Job Description The Expertise We Need Bachelor's degree (or higher) computational field such as Computer Science, Statistics, or Applied Mathematics. Full-stack software development knowledge preferably with Java, Spring Boot, and SQL, Angular a plus. Experience with testing, including writing automated unit, integration, and end-to-end tests on both front and backend. Experience with deploying and supporting application and systems in a production environment Ability to effectively communicate with multiple stakeholders including researchers, portfolio managers, and technology partners. Favor Agile development practices that prioritize the incremental delivery of working software and respond well to change in requirement scope. Ability to accept and adapt to scope changes incorporating it seamlessly. Understanding of Fixed Income and Equity instruments, security analytics, investment workflow, alternatives, and functioning of bond markets is a significant plus. Experience with AWS cloud environment development and deployment is a plus. Kubernetes/EKS deployment and operations management exposure is a plus. Experience with Kafka is a plus Progress towards CFA program certification is a significant plus.
11/14/2026
Full time
Job Description The Expertise We Need Bachelor's degree (or higher) computational field such as Computer Science, Statistics, or Applied Mathematics. Full-stack software development knowledge preferably with Java, Spring Boot, and SQL, Angular a plus. Experience with testing, including writing automated unit, integration, and end-to-end tests on both front and backend. Experience with deploying and supporting application and systems in a production environment Ability to effectively communicate with multiple stakeholders including researchers, portfolio managers, and technology partners. Favor Agile development practices that prioritize the incremental delivery of working software and respond well to change in requirement scope. Ability to accept and adapt to scope changes incorporating it seamlessly. Understanding of Fixed Income and Equity instruments, security analytics, investment workflow, alternatives, and functioning of bond markets is a significant plus. Experience with AWS cloud environment development and deployment is a plus. Kubernetes/EKS deployment and operations management exposure is a plus. Experience with Kafka is a plus Progress towards CFA program certification is a significant plus.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
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 Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer 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 $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $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, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees 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 . click apply for full job details
11/13/2026
Full time
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 Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices Passionate about customer 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 $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $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, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees 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 . click apply for full job details
This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. You will help develop its Rust backend, creating financial technology where precision, quality and scalability matter, while working closely with engineers in Fort Lauderdale and Zurich. These 3 roles are among the first engineering roles at our new Fort Lauderdale development center, offering significant scope for ownership as the team grows. You will work directly with clients, see how your solutions are used and bring those insights back into the product. The role includes onboarding with the Zurich team, collaborative mornings and productive afternoons, with regular travel to Switzerland and occasional travel to client sites. Our stack Rust with Tokio and the AWS SDK for Rust. Serverless-first on AWS, using Lambda, DynamoDB, SQS and S3, with GitHub Actions for CI/CD. Clients integrate through our APIs and the Model Context Protocol (MCP). We do not run containers. Useful domain experience Depending on the role, relevant experience may include wealth and asset management, discretionary portfolio management, investment performance and attribution, portfolio valuation and rebalancing, benchmarks and fees, or US investment taxation, including tax lots, cost basis, holding periods, wash sales, corporate actions, withholding and tax reporting. What you'll do: Design, develop and test Rust backend services for complex financial products, with a focus on accuracy, scalability and reliability. Translate complex financial rules and mathematical concepts into precise, efficient and testable software, accounting for numerical precision and edge cases. Build scalable solutions using historized, non-relational data models and asynchronous, event-driven architectures. Contribute to technical specifications, design discussions and code reviews, using AI coding agents while maintaining rigorous review standards and accountability. Own features through the development lifecycle, from implementation and automated testing to deployment and monitoring, working alongside Platform and SRE engineers. Work directly with clients and domain specialists to analyse product questions, solve problems and bring insights back into product development. Qualifications Strong programming foundations in a statically typed language such as Rust, C++, Java, Scala, Kotlin, C#, Go or TypeScript. Master's degree or PhD in computer science, mathematics, physics or a related quantitative field. Strong modelling skills, including experience or understanding of historized data, effective dating, immutability and audit trails. Strong analytical ability and intellectual curiosity, with the ability to quickly learn new technologies and complex financial domains. Clear and confident communication skills, with the ability to explain technical concepts effectively to both technical and business audiences. Ability to work independently within a distributed team and travel to Switzerland and client sites when required. It would be a real bonus if you have: Production Rust experience, or experience with another systems/strongly typed language such as C++, Haskell, OCaml or Scala. Experience in wealth or asset management technology, including investment performance, portfolio construction/rebalancing, or tax, accounting and other rule-heavy financial software. Experience with AWS serverless and event-driven architecture, particularly Lambda, DynamoDB, SQS, S3 and API Gateway, or related distributed-systems technologies. Experience with AI-assisted engineering, client-facing product development, research or open-source software. Additional Information This role includes onboarding with the existing team in Zurich, regular travel to Switzerland and occasional travel to client sites. We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
11/13/2026
Full time
This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. You will help develop its Rust backend, creating financial technology where precision, quality and scalability matter, while working closely with engineers in Fort Lauderdale and Zurich. These 3 roles are among the first engineering roles at our new Fort Lauderdale development center, offering significant scope for ownership as the team grows. You will work directly with clients, see how your solutions are used and bring those insights back into the product. The role includes onboarding with the Zurich team, collaborative mornings and productive afternoons, with regular travel to Switzerland and occasional travel to client sites. Our stack Rust with Tokio and the AWS SDK for Rust. Serverless-first on AWS, using Lambda, DynamoDB, SQS and S3, with GitHub Actions for CI/CD. Clients integrate through our APIs and the Model Context Protocol (MCP). We do not run containers. Useful domain experience Depending on the role, relevant experience may include wealth and asset management, discretionary portfolio management, investment performance and attribution, portfolio valuation and rebalancing, benchmarks and fees, or US investment taxation, including tax lots, cost basis, holding periods, wash sales, corporate actions, withholding and tax reporting. What you'll do: Design, develop and test Rust backend services for complex financial products, with a focus on accuracy, scalability and reliability. Translate complex financial rules and mathematical concepts into precise, efficient and testable software, accounting for numerical precision and edge cases. Build scalable solutions using historized, non-relational data models and asynchronous, event-driven architectures. Contribute to technical specifications, design discussions and code reviews, using AI coding agents while maintaining rigorous review standards and accountability. Own features through the development lifecycle, from implementation and automated testing to deployment and monitoring, working alongside Platform and SRE engineers. Work directly with clients and domain specialists to analyse product questions, solve problems and bring insights back into product development. Qualifications Strong programming foundations in a statically typed language such as Rust, C++, Java, Scala, Kotlin, C#, Go or TypeScript. Master's degree or PhD in computer science, mathematics, physics or a related quantitative field. Strong modelling skills, including experience or understanding of historized data, effective dating, immutability and audit trails. Strong analytical ability and intellectual curiosity, with the ability to quickly learn new technologies and complex financial domains. Clear and confident communication skills, with the ability to explain technical concepts effectively to both technical and business audiences. Ability to work independently within a distributed team and travel to Switzerland and client sites when required. It would be a real bonus if you have: Production Rust experience, or experience with another systems/strongly typed language such as C++, Haskell, OCaml or Scala. Experience in wealth or asset management technology, including investment performance, portfolio construction/rebalancing, or tax, accounting and other rule-heavy financial software. Experience with AWS serverless and event-driven architecture, particularly Lambda, DynamoDB, SQS, S3 and API Gateway, or related distributed-systems technologies. Experience with AI-assisted engineering, client-facing product development, research or open-source software. Additional Information This role includes onboarding with the existing team in Zurich, regular travel to Switzerland and occasional travel to client sites. We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
Job Description Job Description About Company 1 Click Logistics, founded in 2018, is a third-party logistics (3PL) provider committed to delivering exceptional service in distribution, warehousing, transportation, and innovative logistics solutions. With locations in Sparks, Nevada; Sacramento, California; Dayton, Ohio; and Hagerstown, Maryland, we are strategically positioned to serve customers across the U.S. Our mission is to serve our customers, team, and community while fostering a unique, employee-centered culture. Our comprehensive services include warehousing and distribution, retail and e-commerce fulfillment, and transportation management, all designed to streamline operations and reduce costs for our customers. We also provide value-added services, such as re-packaging, labeling, and light assembly, to meet specific customer needs. Utilizing advanced technology, our web-based Warehouse Management System (WMS) and integrated Electronic Data Interchange (EDI) connect seamlessly with major retailers, ensuring transparent and efficient operations. Our ability to serve some of the world's largest retailers, including Walmart, Target, Costco, and Home Depot, reflects our commitment to quality and efficiency. At 1 Click Logistics, we prioritize our employees' well-being, fostering a supportive and inclusive work environment that empowers our team to provide the exceptional service our customers expect and contribute positively to our community. Job Summary The Software Engineer Supervisor is a pivotal leadership role within the Software Development organization, responsible not only for the architectural integrity and performance of core applications, but also for guiding the technical direction of the team. This individual plays a critical role in shaping future product capabilities, driving engineering excellence, and mentoring developers across all experience levels. This role goes beyond execution and sets the standard. This position leads the evolution of applications, champions scalable integration patterns, and ensures systems align with long term business strategy. As a key technical leader, this role influences cross departmental initiatives, elevates team performance, and proactively identifies opportunities for innovation and modernization across the platform. Duties and Responsibilities Technical Leadership & Vision: Drive the long term technical roadmap for core applications and integrations, ensuring architectural decisions support future