both ? What products, design systems, or AI-assisted workflows have you shipped? Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)? Do you have a portfolio of shipped work? What experience do you have creating design critiques, rubrics, or evaluation frameworks? How soon can you start?
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
09/24/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
SimVentions, Inc - Glassdoor 4.6
Manassas, Virginia
Overview: SimVentions is 100% employee-owned and has consistently been voted one of Virginia's Best Places to Work! We are looking for a Senior Systems Engineer to serve alongside a high-functioning team of engineers supporting the design of TTWCS software (e.g., requirements, capabilities, enhancements, interface documents, architecture). Travel: none anticipated Clearance: An ACTIVE Secret Clearance is required for this position. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: 10 years of systems engineering experience (20 years if no degree) focused on requirements development and management of software systems. This includes experience related to the identification, analysis, and documentation of complex systems involving DoD weapon and/or fire control systems. Two (2) years of concurrent experience with Navy surface or submarine shipboard weapons and/or fire control systems to include current Navy programs such as Tomahawk or other related missile and weapon control systems. Experience in requirements definition as well as initial and detailed system design activities Proficient in Microsoft Office. Responsibilities: Review, analyze, and create requirements at multiple levels (SSS, SSDD, SRS, HRS) for weapon system capability and functionality Determine impacts on the weapon system, requirements, and other design specifications during engineering development Resolve change requests (CR)/problem reports (PR) related to discrepancies between design documentation and system functionality Create CRs/PRs as needed to document system problems and/or design document errors Develop Candidate Change Packages (CCP) to engineer new system capabilities and document design details and impacts in engineering documents Review, analyze, and develop system architectures, especially using MagicDraw Provide human factors engineering, prototyping, and analysis support for the development and maintenance of the system user interface requirements and specifications (e.g., the Human Computer Interface (HCI) Design Specification Review, analyze, and provide inputs for external interface documents. Serve as document custodian of external interface documents by making document updates, adjudicating comments against the document, and maintaining Configuration Management (CM) Provide engineering expertise during IPT meetings, Software Requirements Management Boards (SRMB), Engineering Review Boards (ERB), Deficiency Review Boards (DRB), Development and Deployment reviews, Configuration Control Boards (CCB), Interface Working Groups (IWG), and Single System Initiative (SSI) Reviews by performing package development, package review, and comment and documentation of results Communicate meeting and engineering event summaries verbally and in writing, including the ability to provide technical briefs, defend engineering and design decisions, and present at reviews Preferred Skills and Experience: Experience in concept definition, Department of Defense (DoD) Architecture Framework compliant architecture development, and Cameo. Five (5) years of engineering experience with a DoD major weapon and/or fire control systems program. Education: A Bachelor of Science degree from an accredited college or university in an engineering, scientific, or technical discipline or 10 years of experience in lieu of a degree. Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $126,000 - $155,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
09/24/2026
Full time
Overview: SimVentions is 100% employee-owned and has consistently been voted one of Virginia's Best Places to Work! We are looking for a Senior Systems Engineer to serve alongside a high-functioning team of engineers supporting the design of TTWCS software (e.g., requirements, capabilities, enhancements, interface documents, architecture). Travel: none anticipated Clearance: An ACTIVE Secret Clearance is required for this position. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: 10 years of systems engineering experience (20 years if no degree) focused on requirements development and management of software systems. This includes experience related to the identification, analysis, and documentation of complex systems involving DoD weapon and/or fire control systems. Two (2) years of concurrent experience with Navy surface or submarine shipboard weapons and/or fire control systems to include current Navy programs such as Tomahawk or other related missile and weapon control systems. Experience in requirements definition as well as initial and detailed system design activities Proficient in Microsoft Office. Responsibilities: Review, analyze, and create requirements at multiple levels (SSS, SSDD, SRS, HRS) for weapon system capability and functionality Determine impacts on the weapon system, requirements, and other design specifications during engineering development Resolve change requests (CR)/problem reports (PR) related to discrepancies between design documentation and system functionality Create CRs/PRs as needed to document system problems and/or design document errors Develop Candidate Change Packages (CCP) to engineer new system capabilities and document design details and impacts in engineering documents Review, analyze, and develop system architectures, especially using MagicDraw Provide human factors engineering, prototyping, and analysis support for the development and maintenance of the system user interface requirements and specifications (e.g., the Human Computer Interface (HCI) Design Specification Review, analyze, and provide inputs for external interface documents. Serve as document custodian of external interface documents by making document updates, adjudicating comments against the document, and maintaining Configuration Management (CM) Provide engineering expertise during IPT meetings, Software Requirements Management Boards (SRMB), Engineering Review Boards (ERB), Deficiency Review Boards (DRB), Development and Deployment reviews, Configuration Control Boards (CCB), Interface Working Groups (IWG), and Single System Initiative (SSI) Reviews by performing package development, package review, and comment and documentation of results Communicate meeting and engineering event summaries verbally and in writing, including the ability to provide technical briefs, defend engineering and design decisions, and present at reviews Preferred Skills and Experience: Experience in concept definition, Department of Defense (DoD) Architecture Framework compliant architecture development, and Cameo. Five (5) years of engineering experience with a DoD major weapon and/or fire control systems program. Education: A Bachelor of Science degree from an accredited college or university in an engineering, scientific, or technical discipline or 10 years of experience in lieu of a degree. Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $126,000 - $155,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
Job Description Job Description Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2026! Belay Technologies is seeking a Configuration Manager to join our intel team. This candidate will be responsible for configuration management (CM) of developmental and operational systems. Works on developmental and operational teams to create and maintain configuration baselines (development, test, production, etc.) supporting developmental and operational systems. Uses or recommends automated CM tools to implement CM policies and procedures. Develops or modifies CM plans, policies, and procedures tailored to the complexity and scope of the developmental or operational system. Implement CM discipline for the entire life cycle of systems from initial requirements/capabilities baselines to system end-of-life. Perform change control and configuration audits. Candidates should have the following qualifications: TS/SCI Clearance with polygraph (CI Poly within 5 years) Eight (8) years' experience as a CM in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in a technical or business discipline from an accredited college or university is required. Four (4) years of additional CM experience may be substituted for a bachelor's degree. A Master's degree may be substituted for two (2) years of experience, thereby reducing the total years of experience to six (6). If assigned to a developmental program, one (1) year of experience using a source code control system for a developmental program of similar scope and complexity is required. Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program 10% matching in 401(k) contributions vested on day one $5,000 annual training/tuition Student Loan Repayment Program 100% company-funded HSA Rich medical coverage (100% coinsurance) Dental coverage including orthodontia Up to $420,000 in life insurance, premiums 100% company funded Amazon Prime, gym reimbursement, monthly lunches, games and prizes Pet adoption program, generous referral bonus program, fun events, and more! At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development. Salary Range: $168,000 to $240,000 Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by JazzHR 4MsoDQQmTH
09/24/2026
Full time
