196 jobs found

Job Description Job Description Overview Ensures the efficient execution of high-quality business processes that deliver software products to the Bank s Institutional Services (IS) customers through the design, development and execution of automated test scripts. Works with cross-functional teams to identify test scenarios, implement automation frameworks, and detect and report software defects to support the software development lifecycle. Primary Responsibilities: Design, develop and maintain scalable and robust automation frameworks (UI (User Interface), API (Application Programming Interface) and performance. Define and implement the overall test automation strategy, including tooling, scripting, and architecture decisions. Evaluate, recommend and implement new testing tools and technologies; explore ways to improve testing efficiency and coverage through AI-assisted tools and practices. Collaborate with Development teams to understand system architecture and implementation; collaborate with Product Owner team by engaging in regular sprint planning and backlog grooming sessions to understand product requirements and acceptance criteria, translating them into comprehensive test automation strategies that ensure coverage of both functional and non-functional requirements. Collaborate with engineers to integrate automated tests into CI/CD (Continuous Integration/Continuous Deployment) pipelines using pertinent tools ensuring seamless and efficient test execution throughout the development life cycle. Review code and test scripts to ensure quality, scalability, and maintainability. Drive test data strategy and environment management for automation needs. Contribute to performance, security and load testing strategy and implementation. Continuously monitor and improve test automation metrics and KPIs (Key Performance Indicators). Publish automation test execution status report with traceability of test coverage at feature level and communicate it to stakeholders to ensure their awareness of progress and identify any issues upfront. Solve complex technical and operational problems. Serve as a resource for less experienced teammates. Understand and adhere to the Company s risk and regulatory standards, policies and controls in accordance with the Company s Risk Appetite. Identify risk-related issues needing escalation to management. Promote an environment that supports a culture of belonging and reflects the brand. Maintain Company's internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable. Complete other related duties as assigned. Scope of Responsibilities: Supervisory/Managerial Responsibilities: No Supervisory Responsibilities EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Job Description Job Description Job Title: Lead Institutional Services Automation Quality Control Analyst Location: Wilmington, DE Hire Type: Contingent Pay Range: $65.00/hour Work Type: Full-time Work Model: Onsite Work Schedule: Monday - Friday, 8am - 5pm Recruiter Contact: Sean Pebbles Nature & Scope: Positional Overview Imagine Staffing is recruiting for a Lead Institutional Services Automation Quality Control Analyst on behalf of our client, a leading financial institution, serving individuals, businesses, and communities across the eastern United States. Known for its strong regional presence, commitment to community engagement, and focus on long-term customer relationships, the organization offers a stable and collaborative work environment with opportunities for growth. In this role you will be responsible for ensuring the efficient execution of high-quality business processes that deliver software products to the brands Institutional Services (IS) customers through the design, development and execution of automated test scripts. Works with cross-functional teams to identify test scenarios, implement automation frameworks, and detect and report software defects to support the software development lifecycle. Role & Responsibility: Tasks That Will Lead to Your Success Design, develop and maintain scalable and robust automation frameworks (UI (User Interface), API (Application Programming Interface) and performance. Define and implement the overall test automation strategy, including tooling, scripting, and architecture decisions. Evaluate, recommend and implement new testing tools and technologies; explore ways to improve testing efficiency and coverage through AI-assisted tools and practices. Collaborate with Development teams to understand system architecture and implementation; collaborate with Product Owner team by engaging in regular sprint planning and backlog grooming sessions to understand product requirements and acceptance criteria, translating them into comprehensive test automation strategies that ensure coverage of both functional and non-functional requirements. Collaborate with engineers to integrate automated tests into CI/CD (Continuous Integration/Continuous Deployment) pipelines using pertinent tools ensuring seamless and efficient test execution throughout the development life cycle. Review code and test scripts to ensure quality, scalability, and maintainability. Drive test data strategy and environment management for automation needs. Contribute to performance, security and load testing strategy and implementation. Continuously monitor and improve test automation metrics and KPIs (Key Performance Indicators). Publish automation test execution status report with traceability of test coverage at feature level and communicate it to stakeholders to ensure their awareness of progress and identify any issues upfront. Solve complex technical and operational problems. Serve as a resource for less experienced teammates. Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management. Promote an environment that supports a culture of belonging and reflects brand. Maintain internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable. Complete other related duties as assigned. Skills & Experience Qualifications That Will Help You Thrive Test case management in Zephyr and Automation Framework Development (UI, API, Integration Testing) CI/CD, Scripting, and Test Automation Engineering Business Process Validation and Quality Assurance Analysis

Job Description Job Description Job Summary: 1. Build and ship AI agents and automation harnesses as a core deliverable - not a side experiment - using tool use/function calling, multi-turn context management, and agentic design patterns (MCP, LangChain-style frameworks) 2. Use Claude, Cursor, and Codex as your primary development environment daily - build with AI, not around it, across every layer you touch 3. Evaluate and correct non-deterministic model output as a first-class engineering discipline - know what the AI wrote, where you overrode or discarded it, and what would have shipped broken if trusted blindly 4. Take a problem from rough idea to deployed, working software with minimal handoffs - writing code, shaping UX, and wiring data pipelines yourself, accelerated by AI tooling throughout 5. Design agent skills and internal AI-assisted workflows that other engineers on the team rely on and build from 6. Move across frontend, backend, data engineering, and infra within the same sprint, using AI tools to compress the time each layer normally takes 7. Design and maintain data pipelines and analytical surfaces on Databricks and AWS that non-engineers can actually use 8. Work directly with product managers and stakeholders - push back on scope, propose better (often AI-driven) solutions, and make pragmatic trade-offs without waiting to be told 9. Own architectural decisions for your product area, including when an agent/LLM-based approach is the right call versus deterministic code 10. Leave the codebase simpler than you found it - know when to abstract, inline, or simplify rather than add 11. Deploy, debug, and operate confidently in AWS without breaking production 12. Deliver outcomes that would take a conventional team 5-10x longer - the agentic/AI-native workflow itself is the reason for that multiplier, not just raw coding speed Required Skills: - AI Tooling: Claude, Cursor, Codex; LLM APIs (Anthropic, OpenAI); prompting, tool use, agent patterns, MCP - Frontend: React, TypeScript - Backend: Python or Node.js, REST/GraphQL APIs, event-driven service design - Data Engineering Databricks: (PySpark, Delta Lake, notebooks, workflows) - Cloud/Infra: AWS (S3, Lambda, Glue, Redshift), Infrastructure-as-Code (plus) - BI/Visualization: Streamlit, Tableau, Evidence (nice to have)