scalability, maintainability, and business growth. Team Mentorship & Development: Provide hands on mentorship to Software Engineer I and II team members, fostering a culture of continuous learning, high quality code, and collaborative problem solving. Lead code reviews, pair programming sessions, and technical workshops. System Architecture Ownership: Lead the design, scalability planning, and modernization of enterprise applications. Ensure integrations and system logic align with strategic business objectives and emerging industry standards. Integration Strategy & Execution: Architect and oversee complex API integrations and data workflows. Conduct deep dive research into third party systems and guide the team in implementing reliable, secure, and efficient connectivity patterns. Process & Platform Optimization: Identify systemic inefficiencies and champion improvements across CI/CD pipelines, automated testing, deployment workflows, and development processes. Drive initiatives that increase team velocity and reduce operational friction. Cross Functional Leadership: Serve as the primary technical liaison for Customer Service, Operations, and other business areas. Translate high level business needs into actionable technical plans and ensure alignment across teams. Full Stack Technical Ownership: Oversee the end to end lifecycle of enterprise applications, including frontend components, backend services, and database performance optimization. Project Scoping & Delivery Leadership: Lead the breakdown of complex business initiatives into technical milestones. Provide expert level estimation, risk assessment, and delivery planning. Ensure projects are executed with clarity, accountability, and technical excellence. Future Scope & Innovation: Proactively identify emerging opportunities for platform expansion, new feature development, and architectural improvements. Drive proof of concepts, evaluate new technologies, and help shape the future of the product ecosystem. Performs other duties as assigned. Required Skills and Abilities Tech Stack: Proven experience with HTML5, CSS3, JavaScript (ES6+), and React. Backend & Logic: Experience with ColdFusion (willingness to be trained is acceptable) and MySQL. API Mastery: Deep understanding of API methodologies (REST, SOAP) and data formats (JSON, XML, CSV). Design Patterns: Knowledge of software design and architectural patterns. Tooling: Proficiency with Git and project/ticket tracking software (e.g., Jira, Azure DevOps). Cloud Awareness: Experience with cloud environments (AWS or Azure) specifically regarding application deployment. Problem Solving: Excellent analytical skills with a focus on root-cause analysis rather than just "quick fixes." Communication: Ability to explain technical concepts to non-technical stakeholders. Self-Management: Ability to prioritize tasks in an agile environment and meet tight deadlines. Education and Experience Bachelor's degree in Computer Science, Application Development, or a related field required. Minimum of 3-4 years of professional software development experience. Technical Minimums: JavaScript/React: 3-4 years. APIs/Integrations: 3-4 years. CSS/Frontend: 3-4 years. Database/Backend: 2-3 years. AWS Certified Developer Associate or similar development-centric certifications preferred. Physical Requirements Prolonged periods of sitting at a desk and working on a computer. Must be able to lift 25 pounds at times. 1 Click Logistics is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
11/13/2026
Full time
Job Description Job Description About Company 1 Click Logistics, founded in 2018, is a third-party logistics (3PL) provider committed to delivering exceptional service in distribution, warehousing, transportation, and innovative logistics solutions. With locations in Sparks, Nevada; Sacramento, California; Dayton, Ohio; and Hagerstown, Maryland, we are strategically positioned to serve customers across the U.S. Our mission is to serve our customers, team, and community while fostering a unique, employee-centered culture. Our comprehensive services include warehousing and distribution, retail and e-commerce fulfillment, and transportation management, all designed to streamline operations and reduce costs for our customers. We also provide value-added services, such as re-packaging, labeling, and light assembly, to meet specific customer needs. Utilizing advanced technology, our web-based Warehouse Management System (WMS) and integrated Electronic Data Interchange (EDI) connect seamlessly with major retailers, ensuring transparent and efficient operations. Our ability to serve some of the world's largest retailers, including Walmart, Target, Costco, and Home Depot, reflects our commitment to quality and efficiency. At 1 Click Logistics, we prioritize our employees' well-being, fostering a supportive and inclusive work environment that empowers our team to provide the exceptional service our customers expect and contribute positively to our community. Job Summary The Software Engineer Supervisor is a pivotal leadership role within the Software Development organization, responsible not only for the architectural integrity and performance of core applications, but also for guiding the technical direction of the team. This individual plays a critical role in shaping future product capabilities, driving engineering excellence, and mentoring developers across all experience levels. This role goes beyond execution and sets the standard. This position leads the evolution of applications, champions scalable integration patterns, and ensures systems align with long term business strategy. As a key technical leader, this role influences cross departmental initiatives, elevates team performance, and proactively identifies opportunities for innovation and modernization across the platform. Duties and Responsibilities Technical Leadership & Vision: Drive the long term technical roadmap for core applications and integrations, ensuring architectural decisions support future scalability, maintainability, and business growth. Team Mentorship & Development: Provide hands on mentorship to Software Engineer I and II team members, fostering a culture of continuous learning, high quality code, and collaborative problem solving. Lead code reviews, pair programming sessions, and technical workshops. System Architecture Ownership: Lead the design, scalability planning, and modernization of enterprise applications. Ensure integrations and system logic align with strategic business objectives and emerging industry standards. Integration Strategy & Execution: Architect and oversee complex API integrations and data workflows. Conduct deep dive research into third party systems and guide the team in implementing reliable, secure, and efficient connectivity patterns. Process & Platform Optimization: Identify systemic inefficiencies and champion improvements across CI/CD pipelines, automated testing, deployment workflows, and development processes. Drive initiatives that increase team velocity and reduce operational friction. Cross Functional Leadership: Serve as the primary technical liaison for Customer Service, Operations, and other business areas. Translate high level business needs into actionable technical plans and ensure alignment across teams. Full Stack Technical Ownership: Oversee the end to end lifecycle of enterprise applications, including frontend components, backend services, and database performance optimization. Project Scoping & Delivery Leadership: Lead the breakdown of complex business initiatives into technical milestones. Provide expert level estimation, risk assessment, and delivery planning. Ensure projects are executed with clarity, accountability, and technical excellence. Future Scope & Innovation: Proactively identify emerging opportunities for platform expansion, new feature development, and architectural improvements. Drive proof of concepts, evaluate new technologies, and help shape the future of the product ecosystem. Performs other duties as assigned. Required Skills and Abilities Tech Stack: Proven experience with HTML5, CSS3, JavaScript (ES6+), and React. Backend & Logic: Experience with ColdFusion (willingness to be trained is acceptable) and MySQL. API Mastery: Deep understanding of API methodologies (REST, SOAP) and data formats (JSON, XML, CSV). Design Patterns: Knowledge of software design and architectural patterns. Tooling: Proficiency with Git and project/ticket tracking software (e.g., Jira, Azure DevOps). Cloud Awareness: Experience with cloud environments (AWS or Azure) specifically regarding application deployment. Problem Solving: Excellent analytical skills with a focus on root-cause analysis rather than just "quick fixes." Communication: Ability to explain technical concepts to non-technical stakeholders. Self-Management: Ability to prioritize tasks in an agile environment and meet tight deadlines. Education and Experience Bachelor's degree in Computer Science, Application Development, or a related field required. Minimum of 3-4 years of professional software development experience. Technical Minimums: JavaScript/React: 3-4 years. APIs/Integrations: 3-4 years. CSS/Frontend: 3-4 years. Database/Backend: 2-3 years. AWS Certified Developer Associate or similar development-centric certifications preferred. Physical Requirements Prolonged periods of sitting at a desk and working on a computer. Must be able to lift 25 pounds at times. 1 Click Logistics is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
Job Description Job Description Product Software Engineer Seize the opportunity to work with a renowned leader in the healthcare sector, offering innovative solutions that make a real impact. This is your chance to be part of a dynamic team, embracing cutting-edge technology and driving forward-thinking projects. Position Type: Contract To Hire Location: 100% Remote Responsibilities Design, develop, and maintain modern web applications using ReactJS, TypeScript, and contemporary frontend frameworks. Collaborate with Product Managers, UX designers, Architects, and Engineering teams to deliver high-quality digital experiences. Develop and integrate backend services and APIs using technologies such as Python, FastAPI, Flask, or similar frameworks. Build AI-enabled user experiences and workflows by integrating Generative AI, LLMs, copilots, intelligent search, and automation capabilities into business applications. Apply an AI-first engineering mindset to identify opportunities for productivity improvement, intelligent process automation, and enhanced customer experiences. Create reusable components, design patterns, and engineering standards that improve development efficiency and maintainability. Collaborate with Data & Analytics teams to integrate insights, machine learning models, and data-driven decision-making capabilities into applications. Ensure application performance, scalability, accessibility, security, and reliability. Support CI/CD pipelines and DevOps practices to streamline deployments and improve engineering productivity. Lead technical discussions, code reviews, and architectural recommendations. Mentor junior engineers and contribute to a culture of continuous learning and innovation. Evaluate emerging technologies, AI tools, and engineering practices to recommend improvements and drive innovation. Qualifications Required 8 years of professional software engineering experience with a strong record of delivering enterprise applications. Experience working with RAG and LLM required. Experience with AI agents and workflow automation, AI Orchestrators such as Claude Cowork to accelerate SDLC required. Experience with Prompt Engineering. Deep expertise in: ReactJS TypeScript/JavaScript HTML5/CSS3 Modern frontend architecture and design patterns Experience developing backend services using: Python RESTful APIs Microservices architecture Experience integrating applications with cloud platforms such as Azure, AWS, or Google Cloud. Knowledge of CI/CD, Git, automated testing, and Agile development practices. Strong understanding of software architecture, performance optimization, and security best practices. Ability to work independently in a fast-paced, product-oriented environment. Preferred Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience. Experience with: GCP Platform GraphQL FastAPI Docker and Kubernetes Healthcare, pharma experience a plus Familiarity with observability and monitoring platforms. What is Expected of You and Others at This Level Applies advanced knowledge of software engineering, architecture, and product development principles to solve complex business challenges. Leads or contributes significantly to large-scale, cross-functional initiatives. Recommends and implements new technologies, engineering practices, and AI-enabled solutions. Independently determines technical approaches and execution plans for complex projects. Provides thought leadership in frontend engineering and modern application development. Drives continuous improvement through automation, process optimization, and emerging technology adoption. Receives guidance on strategic objectives while exercising considerable latitude in achieving results. Delivers solutions that may establish standards, patterns, and best practices across Commercial Technologies. Please note that sponsorship is not provided for this opening. Candidates must now and in the future be legally eligible to work in the US for any employer.