Job Description Job Description Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2026! Belay Technologies is seeking a Configuration Manager to join our intel team. This candidate will be responsible for configuration management (CM) of developmental and operational systems. Works on developmental and operational teams to create and maintain configuration baselines (development, test, production, etc.) supporting developmental and operational systems. Uses or recommends automated CM tools to implement CM policies and procedures. Develops or modifies CM plans, policies, and procedures tailored to the complexity and scope of the developmental or operational system. Implement CM discipline for the entire life cycle of systems from initial requirements/capabilities baselines to system end-of-life. Perform change control and configuration audits. Candidates should have the following qualifications: TS/SCI Clearance with polygraph (CI Poly within 5 years) Eight (8) years' experience as a CM in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in a technical or business discipline from an accredited college or university is required. Four (4) years of additional CM experience may be substituted for a bachelor's degree. A Master's degree may be substituted for two (2) years of experience, thereby reducing the total years of experience to six (6). If assigned to a developmental program, one (1) year of experience using a source code control system for a developmental program of similar scope and complexity is required. Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program 10% matching in 401(k) contributions vested on day one $5,000 annual training/tuition Student Loan Repayment Program 100% company-funded HSA Rich medical coverage (100% coinsurance) Dental coverage including orthodontia Up to $420,000 in life insurance, premiums 100% company funded Amazon Prime, gym reimbursement, monthly lunches, games and prizes Pet adoption program, generous referral bonus program, fun events, and more! At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development. Salary Range: $168,000 to $240,000 Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by JazzHR 4MsoDQQmTH
Senior Software Engineer - .NET & Enterprise Systems About the Role We are seeking a Senior Software Engineer to join an enterprise technology team focused on building, maintaining, and modernizing critical business applications. This is an opportunity for an engineer who enjoys working within complex, established environments and understands that great software engineering is about more than writing code. You'll be responsible for understanding how systems support the business, translating real-world requirements into thoughtful technical solutions, and improving existing applications without disrupting the operations that depend on them. The current environment is heavily centered around C#, .NET, and SQL Server, while the team is actively modernizing its technology foundation. You'll have the opportunity to contribute to initiatives involving Linux, Docker, containerization, cloud-native technologies, and more portable data solutions. The ideal candidate is comfortable operating across the full software development lifecycle and can move between technical implementation, architecture, requirements gathering, and collaboration with business stakeholders. What You'll Do Design, develop, maintain, and modernize enterprise applications using C# and .NET, including .NET Framework and modern .NET Take ownership of significant portions of the software development lifecycle, including requirements gathering, technical design, development, testing, deployment, and ongoing support Work with SQL Server data layers, including schema design, complex queries, stored procedures, and performance optimization Contribute to the modernization and migration of applications toward Linux-based container environments Containerize .NET applications using Docker and contribute to orchestration strategies using Kubernetes or comparable technologies Collaborate directly with business stakeholders to understand workflows, clarify requirements, and translate business needs into technical solutions Challenge requirements and approaches when necessary to identify potential risks, gaps, or opportunities for improvement before development begins Build and consume REST APIs and integrate applications with internal and third-party systems Apply strong software design principles, coding standards, architectural patterns, and development practices Identify technical debt and help develop practical, prioritized plans for addressing it Troubleshoot and support applications in production environments Mentor less experienced developers and contribute to the overall growth of the engineering team Document technical decisions, system behavior, and implementation details to support long-term maintainability What We're Looking For Technical Experience Strong professional experience with C# and the .NET ecosystem Experience working across both .NET Framework and modern .NET Strong understanding of object-oriented design, SOLID principles, and common enterprise design patterns Strong SQL Server experience, including database design, complex queries, stored procedures, and performance tuning Experience with Docker and application containerization Familiarity with Kubernetes or similar container orchestration platforms Comfortable working in Linux environments, including troubleshooting and application operation Experience with Git, CI/CD pipelines, and production deployments Experience building and consuming RESTful APIs Understanding of distributed systems and application integration patterns Business & SDLC Experience Experience gathering, clarifying, and documenting business requirements Ability to understand complex business workflows and accurately translate them into software Experience owning or co-owning the end-to-end SDLC, beyond simply writing code Strong ability to evaluate requirements and identify when a request needs to be reconsidered or reframed Strong written communication skills, particularly around technical documentation and design decisions Ability to work effectively with both technical and non-technical stakeholders Working Style Highly autonomous and capable of managing priorities, commitments, and quality without close supervision A systems thinker who considers downstream impacts before making changes to shared systems Comfortable working within complex, established applications and environments Honest and transparent about technical risk, scope, and delivery timelines Comfortable navigating ambiguity and bringing structure to unclear requirements Collaborative and willing to mentor and support other engineers Takes ownership of problems from discovery through resolution Nice to Have Experience migrating .NET applications from Windows environments to Linux-based containers Experience with alternative relational databases such as PostgreSQL or MySQL Exposure to cloud-native application architecture and open-source technologies Experience with workflow or BPM platforms Experience designing workflow or state-machine logic Experience working in regulated or compliance-driven environments Familiarity with message queues, event-driven architecture, or asynchronous integration patterns Experience working across Microsoft and non-Microsoft technology ecosystems Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied . click apply for full job details
09/24/2026
Full time
Senior Software Engineer - .NET & Enterprise Systems About the Role We are seeking a Senior Software Engineer to join an enterprise technology team focused on building, maintaining, and modernizing critical business applications. This is an opportunity for an engineer who enjoys working within complex, established environments and understands that great software engineering is about more than writing code. You'll be responsible for understanding how systems support the business, translating real-world requirements into thoughtful technical solutions, and improving existing applications without disrupting the operations that depend on them. The current environment is heavily centered around C#, .NET, and SQL Server, while the team is actively modernizing its technology foundation. You'll have the opportunity to contribute to initiatives involving Linux, Docker, containerization, cloud-native technologies, and more portable data solutions. The ideal candidate is comfortable operating across the full software development lifecycle and can move between technical implementation, architecture, requirements gathering, and collaboration with business stakeholders. What You'll Do Design, develop, maintain, and modernize enterprise applications using C# and .NET, including .NET Framework and modern .NET Take ownership of significant portions of the software development lifecycle, including requirements gathering, technical design, development, testing, deployment, and ongoing support Work with SQL Server data layers, including schema design, complex queries, stored procedures, and performance optimization Contribute to the modernization and migration of applications toward Linux-based container environments Containerize .NET applications using Docker and contribute to orchestration strategies using Kubernetes or comparable technologies Collaborate directly with business stakeholders to understand workflows, clarify requirements, and translate business needs into technical solutions Challenge requirements and approaches when necessary to identify potential risks, gaps, or opportunities for improvement before development begins Build and consume REST APIs and integrate applications with internal and third-party systems Apply strong software design principles, coding standards, architectural patterns, and development practices Identify technical debt and help develop practical, prioritized plans for addressing it Troubleshoot and support applications in production environments Mentor less experienced developers and