Job Description Job Description Title: Quality Engineering/Test Automation Engineer Location: Vienna, VA Work schedule: hybrid, onsite 3 days a week Pay Rate: Open to Both W2 options and established 1099, no c2c Position Type: Contract LOCAL CANDIDATES ONLY This role is for a Quality Engineering/Test Automation professional with 5-10 years of experience who can design, develop, and maintain scalable automated testing solutions across web, mobile, API, CMS, and cloud-based applications. The position focuses heavily on test automation, CI/CD integration, accessibility testing, and AI-driven testing. The engineer will build automation frameworks, execute multiple types of testing, integrate testing into continuous delivery pipelines, and collaborate with engineering, product, and design teams to improve software quality. A particularly important aspect of the role is using AI-assisted testing to accelerate test creation, optimize regression testing, improve defect analysis, and generate better quality insights. This role requires a 5-10 year Quality Engineer/SDET/Test Automation professional with deep automation-framework experience, Azure DevOps/CI/CD expertise, strong accessibility testing knowledge, and broad web/mobile/API testing experience. Candidates must have experience applying AI to software testing, rather than simply having general AI knowledge. Primary Responsibilities Design and maintain automated testing frameworks and test suites. Integrate automated tests into CI/CD pipelines. Perform functional, regression, integration, accessibility, performance, and cross-browser testing. Test web, mobile, API, CMS, and enterprise applications. Apply AI-assisted testing for test generation, regression optimization, defect analysis, and reporting. Collaborate with engineering, product, and design teams. Continuously improve testing processes, tools, automation coverage, and quality practices. In this role, you will design, develop, and maintain automated testing solutions across web, mobile, API, CMS, and cloud-based platforms while partnering closely with engineering, product, and design system teams. This is an excellent opportunity for a quality engineering professional who is passionate about automation, accessibility, AI-driven testing innovation, and delivering exceptional digital experiences. The ideal candidate brings 5-10 years of experience in software quality engineering, test automation, and CI/CD practices, with a strong foundation in accessibility testing and modern engineering tools. You will play a key role in building scalable automation frameworks, improving testing processes, and integrating AI-enabled capabilities to accelerate test creation, optimize regression testing, enhance defect analysis, and improve overall quality outcomes. What You'll Do Design and maintain automated testing frameworks and test suites Integrate testing into CI/CD pipelines to support continuous delivery Execute functional, regression, integration, accessibility, performance, and cross-browser testing Collaborate with cross-functional teams to ensure high-quality releases Leverage AI-assisted testing capabilities to improve efficiency, coverage, and quality insights Drive continuous improvement of testing practices, tools, and processes What You'll Bring 5-10 years of experience in software testing, quality engineering, or test automation Strong experience with automated testing tools and frameworks Experience with Azure DevOps, Git-based repositories, CI/CD pipelines, and test management tools Knowledge of accessibility standards (WCAG, ADA, Section 508) and assistive technologies Experience testing web, mobile, API, and enterprise applications Experience incorporating AI into testing processes, including test generation, defect analysis, regression optimization, or automated reporting Strong analytical, troubleshooting, communication, and collaboration skills System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Client Name Persistent systems Ltd. Indent ID SF_OP_207643-1 PTalent Job# 184643 Position Title Automation QA Expert (AI) Location Remote Hybrid working Remote Employment Type Fulltime and C2C Visa Type Only USC or GC Rate Fulltime salary - $110,000 to $120,000 Benefits / C2C rate - $75/hr. Job Description Lead the transformation of legacy test automation frameworks into scalable, AI-enabled automation platforms leveraging modern tools, reusable components, and cloud-native architectures. Utilize Generative AI and AI-assisted engineering tools to accelerate test design, script generation, test data creation, defect analysis, and automation maintenance, improving productivity and test coverage. Design and implement intelligent test automation solutions across UI, API, data, and integration layers using contemporary automation frameworks and CI/CD pipelines. Drive automation architecture, framework governance, and best practices , ensuring maintainability, reliability, observability, and seamless integration with DevSecOps processes. Partner with development, product, and quality engineering teams to identify automation opportunities, reduce technical debt, and establish next-generation quality engineering practices that improve release velocity and software quality. Key Skills: AI-assisted testing, GenAI tools (Copilot, ChatGPT, Claude, etc.), Selenium/Playwright/Cypress, API automation, CI/CD, DevOps, Python/Java/JavaScript, test framework modernization, quality engineering transformation. All candidate submissions should come with valid documents and ID proof. Submission Matrix: Name of the candidate Contact# Email ID Location Availability Visa Rate Supplier Name Particular Details LinkedIn profile Link Ptalent Applicant id Job# Profile uploaded against which Indent:RelocationETA for relocation post pandemicEducational qualification (along with Year of passing and university details)Video / In-person interview availability (Yes/No)Currently on ProjectAny CertificationInterviewed with Persistent in past 3 months