11/12/2026
Full time
Job Description Job Description Product Software Engineer Seize the opportunity to work with a renowned leader in the healthcare sector, offering innovative solutions that make a real impact. This is your chance to be part of a dynamic team, embracing cutting-edge technology and driving forward-thinking projects. Position Type: Contract To Hire Location: 100% Remote Responsibilities Design, develop, and maintain modern web applications using ReactJS, TypeScript, and contemporary frontend frameworks. Collaborate with Product Managers, UX designers, Architects, and Engineering teams to deliver high-quality digital experiences. Develop and integrate backend services and APIs using technologies such as Python, FastAPI, Flask, or similar frameworks. Build AI-enabled user experiences and workflows by integrating Generative AI, LLMs, copilots, intelligent search, and automation capabilities into business applications. Apply an AI-first engineering mindset to identify opportunities for productivity improvement, intelligent process automation, and enhanced customer experiences. Create reusable components, design patterns, and engineering standards that improve development efficiency and maintainability. Collaborate with Data & Analytics teams to integrate insights, machine learning models, and data-driven decision-making capabilities into applications. Ensure application performance, scalability, accessibility, security, and reliability. Support CI/CD pipelines and DevOps practices to streamline deployments and improve engineering productivity. Lead technical discussions, code reviews, and architectural recommendations. Mentor junior engineers and contribute to a culture of continuous learning and innovation. Evaluate emerging technologies, AI tools, and engineering practices to recommend improvements and drive innovation. Qualifications Required 8 years of professional software engineering experience with a strong record of delivering enterprise applications. Experience working with RAG and LLM required. Experience with AI agents and workflow automation, AI Orchestrators such as Claude Cowork to accelerate SDLC required. Experience with Prompt Engineering. Deep expertise in: ReactJS TypeScript/JavaScript HTML5/CSS3 Modern frontend architecture and design patterns Experience developing backend services using: Python RESTful APIs Microservices architecture Experience integrating applications with cloud platforms such as Azure, AWS, or Google Cloud. Knowledge of CI/CD, Git, automated testing, and Agile development practices. Strong understanding of software architecture, performance optimization, and security best practices. Ability to work independently in a fast-paced, product-oriented environment. Preferred Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience. Experience with: GCP Platform GraphQL FastAPI Docker and Kubernetes Healthcare, pharma experience a plus Familiarity with observability and monitoring platforms. What is Expected of You and Others at This Level Applies advanced knowledge of software engineering, architecture, and product development principles to solve complex business challenges. Leads or contributes significantly to large-scale, cross-functional initiatives. Recommends and implements new technologies, engineering practices, and AI-enabled solutions. Independently determines technical approaches and execution plans for complex projects. Provides thought leadership in frontend engineering and modern application development. Drives continuous improvement through automation, process optimization, and emerging technology adoption. Receives guidance on strategic objectives while exercising considerable latitude in achieving results. Delivers solutions that may establish standards, patterns, and best practices across Commercial Technologies. Please note that sponsorship is not provided for this opening. Candidates must now and in the future be legally eligible to work in the US for any employer.
Job Description Job Description Genesis10 is currently seeking a Senior Innovation Software Engineer for a Contract-to-Hire opportunity. This position can work hybrid or can work remotely in the footprint locations of Columbus, OH; Minnetonka, MN; Atlanta, GA: Dallas, TX; Detroit, MI; Chicago, IL; Charlotte, NC; Birmingham, AL; Tupelo, MS; Pittsburgh, PA; Cleveland, OH; Akron, OH and Cincinnati, OH. Compensation: $64.00 - $72.00 per hour, W2, based on qualifications + potential for bonus Position Overview: This role focuses on the high-velocity development of innovation solutions, with a strong emphasis on building and deploying AI-enabled and agentic applications within Google Cloud. The Senior Innovation Software Engineer will lead the development of applications, APIs, workflow automations, integrations, and agent-based solutions that demonstrate clear business value. This individual will partner closely across the Innovation team to develop end-to-end high-quality solutions using Vertex AI or Comparable: Vertex AI strongly preferred. Comparable experience with AWS Bedrock, Microsoft Azure AI Foundry, or Palantir AIP, Gemini, and modern agent frameworks while ensuring solutions are secure, testable, observable, and ready for broader reuse and production deployment. Key Responsibilities: Lead the development of prototypes, proof-of-concept solutions, and production-ready applications to validate new ideas and technologies, with emphasis on building working applications end-to-end Design and implement APIs, backend services, workflow automations, UI experiences, and agent-based solutions to support innovation use cases Build and deploy AI-enabled application capabilities using Google Cloud technologies, including Vertex AI or Comparable: Vertex AI strongly preferred. Comparable experience with AWS Bedrock, Microsoft Azure AI Foundry, or Palantir AIP and Gemini Design and implement agentic and multi-agent workflows using frameworks such as Google ADK, Agent Engine, LangGraph, or equivalent technologies Deploy and operate AI-enabled applications and agent services using Google Cloud deployment patterns, ideally including Cloud Run, CI/CD, environment configuration, monitoring, logging, and observability Design or integrate with AI gateways and model-proxy layers supporting model routing, authentication, access controls, guardrails, and model governance Implement grounding and Retrieval-Augmented Generation (RAG) solutions using Vertex AI Search / Discovery Engine or comparable enterprise retrieval and grounding technologies Support AI governance, including token usage, model consumption, cost management, access controls, security guardrails, and responsible model usage Experiment with, develop, and implement emerging technology solutions and translate them into working, scalable solutions Develop and maintain rapid development patterns for innovation solutions, including starter kits, reusable components, internal demos, and implementation playbooks Integrate solutions with enterprise systems as needed, including identity/access, data sources, eventing, internal services, and security controls, partnering with architecture and platform stakeholders Evaluate emerging tools and frameworks that improve engineering velocity, AI orchestration, security, reliability, and quality Operate with limited supervision, proactively defining tasks, making progress visible, and driving solutions from concept through deployment Primary Requirements: Bachelor's degree in Computer Science, Information Technology, Engineering or a related technical field 8+ years of experience in software engineering, application development, and end-to-end innovative solution delivery Demonstrated hands-on software development experience building full-stack applications end-to-end such as APIs, back-end applications, and UIs Strong hands-on Google Cloud development experience with demonstrated experience deploying applications or AI solutions within GCP Production experience implementing AI-enabled applications using Vertex AI or Comparable: Vertex AI strongly preferred. Comparable experience with AWS Bedrock, Microsoft Azure AI Foundry, or Palantir AIP and Gemini; experience should extend beyond using Gemini or other GenAI tools solely as coding assistants Hands-on experience building and deploying agentic or multi-agent solutions using frameworks such as Google ADK, Agent Engine, LangGraph, or comparable agent orchestration frameworks Strong experience integrating models and AI services into production applications in a hands-on capacity Experience deploying cloud-native applications and AI services, preferably using Google Cloud Run Comfort working in a fast-paced environment, progressing despite ambiguity and ability to independently lead development workstreams from concept to execution Clear, structured verbal and written communication skills; collaborative and proactive working style Desired Skills: Strong full-stack experience across backend applications, APIs, integrations, and functional UI development Experience designing or integrating with an AI gateway, LLM gateway, or model-proxy platform, including model routing, authentication, access controls, and guardrails Experience implementing AI safety and security controls using Model Armor or comparable technologies Experience managing token usage, model consumption, observability, and AI-related cost governance Experience implementing grounding/RAG solutions using Vertex AI Search / Discovery Engine or comparable enterprise retrieval platforms Strong hands-on development experience using modern programming languages and frameworks such as Java, Python, TypeScript/JavaScript, or similar Experience with containerization, CI/CD, cloud-native deployment patterns, and operating applications within enterprise environments Experience building automation solutions, including workflow engines, scripting, web automation, and system-to-system integrations Experience deploying applications within regulated or highly controlled environments, including exposure to VPC Service Controls (VPC-SC), private networking, DLP, secure coding practices, and application security Experience with AWS Bedrock, Azure OpenAI, or comparable AI platforms is beneficial when combined with demonstrated hands-on Google Cloud AI deployment experience Proven track record of delivering innovative solutions using emerging technologies, with focus on rapid experimentation, production implementation, and measurable outcomes If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/12/2026
Full time
Job Description Job Description Genesis10 is currently seeking a Senior Innovation Software Engineer for a Contract-to-Hire opportunity. This position can work hybrid or can work remotely in the footprint locations of Columbus, OH; Minnetonka, MN; Atlanta, GA: Dallas, TX; Detroit, MI; Chicago, IL; Charlotte, NC; Birmingham, AL; Tupelo, MS; Pittsburgh, PA; Cleveland, OH; Akron, OH and Cincinnati, OH. Compensation: $64.00 - $72.00 per hour, W2, based on qualifications + potential for bonus Position Overview: This role focuses on the high-velocity development of innovation solutions, with a strong emphasis on building and deploying AI-enabled and agentic applications within Google Cloud. The Senior Innovation Software Engineer will lead the development of applications, APIs, workflow automations, integrations, and agent-based solutions that demonstrate clear business value. This individual will partner closely across the Innovation team to develop end-to-end high-quality solutions using Vertex AI or Comparable: Vertex AI strongly preferred. Comparable experience with AWS Bedrock, Microsoft Azure AI Foundry, or Palantir AIP, Gemini, and modern agent frameworks while ensuring solutions are secure, testable, observable, and ready for broader reuse and production deployment. Key Responsibilities: Lead the development of prototypes, proof-of-concept solutions, and production-ready applications to validate new ideas and technologies, with emphasis on building working applications end-to-end Design and implement APIs, backend services, workflow automations, UI experiences, and agent-based solutions to support innovation use cases Build and deploy AI-enabled application capabilities using Google Cloud technologies, including Vertex AI or Comparable: Vertex AI strongly preferred. Comparable experience with AWS Bedrock, Microsoft Azure AI Foundry, or Palantir AIP and Gemini Design and implement agentic and multi-agent workflows using frameworks such as Google ADK, Agent Engine, LangGraph, or equivalent technologies Deploy and operate AI-enabled applications and agent services using Google Cloud deployment patterns, ideally