contribute to the overall growth of the engineering team Document technical decisions, system behavior, and implementation details to support long-term maintainability What We're Looking For Technical Experience Strong professional experience with C# and the .NET ecosystem Experience working across both .NET Framework and modern .NET Strong understanding of object-oriented design, SOLID principles, and common enterprise design patterns Strong SQL Server experience, including database design, complex queries, stored procedures, and performance tuning Experience with Docker and application containerization Familiarity with Kubernetes or similar container orchestration platforms Comfortable working in Linux environments, including troubleshooting and application operation Experience with Git, CI/CD pipelines, and production deployments Experience building and consuming RESTful APIs Understanding of distributed systems and application integration patterns Business & SDLC Experience Experience gathering, clarifying, and documenting business requirements Ability to understand complex business workflows and accurately translate them into software Experience owning or co-owning the end-to-end SDLC, beyond simply writing code Strong ability to evaluate requirements and identify when a request needs to be reconsidered or reframed Strong written communication skills, particularly around technical documentation and design decisions Ability to work effectively with both technical and non-technical stakeholders Working Style Highly autonomous and capable of managing priorities, commitments, and quality without close supervision A systems thinker who considers downstream impacts before making changes to shared systems Comfortable working within complex, established applications and environments Honest and transparent about technical risk, scope, and delivery timelines Comfortable navigating ambiguity and bringing structure to unclear requirements Collaborative and willing to mentor and support other engineers Takes ownership of problems from discovery through resolution Nice to Have Experience migrating .NET applications from Windows environments to Linux-based containers Experience with alternative relational databases such as PostgreSQL or MySQL Exposure to cloud-native application architecture and open-source technologies Experience with workflow or BPM platforms Experience designing workflow or state-machine logic Experience working in regulated or compliance-driven environments Familiarity with message queues, event-driven architecture, or asynchronous integration patterns Experience working across Microsoft and non-Microsoft technology ecosystems Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied . click apply for full job details
We're partnering with a rapidly growing consumer-facing organization building an internal enterprise AI orchestration platform focused on intelligent support, enterprise knowledge retrieval, workflow automation, and AI-enabled experiences across field operations and corporate teams. This is not a traditional software engineering role centered around a specific language or framework. The team is looking for a strong senior engineer who remains highly hands-on technically, thinks in systems, and uses AI-assisted development tools to accelerate delivery of production-ready software. The environment is highly integration-focused and product-oriented, with an emphasis on building scalable internal platforms and operational tooling rather than isolated AI demos or prototypes. What You'll Be Doing Build AI-enabled internal applications and workflow experiences across desktop and mobile contexts Develop secure API-first integrations across enterprise systems, SaaS platforms, and internal services Design and implement agentic workflows capable of retrieving knowledge, calling tools, and automating operational tasks Work closely with architecture, product, and business stakeholders to translate ambiguous operational challenges into working software Use AI-assisted development tooling such as Cursor, Claude Code, GitHub Copilot, or similar platforms to accelerate engineering delivery Review, validate, and harden AI-generated code for production use Contribute to scalable engineering patterns, integration standards, and platform architecture decisions Build with strong attention to testing, observability, maintainability, and security Required Skills & Experience 4+ years of professional software engineering experience Strong background in application, platform, or full stack engineering Experience building production-grade enterprise applications, integrations, or internal platforms Strong API and systems integration experience Familiarity with API gateway or service gateway platforms such as Kong, Apigee, AWS API Gateway, or similar technologies Experience working directly with business stakeholders and operating in ambiguous environments Hands-on experience using AI-assisted development workflows in real-world software delivery Strong systems thinking and product mindset Experience with CI/CD, automated testing, observability, and secure engineering practices Preferred Experience Agentic AI frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or similar MCP, tool-calling, or function-calling workflows RAG, vector search, embeddings, or enterprise knowledge retrieval systems AWS Bedrock or enterprise LLM platforms Experience with enterprise automation or orchestration tooling Familiarity with Workato, MuleSoft, Boomi, or similar iPaaS platforms Exposure to retail, restaurant, field operations, or enterprise support environments Experience integrating platforms such as Zendesk, Workday, Teams, Snowflake, Datadog, or similar enterprise systems Mobile application exposure is helpful but not required Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/24/2026
Full time
We're partnering with a rapidly growing consumer-facing organization building an internal enterprise AI orchestration platform focused on intelligent support, enterprise knowledge retrieval, workflow automation, and AI-enabled experiences across field operations and corporate teams. This is not a traditional software engineering role centered around a specific language or framework. The team is looking for a strong senior engineer who remains highly hands-on technically, thinks in systems, and uses AI-assisted development tools to accelerate delivery of production-ready software. The environment is highly integration-focused and product-oriented, with an emphasis on building scalable internal platforms and operational tooling rather than isolated AI demos or prototypes. What You'll Be Doing Build AI-enabled internal applications and workflow experiences across desktop and mobile contexts Develop secure API-first integrations across enterprise systems, SaaS platforms, and internal services Design and implement agentic workflows capable of retrieving knowledge, calling tools, and automating operational tasks Work closely with architecture, product, and business stakeholders to translate ambiguous operational challenges into working software Use AI-assisted development tooling such as Cursor, Claude Code, GitHub Copilot, or similar platforms to accelerate engineering delivery Review, validate, and harden AI-generated code for production use Contribute to scalable engineering patterns, integration standards, and platform architecture decisions Build with strong attention to testing, observability, maintainability, and security Required Skills & Experience 4+ years of professional software engineering experience Strong background in application, platform, or full stack engineering Experience building production-grade enterprise applications, integrations, or internal platforms Strong API and systems integration experience Familiarity with API gateway or service gateway platforms such as Kong, Apigee, AWS API Gateway, or similar technologies Experience working directly with business stakeholders and operating in ambiguous environments Hands-on experience using AI-assisted development workflows in real-world software delivery Strong systems thinking and product mindset Experience with CI/CD, automated testing, observability, and secure engineering practices Preferred Experience Agentic AI frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or similar MCP, tool-calling, or function-calling workflows RAG, vector search, embeddings, or enterprise knowledge retrieval systems AWS Bedrock or enterprise LLM platforms Experience with enterprise automation or orchestration tooling Familiarity with Workato, MuleSoft, Boomi, or similar iPaaS platforms Exposure to retail, restaurant, field operations, or enterprise support environments Experience integrating platforms such as Zendesk, Workday, Teams, Snowflake, Datadog, or similar enterprise systems Mobile application exposure is helpful but not required Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