Job Description Job Description SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. DATA CENTER OPERATIONS TECHNICIAN As a Datacenter Operations Technician at SpaceXSI, you will be responsible for the health of our server and network infrastructure for Data Centers and Global Points of Presence. You will be responsible for our two most important data center operations metrics: mean time to detect (MTTD) and mean time to repair (MTTR). You are great at following directions, are a fast learner and are super attentive to details. You are accessible via cell phone and willing to get onsite when there are emergencies as needed. You understand all aspects of the equipment you are responsible for to drive efficiencies and optimizations where necessary to simplify and improve our server intake and repair processes. RESPONSIBILITIES: Report to the job site during initial construction and report back to the engineering team as required Performing troubleshooting and monitoring of the servers and network in our data centers and global points of presence Rack and stack of data center network equipment Maintain Warehouse inventory and asset management using our internal application. Labeling and troubleshooting for fiber/optics cables Power supply cabling, installation, troubleshooting and repair Installation of racks, servers and switches; this includes staging racks in place, cabling, power up and handoff of hardware to the provisioning team for customer capacity allocation. Manage, response and resolution of data center operations tickets used cross functionally within SpaceXSI via Jira. Create and Maintain documentation of tasks and standard operating procedures Receipt and Decommissioning of data center hardware. Vendor returns for infrastructure under and out of warranty Manage spare parts inventory within the data center Define, design, and implement network layouts and solutions within our data centers BASIC QUALIFICATIONS: High school diploma or equivalency certificate 2+ years of experience working with server, storage, compute and network hardware 2+ years of experience troubleshooting and repairing servers and networking infrastructure 2+ years of experience in Inventory Management, and ordering, receiving and shipping server and network equipment PREFERRED SKILLS AND EXPERIENCE: Strong Linux skills including: navigating the system's directories and filing system, manipulating files in the Linux shell, user permission configuration, package installation and software management, ability to identify and apply different filesystem types, using Linux commands for process management, basic troubleshooting and debugging, and bash or other scripting Experience being on-call and ability to respond to critical events as needed. Experience leading data center infrastructure projects. Curious to always learn new things within the data center world Excellent prioritization and time management skills Detail-oriented and able to work in a fast-paced environment Experience with Oracle Experience with inventory management 4+ years of experience in structured cabling copper/fiber 4+ years of experience in power and cooling concepts inside the data center ADDITIONAL REQUIREMENTS: Position is subject to pre-employment drug and random drug and alcohol testing Position is subject to pre-employment and annual post employment background checks Work is often performed in tight quarters and physical dexterity is necessary to perform job functions Ability to lift up to 35 lbs unassisted Comfortable working at elevated heights (up to 50 feet) with appropriate safety gear Comfortable working in an environment requiring exposure to noise Available to work evenings and weekends, as the schedule varies depending on site operational needs; flexibility is required SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Job Description Job Description SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Datacenter Operations Technician at SpaceXSI, you will be responsible for the health of our server and network infrastructure for Data Centers and Global Points of Presence. You will be responsible for our two most important data center operations metrics: mean time to detect (MTTD) and mean time to repair (MTTR). You are great at following directions, are a fast learner and are super attentive to details. You are accessible via cell phone and willing to get onsite when there are emergencies as needed. You understand all aspects of the equipment you are responsible for to drive efficiencies and optimizations where necessary to simplify and improve our server intake and repair processes. RESPONSIBILITIES: Report to the job site during initial construction and report back to the engineering team as required. Performing troubleshooting and monitoring of the servers and network in our data centers and global points of presence Rack and stack of data center network equipment Maintain Warehouse inventory and asset management using our internal application. Labeling and troubleshooting for fiber/optics cables Power supply cabling, installation, troubleshooting and repair Installation of racks, servers and switches; this includes staging racks in place, cabling, power up and handoff of hardware to the provisioning team for customer capacity allocation. Manage, response and resolution of data center operations tickets used cross functionally within SpaceXSI via Jira. Create and Maintain documentation of tasks and standard operating procedures Receipt and Decommissioning of data center hardware. Vendor returns for infrastructure under and out of warranty Manage spare parts inventory within the data center Define, design, and implement network layouts and solutions within our data centers BASIC QUALIFICATIONS: High school diploma or equivalency certificate 2+ years of experience working with server, storage, compute and network hardware 2+ Years of experience troubleshooting and repairing servers and networking infrastructure 2+ years of experience in Inventory Management, and ordering, receiving and shipping server and network equipment Position is subject to pre-employment drug and random drug and alcohol testing Position is subject to pre-employment and annual post employment background checks Physical Requirements: Work is often performed in tight quarters and physical dexterity is necessary to perform job functions Ability to lift up to 35lbs. unassisted Comfortable working at elevated heights (up to 50 feet) with appropriate safety gear Comfortable working in an environment requiring exposure to noise Available to work evenings and weekends, as the schedule varies depending on site operational needs; flexibility is required PREFERRED SKILLS AND EXPERIENCE: Strong Linux skills including: Navigating the system's directories and filing system Manipulating files in the Linux shell User permission configuration Package installation and software management Ability to identify and apply different filesystem types Using Linux commands for process management Basic troubleshooting and debugging Bash or other scripting Experience being on-call and ability to respond to critical events as needed. Experience leading Data Center Infrastructure projects. Curious to always learn new things within the Data Center World Excellent prioritization and time management skills Able to work in a fast paced environment Detail Oriented Oracle Experience Inventory Management 4+ years of experience in Structured Cabling Copper/Fiber 4+ years of experience in Power and Cooling concepts inside the data center SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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 the most important business processes at the world's largest organizations. Our platform is known for its unique power, reliability, and scale. We've been automating processes for more than 25 years and have proven expertise in enterprise operations. For more information, visit Follow Appian: LinkedIn, YouTube, Instagram, Facebook, and X. Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details