including Cloud Run, CI/CD, environment configuration, monitoring, logging, and observability Design or integrate with AI gateways and model-proxy layers supporting model routing, authentication, access controls, guardrails, and model governance Implement grounding and Retrieval-Augmented Generation (RAG) solutions using Vertex AI Search / Discovery Engine or comparable enterprise retrieval and grounding technologies Support AI governance, including token usage, model consumption, cost management, access controls, security guardrails, and responsible model usage Experiment with, develop, and implement emerging technology solutions and translate them into working, scalable solutions Develop and maintain rapid development patterns for innovation solutions, including starter kits, reusable components, internal demos, and implementation playbooks Integrate solutions with enterprise systems as needed, including identity/access, data sources, eventing, internal services, and security controls, partnering with architecture and platform stakeholders Evaluate emerging tools and frameworks that improve engineering velocity, AI orchestration, security, reliability, and quality Operate with limited supervision, proactively defining tasks, making progress visible, and driving solutions from concept through deployment Primary Requirements: Bachelor's degree in Computer Science, Information Technology, Engineering or a related technical field 8+ years of experience in software engineering, application development, and end-to-end innovative solution delivery Demonstrated hands-on software development experience building full-stack applications end-to-end such as APIs, back-end applications, and UIs Strong hands-on Google Cloud development experience with demonstrated experience deploying applications or AI solutions within GCP Production experience implementing AI-enabled applications using Vertex AI or Comparable: Vertex AI strongly preferred. Comparable experience with AWS Bedrock, Microsoft Azure AI Foundry, or Palantir AIP and Gemini; experience should extend beyond using Gemini or other GenAI tools solely as coding assistants Hands-on experience building and deploying agentic or multi-agent solutions using frameworks such as Google ADK, Agent Engine, LangGraph, or comparable agent orchestration frameworks Strong experience integrating models and AI services into production applications in a hands-on capacity Experience deploying cloud-native applications and AI services, preferably using Google Cloud Run Comfort working in a fast-paced environment, progressing despite ambiguity and ability to independently lead development workstreams from concept to execution Clear, structured verbal and written communication skills; collaborative and proactive working style Desired Skills: Strong full-stack experience across backend applications, APIs, integrations, and functional UI development Experience designing or integrating with an AI gateway, LLM gateway, or model-proxy platform, including model routing, authentication, access controls, and guardrails Experience implementing AI safety and security controls using Model Armor or comparable technologies Experience managing token usage, model consumption, observability, and AI-related cost governance Experience implementing grounding/RAG solutions using Vertex AI Search / Discovery Engine or comparable enterprise retrieval platforms Strong hands-on development experience using modern programming languages and frameworks such as Java, Python, TypeScript/JavaScript, or similar Experience with containerization, CI/CD, cloud-native deployment patterns, and operating applications within enterprise environments Experience building automation solutions, including workflow engines, scripting, web automation, and system-to-system integrations Experience deploying applications within regulated or highly controlled environments, including exposure to VPC Service Controls (VPC-SC), private networking, DLP, secure coding practices, and application security Experience with AWS Bedrock, Azure OpenAI, or comparable AI platforms is beneficial when combined with demonstrated hands-on Google Cloud AI deployment experience Proven track record of delivering innovative solutions using emerging technologies, with focus on rapid experimentation, production implementation, and measurable outcomes If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/12/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Job Description Job Description About is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, and Fanatics - rely on to power more than 350,000 partnerships that deliver measurable business results. Your Role at : We are growing our Tracking team and hiring experienced Java engineers who enjoy delivering products that operate at meaningful scale. You will build and evolve the services, APIs, and data workflows behind products used by many of the world's best-known brands. This is one flexible senior-level opportunity. We are looking for strong product-delivery engineers and will assess each candidate's technical depth, experience, and best placement on the team during the hiring process. Depending on your strengths, you may contribute through hands-on feature and service delivery, technical leadership, or broader architectural ownership. Candidates who can participate in a hybrid work model with at least two in-office days per week are highly preferred. What You'll Do: Own features from concept to production. Design, build, and evolve Java services, modules, and internal APIs that support high-volume tracking, data, and commerce workflows. Make sound technical decisions across service boundaries, relational data, asynchronous processing, reliability, and operational performance. Improve the deployment, observability, scalability, and maintainability of our applications and services. Investigate and resolve production issues before they spoil your weekend. Integrate with external APIs and build clear, reliable interfaces for internal consumers. Share technical judgment with the team through design discussions, code review, mentoring, and practical engineering leadership. Be part of a continuously improving, agile team. What You'll Bring: Demonstrated experience delivering production software, learning quickly, and working closely with Product to ship customer-focused features. Professional Java and Spring Framework development experience, with the ability to design, implement, test, and operate backend services. Comfortable in the Linux terminal, using command-line to troubleshoot systems. Fluency with relational databases and experience modeling, querying, and evolving production data. Experience building applications on public cloud platforms and working with cloud-native or serverless technologies. Experience with asynchronous or event-driven systems, such as Kafka or comparable message buses. Experience working with distributed systems, including the practical trade-offs around reliability, performance, and service integration. Working familiarity with JavaScript and browser-to-backend web requests. Clear communication and collaborative problem-solving skills, with a record of helping teams deliver high-quality software. Nice To Have: Production experience in e-commerce, including high-transaction or high-throughput purchasing, catalog, checkout, payments, or partner-commerce systems. Production experience in Generative Engine Optimization (GEO), AI-search, or search infrastructure, such as retrieval, indexing, ingestion, semantic or vector search, or high-throughput query systems. JVM performance investigation and tuning, concurrency, request batching, or latency-sensitive distributed-service design. Experience with Google Cloud Platform (GCP) and its tool suite. Experience using AI-assisted development tools, such as Claude Code, thoughtfully and effectively. Affiliate & Partnerships Industry Fundamentals Certification by PXA. Salary Range: $140,000 - $200,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At , we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. Medical, Dental, and Vision insurance Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled Flexible spending accounts and 401(k) Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life. Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health. A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval. Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses. Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver. Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.
11/12/2026
Full time
Job Description Job Description About is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, and Fanatics - rely on to power more than 350,000 partnerships that deliver measurable business results. Your Role at : We are growing our Tracking team and hiring experienced Java engineers who enjoy delivering products that operate at meaningful scale. You will build and evolve the services, APIs, and data workflows behind products used by many of the world's best-known brands. This is one flexible senior-level opportunity. We are looking for strong product-delivery engineers and will assess each candidate's technical depth, experience, and best placement on the team during the hiring process. Depending on your strengths, you may contribute through hands-on feature and service delivery, technical leadership, or broader architectural ownership. Candidates who can participate in a hybrid work model with at least two in-office days per week are highly preferred. What You'll Do: Own features from concept to production. Design, build, and evolve Java services, modules, and internal APIs that support high-volume tracking, data, and commerce workflows. Make sound technical decisions across service boundaries, relational data, asynchronous processing, reliability, and operational performance. Improve the deployment, observability, scalability, and maintainability of our applications and services. Investigate and resolve production issues before they spoil your weekend. Integrate with external APIs and build clear, reliable interfaces for internal consumers. Share technical judgment with the team through design discussions, code review, mentoring, and practical engineering leadership. Be part of a continuously improving, agile team. What You'll Bring: Demonstrated experience delivering production software, learning quickly, and working closely with Product to ship customer-focused features. Professional Java and Spring Framework development experience, with the ability to design, implement, test, and operate backend services. Comfortable in the Linux terminal, using command-line to troubleshoot systems. Fluency with relational databases and experience modeling, querying, and evolving production data. Experience building applications on public cloud platforms and working with cloud-native or serverless technologies. Experience with asynchronous or event-driven systems, such as Kafka or comparable message buses. Experience working with distributed systems, including the practical trade-offs around reliability, performance, and service integration. Working familiarity with JavaScript and browser-to-backend web requests. Clear communication and collaborative problem-solving skills, with a record of helping teams deliver high-quality software. Nice To Have: Production experience in e-commerce, including high-transaction or high-throughput purchasing, catalog, checkout, payments, or partner-commerce systems. Production experience in Generative Engine Optimization (GEO), AI-search, or search infrastructure, such as retrieval, indexing, ingestion, semantic or vector search, or high-throughput query systems. JVM performance investigation and tuning, concurrency, request batching, or latency-sensitive distributed-service design. Experience with Google Cloud Platform (GCP) and its tool suite. Experience using AI-assisted development tools, such as Claude Code, thoughtfully and effectively. Affiliate & Partnerships Industry Fundamentals Certification by PXA. Salary Range: $140,000 - $200,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At , we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. Medical, Dental, and Vision insurance Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled Flexible spending accounts and 401(k) Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life. Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health. A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval. Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses. Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver. Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.