Senior Network Automation Engineer Employment Type: Contract-to-Hire Location: Fully Remote About the Role We are seeking an experienced Senior Network Automation Engineer to join a platform technology team in a senior individual contributor role focused on network automation. This position is responsible for the development, extension, and ongoing support of a production-grade network automation platform that spans multiple network domains and cloud environments. The platform is built on a modern Python backend stack, including FastAPI, async/multi-process services, Kafka, Redis, and PostgreSQL. It integrates with Azure Data Explorer for telemetry and observability and provides operational interfaces through a Vue3 single-page application. Infrastructure is deployed across multiple clouds using Crossplane, and the network layer includes Cisco SD-WAN, Cisco Meraki, Webex, Adtran nCommand, Juniper, Arista, and Nokia (NFM-P/NFM-T). Identity and access management is handled through Auth0, Azure Entra ID, and a role-based access control (RBAC) model. This is a senior-level role requiring genuine depth in both software engineering and network technologies. The ideal candidate will bring professional experience developing production Python services alongside meaningful hands-on knowledge of enterprise or service provider networking. Key Responsibilities Design, develop, and maintain Python backend services using FastAPI, Pydantic, and SQLAlchemy, including async and multi-process service patterns Build and maintain event-driven integrations using Kafka Leverage Redis for caching and state management Develop and extend integrations with network management systems, including: Cisco SD-WAN Cisco Meraki Webex Adtran nCommand Juniper Arista Nokia NFM-P/NFM-T Contribute to telemetry data pipelines and observability tooling using Azure Data Explorer, Grafana, and custom dashboards Maintain and extend the Vue3 front end for operational and engineering tooling Manage infrastructure-as-code using Crossplane across multi-cloud environments Work within and extend the platform's identity and access control model using Auth0, Azure Entra ID, and RBAC Collaborate with network engineers and operations teams to translate domain requirements into platform capabilities Take ownership of deliverables across the full development lifecycle, including design, implementation, testing, deployment, and documentation Required Qualifications Software Engineering Demonstrated professional experience developing production Python services Experience with async frameworks, ORM-based data access, and service-oriented design patterns Experience building or working within event-driven architectures Hands-on Kafka experience is a strong plus Proficiency with PostgreSQL, including schema design and query optimization Working knowledge of JavaScript and front-end development Experience with Vue3 or a comparable modern front-end framework preferred Familiarity with OAuth2/OIDC, RBAC, and enterprise identity providers, including Auth0, Azure Entra ID, or equivalent Experience with infrastructure-as-code in cloud environments Crossplane or Terraform experience preferred Proficiency with Git, CI/CD pipelines, and containerized application deployment Experience with Docker and Kubernetes Networking Meaningful hands-on experience in enterprise or service provider network environments, including design, operations, or engineering Strong working knowledge of BGP, OSPF, MPLS, SD-WAN, and network security fundamentals Familiarity with one or more of the following vendor platforms: Cisco SD-WAN Cisco Meraki Webex Juniper Arista Nokia Adtran Ability to read and interpret device configurations and network telemetry data Advanced networking certification strongly preferred, including CCNP or higher, or equivalent certification from Juniper, Arista, or Nokia CCIE or equivalent is a significant differentiator Preferred Qualifications Experience with Azure Data Explorer, including KQL and telemetry ingestion pipelines Familiarity with streaming telemetry, including gNMI/gNMIc and model-driven telemetry from Cisco, Juniper, or Nokia platforms Experience with Nokia NFM-P/NFM-T or comparable OSS/NMS platforms Background in telco, service provider, or carrier-grade network environments Experience integrating network automation platforms with ITSM or OSS/BSS systems What You'll Be Working With Software & Development: Python, FastAPI, Pydantic, SQLAlchemy, JavaScript, Vue3 Data & Messaging: PostgreSQL, Kafka, Redis, Azure Data Explorer, KQL Cloud & Infrastructure: Multi-cloud environments, Crossplane, Terraform, Docker, Kubernetes, CI/CD Networking: Cisco SD-WAN, Cisco Meraki, Webex, Adtran nCommand, Juniper, Arista, Nokia NFM-P/NFM-T Identity & Access: Auth0, Azure Entra ID, OAuth2/OIDC, RBAC Observability: Azure Data Explorer, Grafana, network telemetry, custom dashboards Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details
09/24/2026
Full time
Senior Network Automation Engineer Employment Type: Contract-to-Hire Location: Fully Remote About the Role We are seeking an experienced Senior Network Automation Engineer to join a platform technology team in a senior individual contributor role focused on network automation. This position is responsible for the development, extension, and ongoing support of a production-grade network automation platform that spans multiple network domains and cloud environments. The platform is built on a modern Python backend stack, including FastAPI, async/multi-process services, Kafka, Redis, and PostgreSQL. It integrates with Azure Data Explorer for telemetry and observability and provides operational interfaces through a Vue3 single-page application. Infrastructure is deployed across multiple clouds using Crossplane, and the network layer includes Cisco SD-WAN, Cisco Meraki, Webex, Adtran nCommand, Juniper, Arista, and Nokia (NFM-P/NFM-T). Identity and access management is handled through Auth0, Azure Entra ID, and a role-based access control (RBAC) model. This is a senior-level role requiring genuine depth in both software engineering and network technologies. The ideal candidate will bring professional experience developing production Python services alongside meaningful hands-on knowledge of enterprise or service provider networking. Key Responsibilities Design, develop, and maintain Python backend services using FastAPI, Pydantic, and SQLAlchemy, including async and multi-process service patterns Build and maintain event-driven integrations using Kafka Leverage Redis for caching and state management Develop and extend integrations with network management systems, including: Cisco SD-WAN Cisco Meraki Webex Adtran nCommand Juniper Arista Nokia NFM-P/NFM-T Contribute to telemetry data pipelines and observability tooling using Azure Data Explorer, Grafana, and custom dashboards Maintain and extend the Vue3 front end for operational and engineering tooling Manage infrastructure-as-code using Crossplane across multi-cloud environments Work within and extend the platform's identity and access control model using Auth0, Azure Entra ID, and RBAC Collaborate with network engineers and operations teams to translate domain requirements into platform capabilities Take ownership of deliverables across the full development lifecycle, including design, implementation, testing, deployment, and documentation Required Qualifications Software Engineering Demonstrated professional experience developing production Python services Experience with async frameworks, ORM-based data access, and service-oriented design patterns Experience building or working within event-driven architectures Hands-on Kafka experience is a strong plus Proficiency with PostgreSQL, including schema design and query optimization Working knowledge of JavaScript and front-end development Experience with Vue3 or a comparable modern front-end framework preferred Familiarity with OAuth2/OIDC, RBAC, and enterprise identity providers, including Auth0, Azure Entra ID, or equivalent Experience with infrastructure-as-code in cloud environments Crossplane or Terraform experience preferred Proficiency with Git, CI/CD pipelines, and containerized application deployment Experience with Docker and Kubernetes Networking Meaningful hands-on experience in enterprise or service provider network environments, including design, operations, or engineering Strong working knowledge of BGP, OSPF, MPLS, SD-WAN, and network security fundamentals Familiarity with one or more of the following vendor platforms: Cisco SD-WAN Cisco Meraki Webex Juniper Arista Nokia Adtran Ability to read and interpret device configurations and network telemetry data Advanced networking certification strongly preferred, including CCNP or higher, or equivalent certification from Juniper, Arista, or Nokia CCIE or equivalent is a significant differentiator Preferred Qualifications Experience with Azure Data Explorer, including KQL and telemetry ingestion pipelines Familiarity with streaming telemetry, including gNMI/gNMIc and model-driven telemetry from Cisco, Juniper, or Nokia platforms Experience with Nokia NFM-P/NFM-T or comparable OSS/NMS platforms Background in telco, service provider, or carrier-grade network environments Experience integrating network automation platforms with ITSM or OSS/BSS systems What You'll Be Working With Software & Development: Python, FastAPI, Pydantic, SQLAlchemy, JavaScript, Vue3 Data & Messaging: PostgreSQL, Kafka, Redis, Azure Data Explorer, KQL Cloud & Infrastructure: Multi-cloud environments, Crossplane, Terraform, Docker, Kubernetes, CI/CD Networking: Cisco SD-WAN, Cisco Meraki, Webex, Adtran nCommand, Juniper, Arista, Nokia NFM-P/NFM-T Identity & Access: Auth0, Azure Entra ID, OAuth2/OIDC, RBAC Observability: Azure Data Explorer, Grafana, network telemetry, custom dashboards Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details