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 Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. 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 Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems 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 AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - 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 production LLM 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 - and the AI systems built on it - 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 and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. 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). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. 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. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with 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. 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 Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. 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 $200,000-$350,000 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 the most important business processes at the world's largest organizations. Our platform is known for its unique power, reliability, and scale. We've been automating processes for more than 25 years and have proven expertise in enterprise operations. For more information, visit Follow Appian: LinkedIn, YouTube, Instagram, Facebook, and X. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come. Job Purpose and Impact The Senior Application Developer designs, builds, tests, deploys, and supports backend services and cloud-hosted application components for the DT&D ERP TRM team. The role owns complex application changes from technical refinement through production support and continuous improvement. The primary emphasis is backend and cloud engineering: developing APIs, business services, event-driven integrations, and secure cloud-native application components; automating build and deployment workflows; and operating services reliably in production. Frontend development, analytics, and data-pipeline engineering are supporting concerns rather than the core focus of the role. This is a hands-on senior individual contributor position. The developer works independently on complex assignments, makes sound code-level and component-level decisions, and collaborates with product managers, business partners, architects, security, cloud platform, and operations teams when broader alignment is required. Key Accountabilities APPLICATION CONFIGURATION MANAGEMENT: Builds complex application configurations to meet user and business requirements while identifying improvements to complex application support processes and procedures. APPLICATION DEVELOPMENT & DEPLOYMENT: Performs advanced programming, configuration, testing and deployment of fixes or updates for application version releases. USER COMMUNICATION & SUPPORT: Plays a key role and keeps an open channel of communication with users to respond to complex application support requests and needs. APPLICATION SUPPORT: Conducts complex technical application support activities to deliver on business outcomes. STAKEHOLDER MANAGEMENT: Partners with multi-functional teams, including developers, product managers and business partners to ensure configurations align with standards and project goals. INCIDENT & REQUEST MANAGEMENT: Leads prioritization of incoming incident tickets and user requests. VENDOR MANAGEMENT: Handles positive relationships with software vendors and negotiates complex contracts. Qualifications Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience. Preferred Qualifications: Experience with designing, implement, test, document, deploy, and support complex custom applications, integrations, business workflows, reporting solutions, and data products. SAP HANA, SQL and SAP HANA Cloud data modeling. Has experience with writing clean, modular, maintainable code and apply appropriate patterns for reliability, security, and supportability. Investigates and resolves defects, performance issues, and production incidents across application, integration, and data layers. Has applied and applies AI-assisted and agentic engineering tools responsibly for coding, testing, documentation, and review, with human accountability, secure handling of data and code, and established quality controls. Participates in code reviews and incorporate feedback to improve reliability and shared code quality. Delivers changes iteratively using automated testing, CI/CD, and disciplined release practices. Experience in ERP, TRM, commodity trading, risk, logistics, supply chain, or similar business domains. Experience supporting global or multi-region business operations. Equal Opportunity Employer, including Disability/Vet.

Job Description Coda Search is proud to partner with a venture-backed B2B supply chain software company on a Lead Forward Deployed Engineer hire. The role is based in downtown Chicago and is open to senior, staff, lead, or principal-level engineers in the Chicago metro area who can be on-site two days per week. Comp : Roughly between $175,000 - 200,000 (negotiable depending on experience) + bonus + meaningful equity package Benefits : Comprehensive benefits including H/V/D, 401(k), unlimited PTO & other ancillary benefits Location : Downtown Chicago, IL (Hybrid, 2 days on-site per week) What's in it for you? Build first, lead by example: You'll be the most senior engineer on the team, writing code and setting the standard the rest of the team follows. Report to the CEO: You'll help shape how the company onboards and scales its customer base. Develop a team: You'll mentor a group of forward deployed engineers who are early in their careers and ready to grow. Real product influence: Your judgment decides whether a customer request becomes configuration, a one-off extension, or a feature the whole customer base benefits from. Equity upside: A meaningful equity stake in a company growing quickly with experienced operators at the helm. What will your day look like? Lead the forward deployed team: Serve as the team's technical decision-maker, setting architecture direction, code quality standards, and technical guardrails. Mentor through real work: Raise the bar through code review, pairing, and hands-on guidance on complex customer implementations. Stay hands-on: Write backend code and build customer integrations yourself. Work directly with customers: Join onboarding calls, learn each customer's workflows and integration needs, and turn them into sound technical solutions. Make the build-or-reuse call: Decide whether a request should be configured, handled as a customer-specific extension, or recommended as a reusable product feature. Partner with implementation managers: Work alongside the people running customer projects and know when to say yes and when to push back. Work across teams: Collaborate with product, platform, integrations, AI, and implementation teams, and flag platform gaps you see in the field. Put AI to work: Use AI-assisted development tools to move faster while keeping code quality high. Who are you? You're a senior backend engineer. Your fundamentals are strong; the specific language matters less than how you build. You've grown into a technical lead or player-coach. You've been a tech lead, staff engineer, or hands-on engineering manager, and you still write code. You make architectural decisions. You're comfortable guiding less experienced engineers to sound technical choices. You're strong with customers. You communicate clearly, build relationships, and turn business requirements into practical solutions. You have a product mindset. You know when to build, when to reuse, and when to push back on a request. You work well across teams. You navigate ambiguity and get things done with people you don't manage. Bonus points for experience with forward deployed or implementation engineering, ERP integrations, EDI, or supply chain software. Application & Contact Information To apply, please apply directly here on LinkedIn. For more immediate consideration, feel free to send me an email directly to . Related Terms : Forward Deployed Engineer, Lead Forward Deployed Engineer, Forward Deployed Engineering Lead, Senior Software Engineer, Backend Engineer, Staff Engineer, Principal Engineer, Tech Lead, Player Coach, Engineering Manager, Solutions Engineer, Implementation Engineer, Integration Engineer, Customer Engineer, API Integrations, ERP Integration, EDI, Supply Chain Software, B2B SaaS, AI-Assisted Development, Chicago Engineering Jobs, Hybrid Engineering Jobs