Job Description Job Description SQA (Software Quality Assurance) Lead QUALITY ENGINEERING FULL-TIME ON-SITE - SANTA CLARA, CA We are looking for a hands-on SQA (Software Quality Assurance) Lead to anchor quality across the SiFly Aviation software stack and grow quality engineering into a first-class discipline as we scale toward production flight. This is a senior, deeply technical role: you will set the testing strategy, build the automation and end-to-end suites that gate our releases, and mentor a small, growing QA team spanning Turkey and Santa Clara - while staying close enough to the code and the aircraft to write and debug tests yourself. About SiFly Aviation At SiFly, we're building a new category of aircraft: vertical-takeoff, long-endurance drones that deliver helicopter-level performance at drone economics. After thousands of flight tests and years of engineering, our NDAA-compliant platform flies more than 2 hours in hover or 3 hours in forward flight on a single charge - matching the capability of traditional helicopters at a fraction of their cost and operational burden. We merge aerial robotics, perception, and onboard intelligence to cut complexity and minimize human intervention, and our unique approach to communications and networking unlocks remote operations from day one. It's an ambitious mission, and we're a small team that moves fast. The Role You will own how SiFly Aviation decides a build is ready to fly. Today one QA engineer covers end-to-end system testing; you will take that foundation and turn it into a coherent quality practice - a shared definition of "release-ready," automated regression that runs on every change, and a simulation-and-bench workflow that lets any engineer trust a green result. You will do this primarily as a builder: designing and writing tests, standing up the infrastructure that runs them, and triaging the failures - while setting the standards and mentoring the engineers who join you. The team is intentionally split by strength: one engineer focused on QA test-automation development and another on manual, end-to-end test execution, across Turkey and Santa Clara. You will shape how those roles work together, review their test plans, and grow the group into an organization that scales with the product. What You'll Do Own the QA strategy end-to-end. Define what "release-ready" means for the Q12, set pass/fail criteria and release gates, and make quality a measurable, non-negotiable part of the development and release workflow rather than a step at the end. Build the automated regression suites. Design and write automated tests covering flight software, autonomy features, MAVLink interfaces, camera and video pipelines (H.264/HEVC, WHIP/WHEP), the detect-and-avoid stack, telemetry, and operator workflows - and keep them fast and trustworthy enough to run on every change. Make simulation and bench testing first-class. Own the SITL/HITL test workflow and keep it faithful to real aircraft behavior; build scenario-based tests for takeoff and landing, mission execution, failsafes, detect-and-avoid, GPS degradation, sensor noise, comms delays, and the long tail of edge cases. Stand up the test infrastructure. Wire QA into CI so tests trigger automatically, run nightly and batch validation jobs, and deploy simulator and test instances locally and on remote servers so any engineer can run a meaningful test without booking aircraft time. Validate the full connected system. Test multi-link connectivity and failover (5G, Wi-Fi 6, Wi-Fi HaLow), OTA update and rollback via Mender, cloud/backend integration over MQTT and REST, and the Pilot, Crew, HQ, and Mobile apps against the embedded platform. Close the loop between real flights and the lab. Capture and organize logs, MAVLink and telemetry, video, and perception outputs; reproduce bugs seen in real flights as automated regression tests; and quantify where simulation diverges from reality in dynamics, sensors, timing, and control response. Make results legible. Build dashboards, log summaries, failure artifacts, and reports so a release lead can trust a green build - and so failures route quickly to the right owner. Lead and grow the team. Mentor the automation- and manual-focused QA engineers across Turkey and Santa Clara, review their test plans, set standards and coding practices for the group, and help hire as the QA organization expands. Partner across engineering. Work closely with flight software, embedded platform, autonomy, perception, and applications teams so QA is part of everyday development, not a downstream gate. Required Experience Minimum 5+ years of professional experience in software quality assurance, test engineering, or a closely related field. A bachelor's degree or higher in a related program - Electrical Engineering, Computer Engineering, Computer Science, or similar. Senior QA / test engineering experience, with a track record of building automated test systems, CI pipelines, or QA infrastructure for complex software - and setting the practices around them. Strong Python for test automation, log analysis, orchestration, and tooling. Comfortable owning quality across a distributed system: debugging across processes, containers, networks, and hardware/software boundaries on Linux. Hands-on experience with MAVLink, ROS, or comparable autopilot/robotics stacks - or the ability to demonstrate you can get there quickly. Direct experience with SITL, HITL, hardware-in-the-loop, or hardware/software integration testing of robotic or embedded systems. Experience mentoring engineers, reviewing test plans, or otherwise leading quality work - formally or informally - for a team. Working knowledge of aircraft, robotics, or embedded behavior - sensors, control loops, coordinate frames, and timing/synchronization - enough to know when a test result is suspicious. Comfortable deploying and operating test services on remote machines and servers. Advanced English language skills and strong written and verbal communication - able to coordinate clearly across a distributed team in Turkey and Santa Clara. Nice to Have Isaac Sim, Gazebo, AirSim, or game-engine-based simulators. Camera simulation, RTSP/GStreamer or WebRTC video testing. Docker and cloud-based CI/CD. OTA testing (Mender) and Yocto/embedded Linux. XRCE-DDS or DDS-based robotics middleware. Prior sim-to-real correlation work. QA dashboards, log viewers, or failure-triage tooling. Familiarity with UAV regulatory context (Remote ID, ADS-B). Experience standing up or leading a QA function from an early stage. A valid SHGM (Turkish DGCA) remote-pilot licence for the Q12's İHA weight class - İHA1 (4-25 kg) or İHA2 (25-150 kg) depending on take-off weight - ideally with beyond-visual-line-of-sight (BVLOS) operational authorization. What Success Looks Like SiFly has a real QA organization with clear ownership - and a shared, trusted definition of what "ready to fly" means. Simulation and end-to-end tests gate every release, not just nightly, and any engineer can spin up a representative test locally or remotely in minutes. Field bugs land in the regression suite within days, not quarters, and stay fixed. Detect-and-avoid scenarios, camera and video workflows, connectivity failover, OTA updates, and operator actions are exercised safely and repeatably before any real flight. Flight logs, telemetry, video, and simulation outputs are stored, searchable, and replayable from one place. The QA engineers you lead are growing, unblocked, and trusted by the rest of engineering - and the team treats quality as something they rely on, not a demo. Compensation & Logistics Gross salary range: $160K-$180K. Salaries are paid in USD. Job type: Remote contract-based employment. Location: On-site position in Santa Clara, CA - working closely with our Europe team.
11/12/2026
Full time
Job Description Job Description SQA (Software Quality Assurance) Lead QUALITY ENGINEERING FULL-TIME ON-SITE - SANTA CLARA, CA We are looking for a hands-on SQA (Software Quality Assurance) Lead to anchor quality across the SiFly Aviation software stack and grow quality engineering into a first-class discipline as we scale toward production flight. This is a senior, deeply technical role: you will set the testing strategy, build the automation and end-to-end suites that gate our releases, and mentor a small, growing QA team spanning Turkey and Santa Clara - while staying close enough to the code and the aircraft to write and debug tests yourself. About SiFly Aviation At SiFly, we're building a new category of aircraft: vertical-takeoff, long-endurance drones that deliver helicopter-level performance at drone economics. After thousands of flight tests and years of engineering, our NDAA-compliant platform flies more than 2 hours in hover or 3 hours in forward flight on a single charge - matching the capability of traditional helicopters at a fraction of their cost and operational burden. We merge aerial robotics, perception, and onboard intelligence to cut complexity and minimize human intervention, and our unique approach to communications and networking unlocks remote operations from day one. It's an ambitious mission, and we're a small team that moves fast. The Role You will own how SiFly Aviation decides a build is ready to fly. Today one QA engineer covers end-to-end system testing; you will take that foundation and turn it into a coherent quality practice - a shared definition of "release-ready," automated regression that runs on every change, and a simulation-and-bench workflow that lets any engineer trust a green result. You will do this primarily as a builder: designing and writing tests, standing up the infrastructure that runs them, and triaging the failures - while setting the standards and mentoring the engineers who join you. The team is intentionally split by strength: one engineer focused on QA test-automation development and another on manual, end-to-end test execution, across Turkey and Santa Clara. You will shape how those roles work together, review their test plans, and grow the group into an organization that scales with the product. What You'll Do Own the QA strategy end-to-end. Define what "release-ready" means for the Q12, set pass/fail criteria and release gates, and make quality a measurable, non-negotiable part of the development and release workflow rather than a step at the end. Build the automated regression suites. Design and write automated tests covering flight software, autonomy features, MAVLink interfaces, camera and video pipelines (H.264/HEVC, WHIP/WHEP), the detect-and-avoid stack, telemetry, and operator workflows - and keep them fast and trustworthy enough to run on every change. Make simulation and bench testing first-class. Own the SITL/HITL test workflow and keep it faithful to real aircraft behavior; build scenario-based tests for takeoff and landing, mission execution, failsafes, detect-and-avoid, GPS degradation, sensor noise, comms delays, and the long tail of edge cases. Stand up the test infrastructure. Wire QA into CI so tests trigger automatically, run nightly and batch validation jobs, and deploy simulator and test instances locally and on remote servers so any engineer can run a meaningful test without booking aircraft time. Validate the full connected system. Test multi-link connectivity and failover (5G, Wi-Fi 6, Wi-Fi HaLow), OTA update and rollback via Mender, cloud/backend integration over MQTT and REST, and the Pilot, Crew, HQ, and Mobile apps against the embedded platform. Close the loop between real flights and the lab. Capture and organize logs, MAVLink and telemetry, video, and perception outputs; reproduce bugs seen in real flights as automated regression tests; and quantify where simulation diverges from reality in dynamics, sensors, timing, and control response. Make results legible. Build dashboards, log summaries, failure artifacts, and reports so a release lead can trust a green build - and so failures route quickly to the right owner. Lead and grow the team. Mentor the automation- and manual-focused QA engineers across Turkey and Santa Clara, review their test plans, set standards and coding practices for the group, and help hire as the QA organization expands. Partner across engineering. Work closely with flight software, embedded platform, autonomy, perception, and applications teams so QA is part of everyday development, not a downstream gate. Required Experience Minimum 5+ years of professional experience in software quality assurance, test engineering, or a closely related field. A bachelor's degree or higher in a related program - Electrical Engineering, Computer Engineering, Computer Science, or similar. Senior QA / test engineering experience, with a track record of building automated test systems, CI pipelines, or QA infrastructure for complex software - and setting the practices around them. Strong Python for test automation, log analysis, orchestration, and tooling. Comfortable owning quality across a distributed system: debugging across processes, containers, networks, and hardware/software boundaries on Linux. Hands-on experience with MAVLink, ROS, or comparable autopilot/robotics stacks - or the ability to demonstrate you can get there quickly. Direct experience with SITL, HITL, hardware-in-the-loop, or hardware/software integration testing of robotic or embedded systems. Experience mentoring engineers, reviewing test plans, or otherwise leading quality work - formally or informally - for a team. Working knowledge of aircraft, robotics, or embedded behavior - sensors, control loops, coordinate frames, and timing/synchronization - enough to know when a test result is suspicious. Comfortable deploying and operating test services on remote machines and servers. Advanced English language skills and strong written and verbal communication - able to coordinate clearly across a distributed team in Turkey and Santa Clara. Nice to Have Isaac Sim, Gazebo, AirSim, or game-engine-based simulators. Camera simulation, RTSP/GStreamer or WebRTC video testing. Docker and cloud-based CI/CD. OTA testing (Mender) and Yocto/embedded Linux. XRCE-DDS or DDS-based robotics middleware. Prior sim-to-real correlation work. QA dashboards, log viewers, or failure-triage tooling. Familiarity with UAV regulatory context (Remote ID, ADS-B). Experience standing up or leading a QA function from an early stage. A valid SHGM (Turkish DGCA) remote-pilot licence for the Q12's İHA weight class - İHA1 (4-25 kg) or İHA2 (25-150 kg) depending on take-off weight - ideally with beyond-visual-line-of-sight (BVLOS) operational authorization. What Success Looks Like SiFly has a real QA organization with clear ownership - and a shared, trusted definition of what "ready to fly" means. Simulation and end-to-end tests gate every release, not just nightly, and any engineer can spin up a representative test locally or remotely in minutes. Field bugs land in the regression suite within days, not quarters, and stay fixed. Detect-and-avoid scenarios, camera and video workflows, connectivity failover, OTA updates, and operator actions are exercised safely and repeatably before any real flight. Flight logs, telemetry, video, and simulation outputs are stored, searchable, and replayable from one place. The QA engineers you lead are growing, unblocked, and trusted by the rest of engineering - and the team treats quality as something they rely on, not a demo. Compensation & Logistics Gross salary range: $160K-$180K. Salaries are paid in USD. Job type: Remote contract-based employment. Location: On-site position in Santa Clara, CA - working closely with our Europe team.