Senior / Lead .NET Software Engineer / SRE DETAILS Location: Arlington, TX 76014 (hybrid onsite 2-days per week) Openings: 2 (1 Senior .NET / 1 Lead .NET) Position Type: 6M C2H Hourly / Salary: to $160K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior .NET Software Engineer / SRE for a 6M C2H opportunity that is located in Arlington, TX 76014 (hybrid onsite 2-days per week). About the Project: This is an ongoing multi-year digital transformation initiative (now roughly 2+ years in) focused on modernizing financial services platforms, making them more scalable, reliable, automated, and cloud-native. The .NET Engineer / SRE will be building and extending tools / frameworks for SRE practices, including automation scripts, custom monitoring, CI/CD enhancements, reliability tooling, etc. The .NET Engineer / SRE will help bridge the gap between development teams (writing .NET) and SREs (ensuring reliability at scale), especially within this strategic / tool building-focused SRE practice. This is not a traditional .NET Developer (no owning user-facing APIs or business logic for financial services), but rather applying .NET skills to SRE tasks, including building custom tools for automation, reliability, and release engineering, creating GITHub Copilot context files to embed SRE practices (security / performance checks) early in development cycles, debugging / refactoring code in production environments, performing root-cause analysis, and iterating post-deployment. Additionally, there's no traditional on-call production monitoring / support, whereas the focus will be on design, architecture, automation, and enabling scalable DevOps / SRE practices for development teams, rather than day-to-day firefighting. Ideal Senior Candidate:The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Senior Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). Ideal LEAD Candidate (leading teams of 5+): The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Lead Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). JOB REQUIREMETS .NET Core Development (hands-on core expertise) - C# / .NET Core Development Building / Maintaining Production-Grade Applications / APIs / Services Cloud Modernization - Migrating Legacy .NET Applications to Cloud-Native Azure Architectures Azure-Native Application Development - Designing / Deploying / Supporting .NET Applications Directly in Azure with Real Production Workloads (Beyond Portal-Based "Click-Ops") AKS / Containerization - Containerizing .NET Applications (Docker Multi-Stage Builds) Deploying / Managing within AKS (Deployments / Services / ConfigMaps / Secrets / Helm / Node Pools / Autoscaling / Ingress / Cluster-Level Troubleshooting) CI/CD / Azure DevOps - Building / Maintaining YAML-Based CI/CD Pipelines (Automated Builds / Testing / Security Scans / Docker Image Creation / Deployments to AKS / App Services) Azure Platform Services Integration - Integrating Core Azure Services into .NET Applications (App Services / Azure Functions / Service Bus / Event Grid / Azure Monitor / Application Insights With Custom Telemetry / Distributed Tracing / Metrics) IaC / Terraform - Developing / Managing Terraform-Based Infrastructure (AKS / VNETs / Private Endpoints / Service Bus / SQL Database / Storage) Aligned with Application Development Identity / Security (Azure) - Implementing Secure Patterns (Managed Identities / Entra ID / RBAC / Secure Connectivity / Polly Retry Policies / Private Endpoints / VNET Integration) within .NET Services Observability / SRE Practices - Applying SRE Principles within Development (Application Insights / Log Analytics / Alerting / Performance Monitoring / Production Troubleshooting) Database Design / Optimization - Oracle / MS SQL Server / NoSQL (CosmosDB) SQL Scripting (hands-on) Designing / Evolving Database Schemas Performing Query Performance Analysis Indexing to Deliver Scalable / Performant Services Problem Solving / Collaboration - Driving Root Cause Analysis / Debugging for .NET Applications in Azure Collaborating within SRE / Cross-Functional Teams PREFERRED (not required) Azure Governance / Best Practices - Azure Policy / GitHub Copilot Context / Embedding SRE Practices Early in Development Lifecycle Architecture Frameworks (Familiarity) - Azure Well-Architected Framework (Reliability / Operational Excellence) Advanced AKS / Hybrid - Exposure to Advanced AKS Topics (Cluster Autoscaling / Service Mesh / Cost Optimization) / Hybrid Scenarios (Azure Arc) AI / Automation Enablement - Driving Adoption of AI-Powered Tools (GitHub Copilot) to Improve Developer Productivity / Code Quality By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/24/2026
Full time
Senior / Lead .NET Software Engineer / SRE DETAILS Location: Arlington, TX 76014 (hybrid onsite 2-days per week) Openings: 2 (1 Senior .NET / 1 Lead .NET) Position Type: 6M C2H Hourly / Salary: to $160K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior .NET Software Engineer / SRE for a 6M C2H opportunity that is located in Arlington, TX 76014 (hybrid onsite 2-days per week). About the Project: This is an ongoing multi-year digital transformation initiative (now roughly 2+ years in) focused on modernizing financial services platforms, making them more scalable, reliable, automated, and cloud-native. The .NET Engineer / SRE will be building and extending tools / frameworks for SRE practices, including automation scripts, custom monitoring, CI/CD enhancements, reliability tooling, etc. The .NET Engineer / SRE will help bridge the gap between development teams (writing .NET) and SREs (ensuring reliability at scale), especially within this strategic / tool building-focused SRE practice. This is not a traditional .NET Developer (no owning user-facing APIs or business logic for financial services), but rather applying .NET skills to SRE tasks, including building custom tools for automation, reliability, and release engineering, creating GITHub Copilot context files to embed SRE practices (security / performance checks) early in development cycles, debugging / refactoring code in production environments, performing root-cause analysis, and iterating post-deployment. Additionally, there's no traditional on-call production monitoring / support, whereas the focus will be on design, architecture, automation, and enabling scalable DevOps / SRE practices for development teams, rather than day-to-day firefighting. Ideal Senior Candidate:The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Senior Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). Ideal LEAD Candidate (leading teams of 5+): The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Lead Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). JOB REQUIREMETS .NET Core Development (hands-on core expertise) - C# / .NET Core Development Building / Maintaining Production-Grade Applications / APIs / Services Cloud Modernization - Migrating Legacy .NET Applications to Cloud-Native Azure Architectures Azure-Native Application Development - Designing / Deploying / Supporting .NET Applications Directly in Azure with Real Production Workloads (Beyond Portal-Based "Click-Ops") AKS / Containerization - Containerizing .NET Applications (Docker Multi-Stage Builds) Deploying / Managing within AKS (Deployments / Services / ConfigMaps / Secrets / Helm / Node Pools / Autoscaling / Ingress / Cluster-Level Troubleshooting) CI/CD / Azure DevOps - Building / Maintaining YAML-Based CI/CD Pipelines (Automated Builds / Testing / Security Scans / Docker Image Creation / Deployments to AKS / App Services) Azure Platform Services Integration - Integrating Core Azure Services into .NET Applications (App Services / Azure Functions / Service Bus / Event Grid / Azure Monitor / Application Insights With Custom Telemetry / Distributed Tracing / Metrics) IaC / Terraform - Developing / Managing Terraform-Based Infrastructure (AKS / VNETs / Private Endpoints / Service Bus / SQL Database / Storage) Aligned with Application Development Identity / Security (Azure) - Implementing Secure Patterns (Managed Identities / Entra ID / RBAC / Secure Connectivity / Polly Retry Policies / Private Endpoints / VNET Integration) within .NET Services Observability / SRE Practices - Applying SRE Principles within Development (Application Insights / Log Analytics / Alerting / Performance Monitoring / Production Troubleshooting) Database Design / Optimization - Oracle / MS SQL Server / NoSQL (CosmosDB) SQL Scripting (hands-on) Designing / Evolving Database Schemas Performing Query Performance Analysis Indexing to Deliver Scalable / Performant Services Problem Solving / Collaboration - Driving Root Cause Analysis / Debugging for .NET Applications in Azure Collaborating within SRE / Cross-Functional Teams PREFERRED (not required) Azure Governance / Best Practices - Azure Policy / GitHub Copilot Context / Embedding SRE Practices Early in Development Lifecycle Architecture Frameworks (Familiarity) - Azure Well-Architected Framework (Reliability / Operational Excellence) Advanced AKS / Hybrid - Exposure to Advanced AKS Topics (Cluster Autoscaling / Service Mesh / Cost Optimization) / Hybrid Scenarios (Azure Arc) AI / Automation Enablement - Driving Adoption of AI-Powered Tools (GitHub Copilot) to Improve Developer Productivity / Code Quality By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description You will be part of a dynamic team of solution engineers who deliver, integrate & architect highly available and scalable infrastructure solutions for on-prem and public clouds, focused on Kubernetes, cloud technologies and automation skills. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to drive next-generation solution design and architecture. Essential Functions Develop and architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Develop integrations with AI/ML frameworks, chatbots, and agents to enhance automation Lead technical initiatives leveraging agentic AI, LLMs to automate workflows and improve developer experience Deliver secure, highly available and scalable infrastructure solutions through automation Experienced with docker, container and Kubernetes for container orchestration Hands-on experience in driving the design and implementation of solutions on one of the major public clouds, such as AWS, GCP, Azure with expertise in assessing, developing or migrating well architected applications for containers and cloud Design and build using infrastructure as code and automated testing Develop standard automation templates for deployment of public cloud infrastructure and platform components This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications • 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) • 5 or more years of relevant work experience in systems architecture, engineering or development including experience in cloud automation frameworks, Hybrid cloud infrastructure deployments with a bachelor's degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges and converting business processes into automated agentic workflows • Experience in designing, building, and running production systems in cloud or migrating to the cloud and or containers, practicing infrastructure as code, automated testing, and automating infrastructure tasks • Automation championing through robust automation using Python, Java, and Go to streamline end-end delivery of automated application deployment • Best in class Software Developer including Continuous Integration and Continuous Deployment (CICD) pipeline tools such Jenkins and proficient in git • Solid understanding of Linux/Unix systems, networking protocols, certificate management, secret management, system design, cloud platforms (AWS, Azure, GCP), and containerization (Kubernetes, Docker) • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Demonstrated experience with hands-on Infrastructure as Code (IaC) development and deployment in Hybrid Cloud (AWS, Azure and GCP) deployments • Knowledge of AI/ML and Generative AI algorithms, and their architectural design • Proficient with container deployments and troubleshooting in Kubernetes environments Information for US Applicants For roles located in the US, the estimated salary range for this position is $110,700.00 to $ 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description You will be part of a dynamic team of solution engineers who deliver, integrate & architect highly available and scalable infrastructure solutions for on-prem and public clouds, focused on Kubernetes, cloud technologies and automation skills. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to drive next-generation solution design and architecture. Essential Functions Develop and architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Develop integrations with AI/ML frameworks, chatbots, and agents to enhance automation Lead technical initiatives leveraging agentic AI, LLMs to automate workflows and improve developer experience Deliver secure, highly available and scalable infrastructure solutions through automation Experienced with docker, container and Kubernetes for container orchestration Hands-on experience in driving the design and implementation of solutions on one of the major public clouds, such as AWS, GCP, Azure with expertise in assessing, developing or migrating well architected applications for containers and cloud Design and build using infrastructure as code and automated testing Develop standard automation templates for deployment of public cloud infrastructure and platform components This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications • 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) • 5 or more years of relevant work experience in systems architecture, engineering or development including experience in cloud automation frameworks, Hybrid cloud infrastructure deployments with a bachelor's degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges and converting business processes into automated agentic workflows • Experience in designing, building, and running production systems in cloud or migrating to the cloud and or containers, practicing infrastructure as code, automated testing, and automating infrastructure tasks • Automation championing through robust automation using Python, Java, and Go to streamline end-end delivery of automated application deployment • Best in class Software Developer including Continuous Integration and Continuous Deployment (CICD) pipeline tools such Jenkins and proficient in git • Solid understanding of Linux/Unix systems, networking protocols, certificate management, secret management, system design, cloud platforms (AWS, Azure, GCP), and containerization (Kubernetes, Docker) • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Demonstrated experience with hands-on Infrastructure as Code (IaC) development and deployment in Hybrid Cloud (AWS, Azure and GCP) deployments • Knowledge of AI/ML and Generative AI algorithms, and their architectural design • Proficient with container deployments and troubleshooting in Kubernetes environments Information for US Applicants For roles located in the US, the estimated salary range for this position is $110,700.00 to $ 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Sr. Manager; Software Engineering leads a team responsible for reviewing business requirements and developing functional and technical design documentation. This role oversees the design and implementation of testing procedures for APIs, abstractions, and integration patterns to address distributed computing challenges, including end-to-end and integration testing. The Sr. Manager participates in design reviews, providing input on requirements, product designs, schedules, and potential issues, and works across the team to ensure productivity, predictability, and delivery of high-quality results. The position includes accountability for code review and the team's development and testing activities, as well as participation in proof of concepts and technical evaluations of new technologies. The Sr. Manager is expected to foster a collaborative environment, ensuring the team meets business needs and delivers robust solutions. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) and agentic development to support everyday work. Essential Functions: People Leadership: Direct, mentor, and build a high-performing team of 8+ software engineers. Drive career development, performance management, regular 1:1s, and goal setting. Team Execution & Delivery: Oversee end-to-end application development deliverables including unit design, coding, code reviews, testing, and release management. Resource & Capacity Planning: Manage team workload, sprint planning, hiring, onboarding, and resource allocation to meet project timelines and deliverables. Technical & Strategic Guidance: Collaborate with technical leads, architects, and product managers to define solution approaches, assess scope, and evaluate technical feasibility. Agile Leadership: Drive agile development workflows utilizing modern open-source, CI/CD, and DevOps tools to streamline continuous integration and delivery pipelines. Cross-Functional Collaboration: Partner closely with global cross-functional teams, including product management, QA, security, and operations, to resolve blockers and ensure aligned delivery. Compliance & Quality: Ensure development adheres to Visa Development Management Methodology, Technical Security Requirements, and Secure Software Development Lifecycle (SSDLC) protocols. Documentation & Process Improvement: Maintain clear software, operational, and architectural documentation while continually improving engineering practices and procedures. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience and a Bachelors degree, OR 11+ years of relevant work experience. Experience building and supporting large-scale, high-performance, mission-critical applications. Strong hands-on software engineering experience, including coding, code reviews, and technical design. Proven ability to lead technical initiatives and drive architecture decisions. Experience with cloud-native technologies, distributed systems, APIs, and microservices. Experience supporting Tier-0 or highly available production systems. Ability to mentor engineers and provide technical leadership across engineering teams. Strong understanding of software engineering best practices, including CI/CD, testing, observability, and operational excellence Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD. 3+ years of direct people-management experience preferred; candidates who have led teams through technical influence, matrix leadership, or technical leadership without direct authority will also be considered Demonstrated experience leading software engineering teams, including delivery management, technical oversight, performance accountability, and talent development. Experience translating business and product requirements into scalable technical solutions, architecture decisions, delivery plans, and technical documentation. Proven ability to lead the design, development, testing, integration, deployment, and production support of complex, mission-critical applications. Strong experience overseeing API platforms, distributed systems, microservices, and enterprise integration patterns. Experience leading architecture and design reviews, evaluating technical tradeoffs, and ensuring solutions meet requirements for scalability, reliability, security, and performance. Experience establishing engineering standards and maintaining accountability for code quality, testing, secure development, release readiness, and production stability. Proven ability to manage delivery risks, dependencies, capacity, and priorities across multiple teams and cross-functional stakeholders. Experience evaluating emerging technologies, leading proofs of concept, and guiding their adoption based on business value, technical feasibility, risk, and operational readiness. Experience leading globally distributed engineering teams and collaborating across Product, Architecture, Security, SRE, Infrastructure, QA, and Operations. Strong understanding of distributed computing, cloud-native architecture, microservices, event-driven systems, and multi-region deployments. Experience building or operating large-scale, mission-critical systems on Google Cloud using technologies such as GKE, Cloud Run, Pub/Sub, Cloud Spanner, Cloud SQL, Bigtable, or Dataflow. Demonstrated success delivering