Distinguished Engineer Please note: This position is not eligible for current or future visa sponsorship Hybrid: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Distinguished Engineer is responsible for leading the design, development, and deployment of large-scale, production-grade artificial intelligence (AI) systems and platforms that enable enterprise-wide innovation and modernization. How you will make an impact: Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic systems, large language models (LLMs), distributed systems, and event-driven architectures. Define enterprise-wide technical direction, including architecture patterns, integration standards, and reusable platform capabilities. Lead AI-driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization. Design and implement AI-enabled software development lifecycle (SDLC) practices to improve engineering velocity and quality. Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI. Partner with engineering teams and stakeholders to enable adoption of AI-assisted development and drive continuous improvement in system performance and productivity. Provide technical leadership and mentorship while influencing enterprise technology decisions through deep expertise and hands-on engineering. Minimum Requirements: Requires a bachelor's degree in information technology, Computer Science, Engineering, or a related field and a minimum of 15 years of experience in software engineering, including experience leading, designing, implementing, and operating distributed systems and large-scale architectures, or any combination of education and experience which would provide an equivalent background. Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages also required, as well as experience designing and implementing APIs, microservices, and event-driven architectures, and applying cloud, CI/CD, and DevOps practices. Preferred Skills, Capabilities, and Experiences: For this role, we're seeking a distinguished technical leader who combines enterprise-level strategic thinking, deep business understanding, and exceptional hands-on software engineering capabilities. The ideal candidate must demonstrate a proven track record of personally designing, building, and delivering production-grade solutions while influencing enterprise technology strategy, developing technical talent, and driving measurable business outcomes. AI Expertise and Strategic Thinking: Deep understanding of AI, generative AI, agentic systems, LLMs, intelligent automation, and modern data architectures. Experience designing and operating large-scale agentic or autonomous systems in production. Expertise with: Agent frameworks (LangChain, Semantic Kernel, AutoGen, etc.) Vector databases and retrieval-augmented generation (RAG) LLMOps, evaluation, and monitoring frameworks Experience with multi-agent coordination, planning, and memory architecture. Enterprise Data Architecture and Strategy: Deep expertise in cloud-native enterprise data platforms, lakehouse and analytical architectures, governed data products, data integration, interoperability, metadata management, data quality, lineage, and secure access across complex domains. Semantic, Context, and Knowledge Architecture: Hands-on experience designing semantic and context layers, business vocabularies and metrics, ontologies, knowledge graphs, entity relationships and resolution, and reusable knowledge representations that connect enterprise data to AI. Familiarity with RDF/OWL, SPARQL, SHACL, graph databases, and semantic modeling is highly valued. AI on Enterprise Data and Conversational Analytics: Experience implementing trustworthy natural-language analytics, text-to-SQL with governed semantic definitions, RAG/GraphRAG, semantic retrieval, context engineering, and AI agents that query, reason over, and act on enterprise data. Demonstrated attention to provenance, authorization, evaluation, explainability, and numerical accuracy. Healthcare Data and Decision Intelligence: Ability to apply enterprise data, semantics, analytics, ML, and AI to provider data and analytics, utilization management, prior authorization, clinical interoperability (FHIR/HL7), medical cost management, shift-left payment integrity, value-based care, employer analytics, claims, and care management. Experience connecting clinical, member, provider, benefit, contract, and policy data is especially valuable.

Job Description Job Description Black Ore is building the leading AI platform designed to accelerate financial services. The company's flagship offering, Tax Autopilot, leverages proprietary AI agents to automate tax preparation and compliance, helping CPA & tax firms overcome the talent shortage and accelerate growth for their practice. Founded in 2022, we launched with $60 million in early stage funding from some of the world's leading investors including a16z, Founders Fund, General Catalyst, Khosla Ventures, Oak HC/FT, Trust Ventures and leading tech founders/angel investors including Jason Gardner (Founder and CEO of Marqeta), Max Levchin (Founder of Paypal and Affirm), Tom Glocer (Former CEO of Thomson Reuters), Gokul Rajaram, and Mark Britto (EVP, CPO, PayPal). Our team has an incredibly ambitious vision to completely transform the way businesses and consumers interact in financial services. We're looking to hire strong team members to grow the team. Some of the traits we look for are: Owner Mentality - Desire to take initiative, identify problems, and implement solutions Mission Driven - Passion for building AI/ML solutions that reimagine how businesses and consumers operate Intellectually Curious - Excitement going deep for building detailed understanding of the function, role, customer, and problem space Team Oriented - Ability to collaborate respectfully and put the team above the self The Role Black Ore is seeking a tax engineer to join our Information Architecture team and serve as a tax domain expert for the design of AI-driven tax software. In this role, you will collaborate with CPA's, architects, engineers, and AI experts to deliver the next generation of AI-enabled innovation for financial services. This role sits at the intersection of tax practice, information architecture, and AI-enabled software design. The ideal candidate is a highly skilled tax professional with strong analytical capabilities and the ability to formalize complex tax concepts into implementation-ready software artifacts. Responsibilities Translate tax rules, regulatory guidance, and accounting concepts into structured data models, business rules, and computational logic Research complex tax and regulatory guidance from authoritative sources to define requirements, taxonomies, rule sets, and integration workflows for tax automation Explain complex tax and accounting concepts to non-CPA technical stakeholders Use AI automation tools to accelerate delivery of models and implementation artifacts Professional Qualifications CPA with minimum of 2 years of experience in public accounting or tax technology Experience supporting end-to-end tax preparation, including preparation of workpapers, review and filing of 1040, 1065, and fiduciary returns Passion for AI-driven tax workflow improvement Communication & Analytical Skills Exceptional analytical reasoning and conceptual clarity Ability to explain complex regulatory logic in structured, precise terms Ability to collaborate effectively with architects, engineers, and product stakeholders Technical Requirements Familiarity with SQL, relational databases, and structured data concepts Understanding of object-oriented design principles Ability to express business rules and validation logic using Python, JavaScript, or similar technology Experience using AI-assisted automation tools for research, execution, or workflow automation What we offer: Competitive salary and equity based compensation Best-in-Class health benefits Platinum, 100% Employer-paid medical, dental and vision insurance Health Savings Account (HSA) and Flexible Spending Account (FSA) Additional Health programs (e.g., One Medical, Talkspace, Kindbody) 401K, Roth 401k and other employer sponsored investment benefits Parental Leave Unlimited PTO Relocation support to NYC (as needed)