This job is with Morningstar, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Credit Technology, Senior Software Engineer - Chicago The Team Morningstar DBRS is a Nationally Recognized Statistical Ratings Organization (NRSRO) that has earned a reputation for innovation and excellence in the financial market. This group aims to increase market transparency and provides the highest quality ratings through securities research, monitoring services, data, and technology solutions. We are seeking a highly motivated individual to join our Credit Technology group as a Senior Software Engineer in Chicago. Technology drives our business. Our team is made up of talented software engineers, infrastructure engineers, leaders and UX professionals. We care about technology as a craft and a differentiator. The Role We are seeking a Senior JavaScript Software Engineer with full-stack experience. The position includes the development of new systems and maintenance and improvement of existing applications. Candidates should have solid software engineering experience in building commercial-grade Web-based applications. You will work with other engineers to develop APIs and modernize the platform to build leading product experiences. A successful candidate will be able to play an active role in managing the prioritization of work in order to meet project goals. This position is based in our Chicago office. Responsibilities Develop backend API's using node.js framework. Develop single page app and responsive UI using client-side frameworks such as Angular.js or vue.js. Create cascading style sheets (CSS) that are consistent across all browsers and platforms. Use an Agile approach to iteratively maintain and develop new functionality. Stay up-to-date on emerging technologies. Promote usability best practices. Requirements A bachelor's degree in computer science, mathematics, or other related fields. 5-7 years of development experience with HTML5, JavaScript and CSS3. 3-5 years of experience with SPA client-side frameworks such as Angular.js or Vue.js. 3-5 years experience with server-side technologies such as Node.JS, or Java. Proven knowledge of enterprise software concerns such as security, scalability, transaction management, and concurrency. Familiarity with design patterns like MVC and MVVM required. Experience working in Scrum-based methodologies is a plus. Experience working with SASS, and build process management tools like Grunt or Gulp. Highly motivated individual with the potential and desire to learn new technologies and take on an increasing level of responsibility within the technology team. The ability to work independently communicates effectively and produces superior results. Experience within the financial services industry is desirable. If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentially to our Compliance team. These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker. Compensation and Benefits At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide: Financial Health 100% 401k match up to 6% of salary Stock Ownership Potential Company provided life insurance - 1x salary + commission Physical Health Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages Additional medical Wellness Incentives - up to $300-$600 annual Company-provided long- and short-term disability insurance Emotional Health Trust-Based Time Off 6-week Paid Sabbatical Program 6-Week Paid Family Caregiving Leave Competitive 8-24 Week Paid Parental Leave Adoption Assistance Leadership Coaching & Formal Mentorship Opportunities Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses Tuition Reimbursement Social Health Charitable Matching Gifts program Dollars for Doers volunteer program Paid volunteering days 15+ Employee Resource & Affinity Groups Total Cash Compensation Range $117 350.00 Inclusive of annual base salary and target incentive Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. R06_DBRSInc DBRS, Inc. - US Legal Entity
11/10/2026
Full time
This job is with Morningstar, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Credit Technology, Senior Software Engineer - Chicago The Team Morningstar DBRS is a Nationally Recognized Statistical Ratings Organization (NRSRO) that has earned a reputation for innovation and excellence in the financial market. This group aims to increase market transparency and provides the highest quality ratings through securities research, monitoring services, data, and technology solutions. We are seeking a highly motivated individual to join our Credit Technology group as a Senior Software Engineer in Chicago. Technology drives our business. Our team is made up of talented software engineers, infrastructure engineers, leaders and UX professionals. We care about technology as a craft and a differentiator. The Role We are seeking a Senior JavaScript Software Engineer with full-stack experience. The position includes the development of new systems and maintenance and improvement of existing applications. Candidates should have solid software engineering experience in building commercial-grade Web-based applications. You will work with other engineers to develop APIs and modernize the platform to build leading product experiences. A successful candidate will be able to play an active role in managing the prioritization of work in order to meet project goals. This position is based in our Chicago office. Responsibilities Develop backend API's using node.js framework. Develop single page app and responsive UI using client-side frameworks such as Angular.js or vue.js. Create cascading style sheets (CSS) that are consistent across all browsers and platforms. Use an Agile approach to iteratively maintain and develop new functionality. Stay up-to-date on emerging technologies. Promote usability best practices. Requirements A bachelor's degree in computer science, mathematics, or other related fields. 5-7 years of development experience with HTML5, JavaScript and CSS3. 3-5 years of experience with SPA client-side frameworks such as Angular.js or Vue.js. 3-5 years experience with server-side technologies such as Node.JS, or Java. Proven knowledge of enterprise software concerns such as security, scalability, transaction management, and concurrency. Familiarity with design patterns like MVC and MVVM required. Experience working in Scrum-based methodologies is a plus. Experience working with SASS, and build process management tools like Grunt or Gulp. Highly motivated individual with the potential and desire to learn new technologies and take on an increasing level of responsibility within the technology team. The ability to work independently communicates effectively and produces superior results. Experience within the financial services industry is desirable. If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentially to our Compliance team. These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker. Compensation and Benefits At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide: Financial Health 100% 401k match up to 6% of salary Stock Ownership Potential Company provided life insurance - 1x salary + commission Physical Health Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages Additional medical Wellness Incentives - up to $300-$600 annual Company-provided long- and short-term disability insurance Emotional Health Trust-Based Time Off 6-week Paid Sabbatical Program 6-Week Paid Family Caregiving Leave Competitive 8-24 Week Paid Parental Leave Adoption Assistance Leadership Coaching & Formal Mentorship Opportunities Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses Tuition Reimbursement Social Health Charitable Matching Gifts program Dollars for Doers volunteer program Paid volunteering days 15+ Employee Resource & Affinity Groups Total Cash Compensation Range $117 350.00 Inclusive of annual base salary and target incentive Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. R06_DBRSInc DBRS, Inc. - US Legal Entity
Sittercity, a leading online marketplace for trusted childcare, is seeking a software engineer to help power our sitter-family matching platform. In this role, you'll build secure, scalable web and mobile features that make it easier for parents to find safe, reliable care. You'll collaborate with product, design, and data teams in an agile environment, focusing on usability, performance, and safety. Join a collaborative, mission-driven culture where your work directly supports families, caregivers, and the future of tech-enabled childcare. Responsibilities Design, develop, and maintain Sittercity's web and mobile platforms that connect families with sitters and nannies Implement secure, scalable code to protect user data and support safe caregiver-family matching Collaborate with product, design, and data teams to build features that improve search, screening, and booking workflows Integrate third-party APIs and internal services to streamline payments, messaging, and background check processes Monitor performance, troubleshoot production issues, and optimize the platform for reliability and speed Contribute to code reviews, technical documentation, and engineering best practices in an agile environment Required Skills JavaScript or Type Script React or similar front-end framework Node.js, Ruby, or similar backend language RESTful and/or Graph QL API development Relational and No SQL databases Cloud platforms (AWS, GCP, or Azure) Application and data security best practices Automated testing and CI/CD pipelines Agile/Scrum development methodologies Version control with Git
11/02/2026
Full time
Sittercity, a leading online marketplace for trusted childcare, is seeking a software engineer to help power our sitter-family matching platform. In this role, you'll build secure, scalable web and mobile features that make it easier for parents to find safe, reliable care. You'll collaborate with product, design, and data teams in an agile environment, focusing on usability, performance, and safety. Join a collaborative, mission-driven culture where your work directly supports families, caregivers, and the future of tech-enabled childcare. Responsibilities Design, develop, and maintain Sittercity's web and mobile platforms that connect families with sitters and nannies Implement secure, scalable code to protect user data and support safe caregiver-family matching Collaborate with product, design, and data teams to build features that improve search, screening, and booking workflows Integrate third-party APIs and internal services to streamline payments, messaging, and background check processes Monitor performance, troubleshoot production issues, and optimize the platform for reliability and speed Contribute to code reviews, technical documentation, and engineering best practices in an agile environment Required Skills JavaScript or Type Script React or similar front-end framework Node.js, Ruby, or similar backend language RESTful and/or Graph QL API development Relational and No SQL databases Cloud platforms (AWS, GCP, or Azure) Application and data security best practices Automated testing and CI/CD pipelines Agile/Scrum development methodologies Version control with Git
Sittercity is seeking a Software Engineer to help build and scale our online marketplace that connects families with trusted sitters and nannies. In this role, you'll design and deliver secure, reliable features that power search, matching, messaging, and payments for caregivers and parents. Working in a collaborative, mission-driven environment, you'll partner with product, design, and data teams to translate real caregiving challenges into intuitive digital experiences. You'll write clean, tested code, improve performance, and contribute to a culture focused on safety, innovation, and supporting families every day. Responsibilities Design, develop, and maintain scalable web and mobile features for Sittercity's childcare marketplace Collaborate with product, design, and data teams to translate family and caregiver needs into technical solutions Integrate third-party APIs and internal services to support search, matching, messaging, and payments Implement secure, well-tested code with attention to privacy, trust, and platform reliability Monitor performance, troubleshoot production issues, and optimize for speed and usability Participate in code reviews, sprint planning, and agile ceremonies in a collaborative environment Contribute to architectural decisions and technical documentation for new and existing systems Use analytics and user feedback to iterate on features that improve caregiver and family experiences Required Skills JavaScript or Type Script React or similar front-end framework Node.js, Ruby, Python, or similar backend language RESTful or Graph QL API development SQL and relational databases Cloud platforms such as AWS, GCP, or Azure Automated testing and CI/CD pipelines Version control with Git Application security and privacy best practices Agile/Scrum software development
11/02/2026
Full time
Sittercity is seeking a Software Engineer to help build and scale our online marketplace that connects families with trusted sitters and nannies. In this role, you'll design and deliver secure, reliable features that power search, matching, messaging, and payments for caregivers and parents. Working in a collaborative, mission-driven environment, you'll partner with product, design, and data teams to translate real caregiving challenges into intuitive digital experiences. You'll write clean, tested code, improve performance, and contribute to a culture focused on safety, innovation, and supporting families every day. Responsibilities Design, develop, and maintain scalable web and mobile features for Sittercity's childcare marketplace Collaborate with product, design, and data teams to translate family and caregiver needs into technical solutions Integrate third-party APIs and internal services to support search, matching, messaging, and payments Implement secure, well-tested code with attention to privacy, trust, and platform reliability Monitor performance, troubleshoot production issues, and optimize for speed and usability Participate in code reviews, sprint planning, and agile ceremonies in a collaborative environment Contribute to architectural decisions and technical documentation for new and existing systems Use analytics and user feedback to iterate on features that improve caregiver and family experiences Required Skills JavaScript or Type Script React or similar front-end framework Node.js, Ruby, Python, or similar backend language RESTful or Graph QL API development SQL and relational databases Cloud platforms such as AWS, GCP, or Azure Automated testing and CI/CD pipelines Version control with Git Application security and privacy best practices Agile/Scrum software development
Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are looking for a hands-on software engineer with deep knowledge of Microsoft Power Platform, including some UiPath understanding. An expert on Power Apps to design, configure and develop custom solutions in Microsoft Power platform. The candidate will take an active role in supporting and building on the MPP application. The candidate will have excellent presentation, communication, leadership, and client development skills to effectively present information to C-level management, public groups, and/or the board of directors. The candidate should have excellent organizational and multi-tasking skills, attention to quality, self-motivation and a strong desire to succeed. Responsibilities: Drive Microsoft Power Platform implementations through all project phases including discovery, definition, build, test, and deploy Identify the client's sales, marketing, and customer service requirements through discovery meetings Delivering services and solutions for clients using Microsoft's PowerApps, Power BI, SharePoint, Power Automate, Microsoft Teams, custom development, and data integrations Provide hands-on technical expertise to design and implement Power Platform based solutions satisfying customer requirements. Conduct end-user training and create and maintain knowledge transfer documentation Automate business processes with Power Apps and Power Automate; outputs will include data visualization and low code applications Develop and continue to refine Power Platform implementation standards and tools Present tailored demonstrations of the technology solution Responsible for high quality, bug-free development as per the coding standards in close collaboration and interaction with other members of the development/QA team Participate in daily project scrum meetings and provide a daily personal status report Collaborate with stakeholders and project team members to design and implement the enterprise Microsoft Dynamics solution ensuring high quality, reliable Serve as Microsoft Power Platform Subject Matter Expert (SME), with technical expertise including system architecture, solution design, system configuration, and security management Help create design documentation for new solutions and functions Work with the support team to resolve production support issues Will be proactive in staying up to date on the latest updates to the Power Platform, as well as future roadmap features announced in Microsoft's wave plans What You Will Need: Must have a minimum of FOUR (4) years of Microsoft Power Platform or Dynamics 365 CRM development experience Selected Candidate must be able to commute onsite to the client as needed US Citizenship is contractually required Must have a Bachelor's degree (4yr college degree) Hands-on experience with SharePoint 2013 or newer to include both on-premise and SharePoint Online, SharePoint Designer to include creating custom workflow solutions, and PowerApps / Power Automate (M365 Suite of Products) Experience in designing complex common data models Understanding of RPA development lifecycle, including process and object creation. Experience developing with UiPath. Familiarity with RPA Control Room, queue management, and scheduling. Ability to follow RPA best practices and coding standards under supervision. Intermediate to advanced knowledge of relational database concepts Experience in using OOTB connectors for Power Apps and Power Automate Experience in design and development of Canvas and Model-driven Power Apps by utilizing Microsoft Dataverse, SharePoint, or other databases as the backend data storage model Knowledge and experience with writing technical requirements, test scripts and knowledge of software programming languages and technologies. Experience in a Software as a Service (SaaS) environment Experience customizing SharePoint lists and disparate systems with PowerApps Experience developing PowerApps model Ability to communicate technical information clearly and concisely to technical and nontechnical users Ability to initiate majority of relevant tasks, specify and plan activities for task accomplishments and notify supervisor of variances. Prior experience working in a non- governmental organization (NGO) Hands-on experience with Power Apps and Power Platform technical solutions Work experience with Software as a Service (SaaS) and/or Platform as a Service (PaaS) environments Core Skills: C#, SQL, .Net, Power Apps, SharePoint, Microsoft DataVerse (CDS), Power Automate Experience with and a good understanding of the Power Platform CoE and governance components What Would Be Nice To Have: Experience in "Big 4" or equivalent established consulting firm and/or Microsoft Gold partner highly desired Experience with RPA tools like UiPath BA/BS degree in Business, Computer Science or Engineering Experience with public sector clients preferred Experience with Agile or Hybrid-Agile methodology The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
10/05/2026
Full time
Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are looking for a hands-on software engineer with deep knowledge of Microsoft Power Platform, including some UiPath understanding. An expert on Power Apps to design, configure and develop custom solutions in Microsoft Power platform. The candidate will take an active role in supporting and building on the MPP application. The candidate will have excellent presentation, communication, leadership, and client development skills to effectively present information to C-level management, public groups, and/or the board of directors. The candidate should have excellent organizational and multi-tasking skills, attention to quality, self-motivation and a strong desire to succeed. Responsibilities: Drive Microsoft Power Platform implementations through all project phases including discovery, definition, build, test, and deploy Identify the client's sales, marketing, and customer service requirements through discovery meetings Delivering services and solutions for clients using Microsoft's PowerApps, Power BI, SharePoint, Power Automate, Microsoft Teams, custom development, and data integrations Provide hands-on technical expertise to design and implement Power Platform based solutions satisfying customer requirements. Conduct end-user training and create and maintain knowledge transfer documentation Automate business processes with Power Apps and Power Automate; outputs will include data visualization and low code applications Develop and continue to refine Power Platform implementation standards and tools Present tailored demonstrations of the technology solution Responsible for high quality, bug-free development as per the coding standards in close collaboration and interaction with other members of the development/QA team Participate in daily project scrum meetings and provide a daily personal status report Collaborate with stakeholders and project team members to design and implement the enterprise Microsoft Dynamics solution ensuring high quality, reliable Serve as Microsoft Power Platform Subject Matter Expert (SME), with technical expertise including system architecture, solution design, system configuration, and security management Help create design documentation for new solutions and functions Work with the support team to resolve production support issues Will be proactive in staying up to date on the latest updates to the Power Platform, as well as future roadmap features announced in Microsoft's wave plans What You Will Need: Must have a minimum of FOUR (4) years of Microsoft Power Platform or Dynamics 365 CRM development experience Selected Candidate must be able to commute onsite to the client as needed US Citizenship is contractually required Must have a Bachelor's degree (4yr college degree) Hands-on experience with SharePoint 2013 or newer to include both on-premise and SharePoint Online, SharePoint Designer to include creating custom workflow solutions, and PowerApps / Power Automate (M365 Suite of Products) Experience in designing complex common data models Understanding of RPA development lifecycle, including process and object creation. Experience developing with UiPath. Familiarity with RPA Control Room, queue management, and scheduling. Ability to follow RPA best practices and coding standards under supervision. Intermediate to advanced knowledge of relational database concepts Experience in using OOTB connectors for Power Apps and Power Automate Experience in design and development of Canvas and Model-driven Power Apps by utilizing Microsoft Dataverse, SharePoint, or other databases as the backend data storage model Knowledge and experience with writing technical requirements, test scripts and knowledge of software programming languages and technologies. Experience in a Software as a Service (SaaS) environment Experience customizing SharePoint lists and disparate systems with PowerApps Experience developing PowerApps model Ability to communicate technical information clearly and concisely to technical and nontechnical users Ability to initiate majority of relevant tasks, specify and plan activities for task accomplishments and notify supervisor of variances. Prior experience working in a non- governmental organization (NGO) Hands-on experience with Power Apps and Power Platform technical solutions Work experience with Software as a Service (SaaS) and/or Platform as a Service (PaaS) environments Core Skills: C#, SQL, .Net, Power Apps, SharePoint, Microsoft DataVerse (CDS), Power Automate Experience with and a good understanding of the Power Platform CoE and governance components What Would Be Nice To Have: Experience in "Big 4" or equivalent established consulting firm and/or Microsoft Gold partner highly desired Experience with RPA tools like UiPath BA/BS degree in Business, Computer Science or Engineering Experience with public sector clients preferred Experience with Agile or Hybrid-Agile methodology The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Job Description Job Description Altamira brings a commercial mindset to solving the most complex national security problems by delivering mission application development, multi-intelligence analysis, and data science technologies and solutions to the defense, intelligence, and homeland security communities. Altamira's culture of innovation and excellence, and mid-market-size, positions us as the premier next generation leader bringing technology solutions to mission. Position Description We are seeking an experienced R&D Technical Lead to bridge the gap between AI/ML research and production-ready solutions. In this role, you will provide technical leadership across AI/ML and software engineering, guiding teams from early-stage research concepts through successful customer delivery. The ideal candidate brings a broad software engineering background combined with strong AI/ML expertise, with the ability to translate machine learning models and research into scalable, integrated software architectures. You will collaborate across disciplines to drive technical decisions, mentor development teams, and ensure solutions meet real-world customer needs. Our work focuses on applied AI/ML solutions for real-world object tracking, detection, and characterization, enabling advanced data triaging and system automation. These capabilities help our customers manage increasing volumes of data and address the challenges associated with data saturation. Core Responsibilities Team Leadership: Provide technical guidance to engineering teams, aligning project requirements to technical tasking System Architecture: Design and implement scalable, high-performance software systems that integrate AI/ML capabilities Collection Coordination: Architect multi-agent or agentic workflows to synchronize data collection efforts across various projects, optimizing resource allocation. Technical Mentorship: Lead a high-performing team of engineers, conducting code reviews and setting engineering standards for MLOps and production pipelines. Strategic Integration: Collaborate with project managers to translate complex client requirements into actionable AI/ML roadmaps. Qualifications & Skills Education: Bachelor's or above in Computer Science, AI, or a related quantitative field. Experience: 7+ years of professional experience in machine learning, with at least 3 years leading teams from research or prototyping through production deployment. Computer Vision Expertise: Proven track record in developing computer vision models for object tracking (e.g., CNNs, Transformers) and real-time video analytics. Advanced Programming: Expert-level proficiency in Python and high-performance languages (C++/Rust/Java) alongside familiarity with backend deployment tools (Docker, Kubernetes). Data Management: Experience overseeing the full data lifecycle, from acquisition and cleaning to high-fidelity labeling for specialized collections. Communication: Ability to articulate complex AI concepts to non-technical stakeholders and executive leadership.
