QA Automation Engineer II - India
The QA Automation Engineer II will collaborate with product and engineering teams to define and drive manual and automation testing efforts. Key responsibilities include reviewing specifications, identifying test cases for automation, and designing, developing, and executing test cases against product features. The role requires maintaining and extending the automation framework (Cypress/Playwright/Locust) and actively contributing to quality assurance best practices.
Software Engineer 1 (JavaScript)
The Software Engineer 1 will join the team in Jaipur to build and scale the new Peak AI-powered platform. Key responsibilities include writing production-quality code utilizing Typescript, Node.js, AWS, and Kubernetes, as well as collaborating with stakeholders and onboarding new clients. The role involves continuous technical learning, creating specifications, testing, and contributing to AI-powered features.
Software Engineer
The Backend Software Engineer (Python/Django) will be responsible for designing, developing, and maintaining scalable backend services and RESTful APIs for business-critical applications. Key responsibilities include building scalable, secure, and maintainable multi-tier backend applications using Python and Django. The role requires strong proficiency in backend architecture, experience with relational databases, and collaboration with frontend/UX teams.
Forward-deployed Frontend Engineer
The Forward-Deployed Frontend Engineer will act as the bridge between advanced AI models and human users, designing and implementing the interactive layer for Enterprise AI solutions like RAG systems and Copilots. Key responsibilities include building high-performance UIs, mastering AI interaction patterns like streaming responses, and collaborating with AI engineers to optimize the user experience. This role requires deep proficiency in modern frontend technologies and involves direct client engagement and travel.
AI Engineer
The AI Engineer will join the Professional Services team to design, build, and optimize production-grade AI agent systems for enterprise customers. Key responsibilities include designing multi-agent systems, implementing agent logic using frameworks like langchain/langgraph, and guiding customers on deployment and configuration management. This role requires deep technical expertise in agent engineering combined with customer-facing skills to lead maturity assessments and provide recommendations.
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Ground Software Engineer II/ Senior Ground Software Engineer I
The Ground Software Engineer II/Senior Ground Software Engineer I, based in Long Beach, CA, will develop cutting-edge spacecraft ground software for Space Systems missions. Key responsibilities include developing web-based software architecture, collaborating with cross-functional teams, and deploying/configuring the Rocket Lab Ground Data System. This role requires experience in software development, Python, web application architecture, and AWS, with citizenship requirements due to program security needs.
Ground Software Engineer II/ Senior Ground Software Engineer I
This role involves developing cutting-edge spacecraft ground software for various Space Systems missions based in Littleton, CO. Key responsibilities include developing and evolving web-based software architecture, deploying the Rocket Lab Ground Data System, and establishing monitoring and alerting to ensure system stability. The engineer will collaborate closely with flight software developers and systems engineers to meet functional requirements for internal leadership and external stakeholders.
Staff Frontend Engineer, Forward Deployed
The Staff Frontend Engineer, Forward Deployed role involves working directly with strategic customers to integrate and extend Foxglove's platform, focusing on robotics and observability. Key responsibilities include deep customer collaboration, architecting and building end-to-end solutions using technologies like TypeScript/React and Node.js/Python, and acting as a trusted engineering partner. This position requires strong hands-on delivery skills, frequent cross-functional alignment, and relaying frontline insights to shape the product roadmap.
Software Engineer, Full-Stack
The Fullstack Engineer will own end-to-end product experiences, designing intuitive UIs and building the backend systems necessary to bring advanced AI capabilities to enterprise and legal customers. Responsibilities include building features across the stack using React/TypeScript and Python-based services, implementing LLM workflows, and ensuring features are secure and multi-tenant suitable for large enterprises. This high-impact role requires 6+ years of experience and offers significant autonomy in defining architecture and product direction.
Audit Automation Engineer
The Internal Audit team is seeking an Audit Automation Engineer to design, build, and maintain full-stack web applications and AI-enabled workflows for continuous auditing and predictive risk insights. Key responsibilities include developing robust scripts (Python, SQL) for data manipulation and testing, maintaining continuous monitoring infrastructure (Workiva), and writing scalable code using TypeScript for the front end and Python for the back end. The role requires strong software engineering skills applied to complex risk and compliance challenges.