Job Description Description On-site in Cincinnati, OH Our client seeks a Data Engineer to design, build, and support scalable, production-ready data solutions using Snowflake, dbt, SQL, and related enterprise technologies. The role translates business problems into technical requirements and implementable solutions and contributes across discovery, design, implementation, testing, deployment, and production support. The position will help modernize financial data flows, including integrations with QRM and Oracle OFSAA/FTPCS, and will use approved AI-assisted development tools to improve delivery while independently validating generated output. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $55.00 to $60.00/hr. w2 Job Number #: JN -32 Responsibilities Partner with business and technical stakeholders to translate business problems into clearly defined technical requirements and data solutions. Analyze business processes, source data, existing system behavior, and downstream usage to identify underlying technical problems. Design, build, test, deploy, and support production data pipelines using Snowflake, dbt, SQL, and approved enterprise technologies. Refine high-level features into workable Agile stories with clear technical requirements and acceptance criteria. Participate in Agile planning, backlog refinement, estimation, design discussions, sprint execution, and retrospectives. Develop scalable and reusable data models, transformations, and integration patterns. Support analysis and modernization of legacy ETL and file-based data flows. Implement data testing, reconciliation, monitoring, alerting, and exception-handling controls. Design reliable processing to support reruns, source corrections, backfills, and recovery from production failures. Integrate data pipelines with databases, schedulers, APIs, files, and vendor applications. Use approved AI-assisted development tools for analysis, coding, testing, troubleshooting, and documentation while validating generated output. Participate in a shared production-support rotation and assist with critical data-processing incidents. Troubleshoot production issues, perform root-cause analysis, and implement sustainable corrections. Maintain technical designs, source-to-target mappings, data-flow documentation, runbooks, and troubleshooting procedures. Identify opportunities to simplify processing, automate recurring activities, and improve operational stability. Experience Requirements Hands-on experience with Snowflake, dbt, and SQL. Experience designing, implementing, and supporting production data flows. Ability to translate business problems into technical requirements and implementable solutions. Experience working through ambiguous or evolving requirements. Experience refining features into workable stories within an Agile team. Experience with data modeling, testing, reconciliation, and production troubleshooting. Understanding of reruns, backfills, failure recovery, and operational supportability. Experience with Git-based development and code-review practices. Ability to analyze and modernize complex or poorly documented data flows. Strong analytical, problem-solving, documentation, and communication skills. Ability to work independently while collaborating with business and technical partners. Willingness to participate in a shared production-support rotation. Nice to have: legacy ETL (DataStage, Informatica, or similar), Python, CI/CD, TWS or comparable scheduling, treasury or financial-risk data experience, QRM or Oracle OFSA/OFSAA/FTPCS, SaaS integrations via APIs or batch files, financial data reconciliation to general-ledger balances, modernizing legacy ETL with Snowflake and dbt. Education Bachelor's degree in Computer Science, Information Systems, Engineering, or an equivalent combination of education and experience. Typically three or more years of data-engineering, ETL/ELT, or comparable software-engineering experience. Demonstrated experience contributing to data solutions from problem definition through production implementation and support.