09/30/2026
Full time
Job Description Job Description Altamira brings a commercial mindset to solving the most complex national security problems by delivering mission application development, multi-intelligence analysis, and data science technologies and solutions to the defense, intelligence, and homeland security communities. Altamira's culture of innovation and excellence, and mid-market-size, positions us as the premier next generation leader bringing technology solutions to mission. Position Description We are seeking an experienced R&D Technical Lead to bridge the gap between AI/ML research and production-ready solutions. In this role, you will provide technical leadership across AI/ML and software engineering, guiding teams from early-stage research concepts through successful customer delivery. The ideal candidate brings a broad software engineering background combined with strong AI/ML expertise, with the ability to translate machine learning models and research into scalable, integrated software architectures. You will collaborate across disciplines to drive technical decisions, mentor development teams, and ensure solutions meet real-world customer needs. Our work focuses on applied AI/ML solutions for real-world object tracking, detection, and characterization, enabling advanced data triaging and system automation. These capabilities help our customers manage increasing volumes of data and address the challenges associated with data saturation. Core Responsibilities Team Leadership: Provide technical guidance to engineering teams, aligning project requirements to technical tasking System Architecture: Design and implement scalable, high-performance software systems that integrate AI/ML capabilities Collection Coordination: Architect multi-agent or agentic workflows to synchronize data collection efforts across various projects, optimizing resource allocation. Technical Mentorship: Lead a high-performing team of engineers, conducting code reviews and setting engineering standards for MLOps and production pipelines. Strategic Integration: Collaborate with project managers to translate complex client requirements into actionable AI/ML roadmaps. Qualifications & Skills Education: Bachelor's or above in Computer Science, AI, or a related quantitative field. Experience: 7+ years of professional experience in machine learning, with at least 3 years leading teams from research or prototyping through production deployment. Computer Vision Expertise: Proven track record in developing computer vision models for object tracking (e.g., CNNs, Transformers) and real-time video analytics. Advanced Programming: Expert-level proficiency in Python and high-performance languages (C++/Rust/Java) alongside familiarity with backend deployment tools (Docker, Kubernetes). Data Management: Experience overseeing the full data lifecycle, from acquisition and cleaning to high-fidelity labeling for specialized collections. Communication: Ability to articulate complex AI concepts to non-technical stakeholders and executive leadership.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineer - Backend/Integration Job Code: 43111 Job Location: Patrick Space Force Base, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: We are seeking a TS/SCI-cleared, highly skilled and motivated Lead Software/Integration Engineer with experience in modern backend development, Java, AWS, Docker, Linux, CI/CD, and AI-assisted development experience to support mission modernization, software integration, and mission-system reliability improvements. The ideal candidate will provide technical leadership across software and infrastructure teams and work onsite at Patrick Space Force Base. Essential Functions: Develop secure and scalable back-end services and application logic to support mission applications and workflows. Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines. Deploy and maintain applications in AWS, ensuring scalability, security, resilience, and cost-effectiveness. Engage with customers daily to refine requirements and improve application functionality. Prepare and brief technical designs, implementation plans, roadmaps, and documentation. Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities. Supporting Agile software development teams and participating in Scrum ceremonies. Building and deploying mission applications in classified or high-security environments. Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position. Qualifications: Bachelor's degree in computer science or computer engineering and a minimum of 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: Proficiency with Java language Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience developing and deploying containerized applications using Kubernetes K-8. Experience developing and deploying applications in Amazon Web Services (AWS). Experience with Docker, CI/CD, Git, REST APIs, microservices, and secure software development. Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired. Experience building back-end services and APIs using Python, Java, Node.js, .NET, or similar. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores. Prior field assignment experience Experience with AI-assisted development tools Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred. Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar. Familiarity with the C2S Access Portal (CAP) and high-side AWS environments is highly desired. Experience with containerization and orchestration technologies such as Docker and Kubernetes. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/30/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineer - Backend/Integration Job Code: 43111 Job Location: Patrick Space Force Base, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: We are seeking a TS/SCI-cleared, highly skilled and motivated Lead Software/Integration Engineer with experience in modern backend development, Java, AWS, Docker, Linux, CI/CD, and AI-assisted development experience to support mission modernization, software integration, and mission-system reliability improvements. The ideal candidate will provide technical leadership across software and infrastructure teams and work onsite at Patrick Space Force Base. Essential Functions: Develop secure and scalable back-end services and application logic to support mission applications and workflows. Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines. Deploy and maintain applications in AWS, ensuring scalability, security, resilience, and cost-effectiveness. Engage with customers daily to refine requirements and improve application functionality. Prepare and brief technical designs, implementation plans, roadmaps, and documentation. Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities. Supporting Agile software development teams and participating in Scrum ceremonies. Building and deploying mission applications in classified or high-security environments. Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position. Qualifications: Bachelor's degree in computer science or computer engineering and a minimum of 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: Proficiency with Java language Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience developing and deploying containerized applications using Kubernetes K-8. Experience developing and deploying applications in Amazon Web Services (AWS). Experience with Docker, CI/CD, Git, REST APIs, microservices, and secure software development. Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired. Experience building back-end services and APIs using Python, Java, Node.js, .NET, or similar. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores. Prior field assignment experience Experience with AI-assisted development tools Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred. Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar. Familiarity with the C2S Access Portal (CAP) and high-side AWS environments is highly desired. Experience with containerization and orchestration technologies such as Docker and Kubernetes. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
09/28/2026
Full time
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
Job Description Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production - building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do Design, build, and deploy end-to-end AI-powered product experiences from concept through production. Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure. Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3. Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform. Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies. Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities. Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability. Continuously evaluate emerging AI technologies, models, frameworks, and workflows to identify opportunities that create meaningful business and user value. What you'll bring 8+ years of experience building and shipping production software, including significant full-stack engineering experience. Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences. Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling. Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems. Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services. Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience. Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight. Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences. Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste. Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred. Strong communication and collaboration skills, with the ability to work effectively across both technical and non-technical teams. What you'll get from us: Our people : We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution. Relaxation and Celebrations : Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect). Health Benefits : We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program. Plan for your Retirement : 401(k) eligible after your first 90 day's employed! Giving Back : We sponsor multiple events throughout the year to help out our communities. Growth : We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters! Flexible Work Schedules : With business units and employees across the globe, Material Technologies has embraced a hybrid working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both. Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.
09/26/2026
Full time
Job Description Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production - building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do Design, build, and deploy end-to-end AI-powered product experiences from concept through production. Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure. Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3. Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform. Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies. Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities. Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability. Continuously evaluate emerging AI technologies, models, frameworks, and workflows to identify opportunities that create meaningful business and user value. What you'll bring 8+ years of experience building and shipping production software, including significant full-stack engineering experience. Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences. Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling. Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems. Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services. Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience. Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight. Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences. Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste. Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred. Strong communication and collaboration skills, with the ability to work effectively across both technical and non-technical teams. What you'll get from us: Our people : We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution. Relaxation and Celebrations : Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect). Health Benefits : We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program. Plan for your Retirement : 401(k) eligible after your first 90 day's employed! Giving Back : We sponsor multiple events throughout the year to help out our communities. Growth : We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters! Flexible Work Schedules : With business units and employees across the globe, Material Technologies has embraced a hybrid working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both. Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.
Job Description Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production - building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do Design, build, and deploy end-to-end AI-powered product experiences from concept through production. Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure. Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3. Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform. Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies. Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities. Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability. Continuously evaluate emerging AI technologies, models, frameworks, and workflows to identify opportunities that create meaningful business and user value. What you'll bring 8+ years of experience building and shipping production software, including significant full-stack engineering experience. Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences. Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling. Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems. Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services. Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience. Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight. Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences. Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste. Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred. Strong communication and collaboration skills, with the ability to work effectively across both technical and non-technical teams. What you'll get from us: Our people : We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution. Relaxation and Celebrations : Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect). Health Benefits : We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program. Plan for your Retirement : 401(k) eligible after your first 90 day's employed! Giving Back : We sponsor multiple events throughout the year to help out our communities. Growth : We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters! Flexible Work Schedules : With business units and employees across the globe, Material Technologies has embraced a hybrid working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both. Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.
09/26/2026
Full time
Job Description Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production - building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do Design, build, and deploy end-to-end AI-powered product experiences from concept through production. Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure. Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3. Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform. Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies. Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities. Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability. Continuously evaluate emerging AI technologies, models, frameworks, and workflows to identify opportunities that create meaningful business and user value. What you'll bring 8+ years of experience building and shipping production software, including significant full-stack engineering experience. Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences. Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling. Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems. Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services. Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience. Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight. Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences. Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste. Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred. Strong communication and collaboration skills, with the ability to work effectively across both technical and non-technical teams. What you'll get from us: Our people : We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution. Relaxation and Celebrations : Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect). Health Benefits : We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program. Plan for your Retirement : 401(k) eligible after your first 90 day's employed! Giving Back : We sponsor multiple events throughout the year to help out our communities. Growth : We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters! Flexible Work Schedules : With business units and employees across the globe, Material Technologies has embraced a hybrid working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both. Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.
Job Description Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production - building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do Design, build, and deploy end-to-end AI-powered product experiences from concept through production. Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure. Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3. Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform. Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies. Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities. Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability. Continuously evaluate emerging AI technologies, models, frameworks, and workflows to identify opportunities that create meaningful business and user value. What you'll bring 8+ years of experience building and shipping production software, including significant full-stack engineering experience. Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences. Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling. Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems. Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services. Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience. Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight. Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences. Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste. Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred. Strong communication and collaboration skills, with the ability to work effectively across both technical and non-technical teams. What you'll get from us: Our people : We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution. Relaxation and Celebrations : Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect). Health Benefits : We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program. Plan for your Retirement : 401(k) eligible after your first 90 day's employed! Giving Back : We sponsor multiple events throughout the year to help out our communities. Growth : We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters! Flexible Work Schedules : With business units and employees across the globe, Material Technologies has embraced a hybrid working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both. Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.
09/26/2026
Full time
Job Description Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production - building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do Design, build, and deploy end-to-end AI-powered product experiences from concept through production. Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure. Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3. Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform. Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies. Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities. Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability. Continuously evaluate emerging AI technologies, models, frameworks, and workflows to identify opportunities that create meaningful business and user value. What you'll bring 8+ years of experience building and shipping production software, including significant full-stack engineering experience. Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences. Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling. Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems. Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services. Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience. Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight. Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences. Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste. Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred. Strong communication and collaboration skills, with the ability to work effectively across both technical and non-technical teams. What you'll get from us: Our people : We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution. Relaxation and Celebrations : Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect). Health Benefits : We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program. Plan for your Retirement : 401(k) eligible after your first 90 day's employed! Giving Back : We sponsor multiple events throughout the year to help out our communities. Growth : We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters! Flexible Work Schedules : With business units and employees across the globe, Material Technologies has embraced a hybrid working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both. Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.