secure, resilient, and high-quality solutions in a fast-paced environment with competing priorities and complex dependencies. Experience applying CI/CD, DevOps, infrastructure-as-code, observability, SRE, capacity planning, incident management, and disaster-recovery practices. Ability to communicate technical strategy, architecture decisions, delivery risks, and recommendations clearly to engineering teams, cross-functional partners, and senior leadership. Experience integrating emerging technologies, including AI-assisted engineering capabilities, into software development practices while maintaining appropriate security, quality, and governance controls. Information for US Applicants For roles located in the US, the estimated salary range for this position is $192,100.00 to $ 307,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Sr. Manager; Software Engineering leads a team responsible for reviewing business requirements and developing functional and technical design documentation. This role oversees the design and implementation of testing procedures for APIs, abstractions, and integration patterns to address distributed computing challenges, including end-to-end and integration testing. The Sr. Manager participates in design reviews, providing input on requirements, product designs, schedules, and potential issues, and works across the team to ensure productivity, predictability, and delivery of high-quality results. The position includes accountability for code review and the team's development and testing activities, as well as participation in proof of concepts and technical evaluations of new technologies. The Sr. Manager is expected to foster a collaborative environment, ensuring the team meets business needs and delivers robust solutions. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) and agentic development to support everyday work. Essential Functions: People Leadership: Direct, mentor, and build a high-performing team of 8+ software engineers. Drive career development, performance management, regular 1:1s, and goal setting. Team Execution & Delivery: Oversee end-to-end application development deliverables including unit design, coding, code reviews, testing, and release management. Resource & Capacity Planning: Manage team workload, sprint planning, hiring, onboarding, and resource allocation to meet project timelines and deliverables. Technical & Strategic Guidance: Collaborate with technical leads, architects, and product managers to define solution approaches, assess scope, and evaluate technical feasibility. Agile Leadership: Drive agile development workflows utilizing modern open-source, CI/CD, and DevOps tools to streamline continuous integration and delivery pipelines. Cross-Functional Collaboration: Partner closely with global cross-functional teams, including product management, QA, security, and operations, to resolve blockers and ensure aligned delivery. Compliance & Quality: Ensure development adheres to Visa Development Management Methodology, Technical Security Requirements, and Secure Software Development Lifecycle (SSDLC) protocols. Documentation & Process Improvement: Maintain clear software, operational, and architectural documentation while continually improving engineering practices and procedures. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience and a Bachelors degree, OR 11+ years of relevant work experience. Experience building and supporting large-scale, high-performance, mission-critical applications. Strong hands-on software engineering experience, including coding, code reviews, and technical design. Proven ability to lead technical initiatives and drive architecture decisions. Experience with cloud-native technologies, distributed systems, APIs, and microservices. Experience supporting Tier-0 or highly available production systems. Ability to mentor engineers and provide technical leadership across engineering teams. Strong understanding of software engineering best practices, including CI/CD, testing, observability, and operational excellence Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD. 3+ years of direct people-management experience preferred; candidates who have led teams through technical influence, matrix leadership, or technical leadership without direct authority will also be considered Demonstrated experience leading software engineering teams, including delivery management, technical oversight, performance accountability, and talent development. Experience translating business and product requirements into scalable technical solutions, architecture decisions, delivery plans, and technical documentation. Proven ability to lead the design, development, testing, integration, deployment, and production support of complex, mission-critical applications. Strong experience overseeing API platforms, distributed systems, microservices, and enterprise integration patterns. Experience leading architecture and design reviews, evaluating technical tradeoffs, and ensuring solutions meet requirements for scalability, reliability, security, and performance. Experience establishing engineering standards and maintaining accountability for code quality, testing, secure development, release readiness, and production stability. Proven ability to manage delivery risks, dependencies, capacity, and priorities across multiple teams and cross-functional stakeholders. Experience evaluating emerging technologies, leading proofs of concept, and guiding their adoption based on business value, technical feasibility, risk, and operational readiness. Experience leading globally distributed engineering teams and collaborating across Product, Architecture, Security, SRE, Infrastructure, QA, and Operations. Strong understanding of distributed computing, cloud-native architecture, microservices, event-driven systems, and multi-region deployments. Experience building or operating large-scale, mission-critical systems on Google Cloud using technologies such as GKE, Cloud Run, Pub/Sub, Cloud Spanner, Cloud SQL, Bigtable, or Dataflow. Demonstrated success delivering secure, resilient, and high-quality solutions in a fast-paced environment with competing priorities and complex dependencies. Experience applying CI/CD, DevOps, infrastructure-as-code, observability, SRE, capacity planning, incident management, and disaster-recovery practices. Ability to communicate technical strategy, architecture decisions, delivery risks, and recommendations clearly to engineering teams, cross-functional partners, and senior leadership. Experience integrating emerging technologies, including AI-assisted engineering capabilities, into software development practices while maintaining appropriate security, quality, and governance controls. Information for US Applicants For roles located in the US, the estimated salary range for this position is $192,100.00 to $ 307,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Shape the Future of Enterprise AI at Scale We are looking for a seasoned Software Architect (Sr. Consultant title at Visa) to join our Corporate Generative AI Technologies team. In this role, you will help architect, build, and scale enterprise-grade Generative AI and agentic applications. This is a senior, hands-on engineering role for someone who brings strong system design judgment, full-stack product engineering depth, and the ability to translate complex business workflows into scalable, reliable AI-enabled automation solutions. You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows. You will help solve hard engineering problems such as decomposing complex workflows into reusable agents, designing secure human-in-the-loop systems, and building production-grade GenAI applications that can be monitored, evaluated, governed, and continuously improved. As a Senior Consultant (Staff Software Architect), you will operate with a high degree of autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction. You will be responsible for building high-quality software while also influencing system design decisions, architectural direction, engineering standards, and best practices across the team. Key Responsibilities Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture. Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards. Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness. Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services. Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency. Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns. Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration. Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns. Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience. Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation. Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation. Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration. Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems. Technical Skills: Languages & Frameworks: Python, FastAPI, LangGraph Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS DevOps: Git, CI/CD pipelines Anthropic / OpenAI SDKs, MCP, A2A Databases & Storage: Pinecone, Redis, PostgreSQL Monitoring & Governance: Prometheus, Grafana, audit logging, access control Frontend: ReactJS, HTML, CSS, JavaScript Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. At least 8 years of experience designing, building, and operating complex distributed software systems in production environments. Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications. Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling. Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages. Strong communication skills with the ability to translate complex technical concepts to business stakeholders Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications is highly valued. Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems is preferred but not required for candidates with exceptional software architecture and distributed systems experience. Experience driving technical strategy and influencing architectural direction across organizations. Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity. Deep understanding of modern LLM ecosystems, agent frameworks, retrieval architectures, and enterprise AI deployment patterns. Familiarity with modern AI architectures including agentic workflows, memory systems, tool orchestration, MCP, and A2A frameworks Proven ability to lead cross-functional AI initiatives, including PoC development, stakeholder alignment, and enterprise rollout. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Shape the Future of Enterprise AI at Scale We are looking for a seasoned Software Architect (Sr. Consultant title at Visa) to join our Corporate Generative AI Technologies team. In this role, you will help architect, build, and scale enterprise-grade Generative AI and agentic applications. This is a senior, hands-on engineering role for someone who brings strong system design judgment, full-stack product engineering depth, and the ability to translate complex business workflows into scalable, reliable AI-enabled automation solutions. You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows. You will help solve hard engineering problems such as decomposing complex workflows into reusable agents, designing secure human-in-the-loop systems, and building production-grade GenAI applications that can be monitored, evaluated, governed, and continuously improved. As a Senior Consultant (Staff Software Architect), you will operate with a high degree of autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction. You will be responsible for building high-quality software while also influencing system design decisions, architectural direction, engineering standards, and best practices across the team. Key Responsibilities Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture. Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards. Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness. Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services. Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency. Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns. Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration. Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns. Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience. Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation. Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation. Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration. Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems. Technical Skills: Languages & Frameworks: Python, FastAPI, LangGraph Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS DevOps: Git, CI/CD pipelines Anthropic / OpenAI SDKs, MCP, A2A Databases & Storage: Pinecone, Redis, PostgreSQL Monitoring & Governance: Prometheus, Grafana, audit logging, access control Frontend: ReactJS, HTML, CSS, JavaScript Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. At least 8 years of experience designing, building, and operating complex distributed software systems in production environments. Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications. Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling. Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages. Strong communication skills with the ability to translate complex technical concepts to business stakeholders Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications is highly valued. Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems is preferred but not required for candidates with exceptional software architecture and distributed systems experience. Experience driving technical strategy and influencing architectural direction across organizations. Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity. Deep understanding of modern LLM ecosystems, agent frameworks, retrieval architectures, and enterprise AI deployment patterns. Familiarity with modern AI architectures including agentic workflows, memory systems, tool orchestration, MCP, and A2A frameworks Proven ability to lead cross-functional AI initiatives, including PoC development, stakeholder alignment, and enterprise rollout. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Senior Consultant Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You'll help design, enhance, and build our Visa data token platform within an agile development environment. You'll collaborate with colleagues who will both support and challenge you daily. You will take on leadership roles in multiple projects, building full-stack development of real-time scoring services These services are designed to be highly available, secure, scalable, and resilient. You'll also spearhead the development of next-generation software, incorporating machine learning and deep learning technologies. We believe in self-managing Agile teams that build end-to-end products, emphasizing unit testing, code reviews, and continuous integration for excellent code quality. You'll witness the code you write move to production within just a few days. This role involves driving innovation to differentiate our products from competitors and delight customers with accelerated time-to-market delivery. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role. If this sounds exciting, we'd love to chat with you further about our work culture, environment, and whether this would be a good fit for you Essential Functions: You'll be the face of the team representing us in various technical forums. You'll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value. You'll analyze business requirements and architect highly secure, robust, and scalable solutions. You'll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement. You'll champion efforts to architect, design and implement various components of our global transaction processing systems. Your DNA will include following and creating software best practices and processes. You'll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability. You'll play key role in meetings and discussions with cross-functional and non-technical teams. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. • Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models. • Expertise in developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containerized environments (Docker and Kubernates) • Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools. • Familiarity with Agile development incorporating TDD, CI/CD, and relational and non-relational databases. • Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring juniors and helping them reach new heights. • Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems. • Excellent communication and interpersonal skills, and a strong team player. Information for US Applicants For roles located in the US, the estimated salary range for this position is $153,500.00 to $ 245,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Senior Consultant Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You'll help design, enhance, and build our Visa data token platform within an agile development environment. You'll collaborate with colleagues who will both support and challenge you daily. You will take on leadership roles in multiple projects, building full-stack development of real-time scoring services These services are designed to be highly available, secure, scalable, and resilient. You'll also spearhead the development of next-generation software, incorporating machine learning and deep learning technologies. We believe in self-managing Agile teams that build end-to-end products, emphasizing unit testing, code reviews, and continuous integration for excellent code quality. You'll witness the code you write move to production within just a few days. This role involves driving innovation to differentiate our products from competitors and delight customers with accelerated time-to-market delivery. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role. If this sounds exciting, we'd love to chat with you further about our work culture, environment, and whether this would be a good fit for you Essential Functions: You'll be the face of the team representing us in various technical forums. You'll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value. You'll analyze business requirements and architect highly secure, robust, and scalable solutions. You'll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement. You'll champion efforts to architect, design and implement various components of our global transaction processing systems. Your DNA will include following and creating software best practices and processes. You'll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability. You'll play key role in meetings and discussions with cross-functional and non-technical teams. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. • Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models. • Expertise in developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containerized environments (Docker and Kubernates) • Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools. • Familiarity with Agile development incorporating TDD, CI/CD, and relational and non-relational databases. • Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring juniors and helping them reach new heights. • Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems. • Excellent communication and interpersonal skills, and a strong team player. Information for US Applicants For roles located in the US, the estimated salary range for this position is $153,500.00 to $ 245,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.