Job Description Job Description At VIDA, we're passionate about driving positive change in lung and respiratory care through thoughtful, innovative technology. We're committed to reshaping the way organizations and physicians approach pulmonary medicine with powerful artificial intelligence and image analysis. Our talented team works hard every day to design cutting-edge solutions that truly improve patients' lives around the world. We're a small, fast-growing company with big benefits and the kind of culture that makes you smile. All we're missing is YOU! If you're looking to make a difference and channel your expertise into meaningful work that's changing the world for the better, we want to hear from you. Role Overview VIDA is seeking a technical, systems-oriented Release Manager to lead and continuously improve how software changes move safely and efficiently from development into production across VIDA's cloud-based products and services. This role goes beyond scheduling releases or manually coordinating deployments. You own and improve the release operating model-the processes, automation, controls, telemetry, and cross-functional practices that enable engineering teams to release independently while protecting product quality, customer data, production reliability, security, and VIDA's regulatory and compliance obligations. Operating within a healthcare and life-sciences SaaS environment, this role partners closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Quality, Security, and Compliance to establish a modern, risk-based software delivery model. You will also be VIDA's voice on AI-enabled software delivery process, making sure the added velocity from AI-assisted engineering is supported by effective testing, review, traceability, security controls, observability, and production safeguards. Key Responsibilities Release Strategy and Delivery Governance Define and continuously improve VIDA's software release strategy, standards, governance model, and success measures. Evolve VIDA toward a continuous, automated, and risk-based delivery model that minimizes unnecessary manual coordination and approvals. Establish release classifications based on clinical and customer impact, data sensitivity, reversibility, and blast radius. Define proportionate controls for each level of release risk, including when changes can proceed automatically and when additional testing, review, progressive delivery, or approval is required. Establish practical emergency-change and exception processes that preserve accountability and traceability without slowing critical remediation. Use production incidents, near misses, audit findings, and delivery friction to drive continuous improvement. CI/CD, Progressive Delivery, and Production Safety Partner with Engineering, Architecture, and Cloud Operations on paved-road CI/CD - trunk-based development, small batch sizes, reusable workflows, and standard deployment patterns. Agile processes that infuse automated quality, security, compliance, and operational checks into the software delivery lifecycle. Ensure release evidence-including source traceability, peer review, testing, security validation, deployment history, approvals, and post-release results-is reliable, searchable, and audit-ready. Align the release model to support decoupling of deployment from release using feature flags, canary and staged rollouts, and blue/green deployments, so teams ship continuously while customer exposure stays under separate control. Establish measurable release-health criteria and effective pause, rollback, forward-fix, and feature-disablement practices. Work with engineering teams to ensure critical services have clear operational ownership, observability, rollback strategies, and incident-response paths. Strengthen software supply-chain controls - dependency and secrets management, artifact integrity, SBOMs, and infrastructure-as-code validation. AI-Assisted Software Engineering Help define and operationalize VIDA's standards and guardrails for responsible AI-assisted software development. Ensure AI-assisted and AI-generated code remains subject to appropriate human ownership, peer review, testing, security validation, architecture standards, traceability, and production-readiness requirements through established processes. Partner with Security, Privacy, Quality, and Compliance to establish processes that protect source code, credentials, PHI, PII, customer information, and other sensitive data when AI development tools are used. Measure the impact of AI-assisted engineering on development velocity, quality, security findings, change failure rates, rollback frequency, and production incidents. Help VIDA increase engineering productivity through AI without weakening quality, security, regulatory compliance, or accountability. Delivery Performance and Continuous Improvement Establish a balanced software-delivery scorecard covering velocity, quality, reliability, security, compliance, and customer impact. Track and improve the four DORA metrics - deployment frequency, lead time, change failure rate, and recovery time - alongside rollback rate, escaped defects, and pipeline reliability. Use delivery data to identify systemic constraints including unreliable tests, slow environments, excessive manual steps, ineffective approvals, and recurring sources of production failures. Provide engineering and executive leadership with clear visibility into software delivery health, release risk, AI-development adoption, and improvement opportunities. Lead improvement initiatives that reduce release friction while increasing engineering autonomy and production reliability. Cross-Functional Leadership Partner with Engineering leaders and technical leads to establish clear service ownership and accountability for production changes. Work with Product Management on feature rollout, customer communication, staged availability, and release readiness. Collaborate with Quality Engineering to strengthen automated testing, risk-based validation, and quality signals. Ensure software-delivery practices meet VIDA policies, customer obligations, and applicable regulatory requirements. Support customer assessments and audits by maintaining defensible release and change-management evidence. Run the release capability as a platform product - treat engineering teams as your customers, measure adoption, and never become a centralized release bottleneck. Required Qualifications 5+ years of experience in software engineering, DevOps, release engineering, SRE, platform engineering, quality engineering, or a related technical delivery discipline. 2+ years leading or materially improving release management, CI/CD, DevOps, or production-readiness practices in a SaaS or cloud environment. Strong understanding of processes behind CI/CD, Test Driven Development, and infrastructure as code. Experience with progressive delivery approaches including feature flags, staged rollouts, canary or blue/green deployment, health-based promotion, and rollback. Strong understanding of software delivery metrics, observability, incident response, and operational reliability. Demonstrated ability to design risk-based processes that improve engineering velocity while maintaining production safety. Strong systems thinking and organizational-change experience leveraging Agile delivery methodologies such as ScrumBan, Kanban, SAFe, etc. Ability to engage credibly with engineers on technical details that impact process, releases, and messaging to internal/external stakeholders. Preferred Qualifications Experience in healthcare, life sciences, medical software, clinical trials, or another regulated SaaS environment. Familiarity with frameworks or requirements such as SOC 2, ISO 27001, HIPAA, GDPR, FDA 21 CFR Part 11, GxP/GCP, NIST, or OWASP. Experience with AWS, containerized or serverless systems, infrastructure as code, and modern DevOps tooling. Experience building reusable CI/CD workflows, internal developer platforms, policy-as-code controls, or developer self-service capabilities. Familiarity with software supply-chain security, vulnerability management, SBOMs, artifact integrity, and secrets management. Experience using or governing AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Cursor, or similar technologies. Experience supporting enterprise customer security assessments, compliance reviews, or external audits. Reporting Relationship This role reports to the VP of Engineering and works closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Software Quality, Security, Privacy, Compliance, Customer Success, and Technical Support. Engineering teams and service owners retain accountability for the quality and operation of their services. The Release Manager provides the strategy, processes, standards, visibility, and oversight that enable those teams to deliver software safely and efficiently. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex . click apply for full job details

Job Description Developer Experience Lead Location: Remote (occasional travel to Washington, DC) Duration: 6-Month Contract with Extension / FTE Opportunity Clearance: Ability to Obtain High-Risk Public Trust Citizenship: U.S. Citizenship Required Position Overview We are seeking an experienced Developer Experience Lead to support an enterprise DevSecOps platform for a federal agency. This role will focus on improving developer productivity, streamlining CI/CD processes, promoting secure development practices, and driving adoption of enterprise tools across multiple development teams. Key Responsibilities Lead adoption of enterprise DevOps, source control, CI/CD, testing, and security tools. Develop reusable templates, automated workflows, and developer self-service solutions. Improve developer onboarding, documentation, and training. Partner with engineering, security, and platform teams to streamline development processes. Promote secure AI-assisted development practices. Track developer productivity and delivery metrics. Provide technical guidance, troubleshooting, and Tier 2/3 support. Required Qualifications Bachelor's degree with 12+ years or Master's degree with 10+ years of relevant experience. 5+ years of software engineering, DevOps, or platform engineering experience. Hands-on experience with GitHub, GitLab, Azure DevOps, Jenkins, or similar CI/CD tools. 3+ years of UX engineering, UX design, or interaction design experience. Experience developing reusable templates, developer tools, and technical documentation. Strong leadership, communication, mentoring, and stakeholder management skills. U.S. citizenship and ability to obtain a High-Risk Public