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Data Platform Engineer (m/f/d) - Data Lake Platform
The Data Platform Engineer will build and operate the central, secure, and self-service data infrastructure foundation (Data Lake Platform) at MOIA, supporting 25+ internal teams. Key responsibilities include developing core platform applications (like Airflow), designing the next-generation data lake on AWS using Spark/Iceberg, and ensuring compliance and governance for high-volume data streams.
Data Platform Engineer (m/f/d) - Data Lake Platform
The Data Platform Engineer will build and operate core data platform applications like Airflow and design the next-generation, multi-tenant data lake on AWS. Key responsibilities include developing ingestion and access layers using Spark and Iceberg, implementing data lifecycle policies, and building infrastructure as code using AWS CDK. The role focuses on providing a secure, self-service foundation for data management across 25+ teams.
Senior QA Analyst
Tubi is seeking a Senior QA Analyst in Toronto to lead quality assurance for streaming and AI-driven product features across web, mobile, and OTT platforms. Key responsibilities include designing test strategies for playback systems, validating AI model accuracy, and contributing to automation frameworks. This hybrid role requires strong technical knowledge of media workflows and debugging utilities.
Senior Automation Engineer
The Senior Automation Engineer will join a cross-functional Scrum team to develop and support cloud-scale products by building automated tests across UI, backend services, and databases. Key responsibilities include developing API/automation tests, maintaining the testing framework, running manual tests, and supporting customer integration testing. This role requires 4-7 years of experience in automation tools and strong knowledge of AWS services and database concepts.
Senior Full-Stack Software Engineer
The Senior Full-Stack Developer will design, develop, and operate the technical layer for Product Lifecycle Automation (PLA), orchestrating configurations for physical products like sensors and cameras at scale. Key responsibilities include defining PLA architecture, automating IoT fleet provisioning (Salt), developing backend systems, building the internal back-office, and creating the installer application for field deployment. This role is critical for ensuring a reliable, traceable, automated, and scalable product lifecycle.
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Software Development Engineer III / Senior Software Development Engineer - Full-Stack
This role involves building user-facing and platform experiences for Workday’s AI agents, which are deeply embedded in HR and Finance workflows. Responsibilities include designing and shipping full-stack solutions, owning services end-to-end (build it, run it), and collaborating within a small, cross-functional team. The engineer will focus on turning powerful technology into scalable, reliable products used globally by millions.
Software Development Engineer III / Senior Software Development Engineer - Full-Stack
This role involves building user-facing and platform experiences for Workday's AI agents, embedded deeply into HR and Finance workflows. Responsibilities include designing and shipping full-stack solutions, from front-end interfaces to resilient backend services that integrate AI capabilities. Engineers own services end-to-end, collaborate cross-functionally, and focus on turning powerful technology into scalable, reliable products for global customers.
Full-Stack Engineer (libra - Legal AI Assistant)
The Full Stack Engineer will be essential in developing Libra's AI platform for legal professionals, working end-to-end across the stack in a hybrid environment. Key responsibilities include designing and maintaining product features, collaborating with product/design teams, ensuring code quality, and integrating AI tools. Candidates must have a minimum of 3 years of experience, strong proficiency in Python/FastAPI, and solid TypeScript skills.
Full-Stack Engineer (libra - Legal AI Assistant)
The Full Stack Engineer will play a central role in developing Libra's AI platform for legal professionals, working end-to-end across the stack in a fast-paced, agile environment. Key responsibilities include designing and implementing product features from backend APIs to frontend interfaces, collaborating with design/product teams, and exploring AI tool integration. This role offers high impact and ownership in shaping the future of legal technology.
Software Engineer, Backend
Replicant is seeking a Backend-Focused Full Stack Software Engineer to enhance their core AI voice and chat products. The role involves designing and implementing scalable backend functionality, optimizing data structures, and refactoring business logic to improve performance. The engineer will collaborate closely with product and ML teams to build features powering millions of daily conversations using a stack including Python, Node.js, and React.