This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO Braze is seeking a Staff Machine Learning Engineer to join our Predictive and Generative AI (PGAI) team. The team's mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions. We run those solutions as production systems at global scale, from the distributed pipelines that train models for each customer to the high-throughput APIs that serve predictions into our messaging systems across multiple regions. You will own the platform underneath, and you will make deploying, operating, and scaling ML at Braze fast, safe, and efficient. As the Staff Engineer on the team, you will: Identify and drive the transformative initiatives that change how the team runs ML in production, whether that's replatforming our queueing and orchestration, overhauling deployment and cloud identity, or retiring a generation of infrastructure Build and ship at high velocity. Staff at Braze is a hands-on delivery role; you carry the most complex infrastructure initiatives yourself from design through production. Current examples include multi-region model serving fleets, the pipelines that keep hundreds of customer-specific models healthy, and the CI and deployment tooling that moves it all safely Own the platform's technical vision and production quality bar. Set direction for how models are trained, deployed, served, and observed; lead incident response for ML systems; and drive the reliability and cost work that keeps the platform efficient at scale Drive initiatives that span teams. Our platform builds on shared infrastructure, deployment tooling, and data systems owned with partner teams, and you carry the technical relationships with those teams Raise the team's engineering quality through design review, code review, and production readiness for ML systems, and mentor other senior engineers and data scientists Connect technical decisions to customer and business outcomes, and represent the team's technical perspective to product and engineering leadership WHO YOU ARE 8+ years building and operating distributed systems in production, with depth in deployment and operations. You have designed services for scale and reliability, owned CI/CD and infrastructure as code, and run what you built under production load Hands-on experience with ML workloads in production. Training pipelines, model serving, feature systems, or ML platform tooling all count; deep modeling experience is a plus rather than a requirement A technical leader who has owned direction for a team, led multi-quarter initiatives across team boundaries, and grown senior engineers, all while keeping a high personal output Deep working knowledge of Kubernetes and cloud infrastructure, including identity and access management, networking, and the cost profile of what you run An effective communicator, both verbal and written, whose designs and recommendations build consensus and drive forward decision making Bonus: Queueing and orchestration systems such as Celery, RabbitMQ, Kafka, or Ray ML platform tooling such as MLflow or another model registry, feature stores, or ML observability Experience in our stack (Python, Ruby on Rails, MongoDB, Redis, Kubernetes) Operating under compliance regimes such as SOX or HIPAA Customer engagement, personalization, or marketing technology domain experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,000/year, with an expected On Target Earnings (OTE) between $204,000 and $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process. . click apply for full job details

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details

This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO Braze is seeking a Staff Machine Learning Engineer to join our Predictive and Generative AI (PGAI) team. The team's mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions. We run those solutions as production systems at global scale, from the distributed pipelines that train models for each customer to the high-throughput APIs that serve predictions into our messaging systems across multiple regions. You will own the platform underneath, and you will make deploying, operating, and scaling ML at Braze fast, safe, and efficient. As the Staff Engineer on the team, you will: Identify and drive the transformative initiatives that change how the team runs ML in production, whether that's replatforming our queueing and orchestration, overhauling deployment and cloud identity, or retiring a generation of infrastructure Build and ship at high velocity. Staff at Braze is a hands-on delivery role; you carry the most complex infrastructure initiatives yourself from design through production. Current examples include multi-region model serving fleets, the pipelines that keep hundreds of customer-specific models healthy, and the CI and deployment tooling that moves it all safely Own the platform's technical vision and production quality bar. Set direction for how models are trained, deployed, served, and observed; lead incident response for ML systems; and drive the reliability and cost work that keeps the platform efficient at scale Drive initiatives that span teams. Our platform builds on shared infrastructure, deployment tooling, and data systems owned with partner teams, and you carry the technical relationships with those teams Raise the team's engineering quality through design review, code review, and production readiness for ML systems, and mentor other senior engineers and data scientists Connect technical decisions to customer and business outcomes, and represent the team's technical perspective to product and engineering leadership WHO YOU ARE 8+ years building and operating distributed systems in production, with depth in deployment and operations. You have designed services for scale and reliability, owned CI/CD and infrastructure as code, and run what you built under production load Hands-on experience with ML workloads in production. Training pipelines, model serving, feature systems, or ML platform tooling all count; deep modeling experience is a plus rather than a requirement A technical leader who has owned direction for a team, led multi-quarter initiatives across team boundaries, and grown senior engineers, all while keeping a high personal output Deep working knowledge of Kubernetes and cloud infrastructure, including identity and access management, networking, and the cost profile of what you run An effective communicator, both verbal and written, whose designs and recommendations build consensus and drive forward decision making Bonus: Queueing and orchestration systems such as Celery, RabbitMQ, Kafka, or Ray ML platform tooling such as MLflow or another model registry, feature stores, or ML observability Experience in our stack (Python, Ruby on Rails, MongoDB, Redis, Kubernetes) Operating under compliance regimes such as SOX or HIPAA Customer engagement, personalization, or marketing technology domain experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,000/year, with an expected On Target Earnings (OTE) between $204,000 and $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process. . click apply for full job details

This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Senior Software Engineer to join our Email team, which is responsible for building and maintaining the core infrastructure that delivers billions of personalized emails a month to our customers' end users as well as processing all associated reporting data. This includes a highly parallelized platform to personalize & send emails at huge scale, REST APIs to manage/track user subscriptions, web pages to allow end-users to self-manage preferences, and dashboards to configure customer email domains. As an engineer on the team, you will work with your teammates to build out new features, improve performance, and provide guidance on key architectural decisions. You will have the opportunity to tackle significant engineering challenges, such as architecting new iterations of critical components for our systems and optimizing our systems for resilience as they scale. We greatly value colleagues who help make us better engineers and are excited, in turn, to learn from us. If that's you, we'd love to hear from you! WHO YOU ARE 5+ years of full-stack development experience Experienced technical leader Strong understanding of design, data structures and algorithms A self starter with great communication and organizational skills and will have worked in a team environment before Bonus: Professional experience building software at scale Professional experience with Ruby, Go, TypeScript or JavaScript; MongoDB or Postgres; Ruby on Rails or React Experience with agile processes For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 and $232,200/year, with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process. Depending on where you are located, you may have certain rights available to you in relation to Braze's use of AI: To opt out of AI-assisted review of your application, please click the "Learn More" at the end of the application form below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application. To exercise other types of rights, such as rights to request further information about how AI is used in our recruitment process, to request a retroactive manual review of any decision made or to contest a decision, please contact us at . Please contact us at with any questions. To find out more about our hiring process, check out this page . Notice Regarding Automated Employment Decision Tool (NYC Local Law 144) Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. To opt out of AI-assisted review of your application, please click the "Learn More" button below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application. Please submit any other request to our Talent Acquisition team at promptly after applying. Summaries of the most recent bias audit results for such tools are available here . Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and . click apply for full job details