microservices jobs in San Diego

Computer Programmer III will design, develop, and deploy software in highly regulated DoD DevSecOps environments using modern Agile practices (Scrum, Kanban, SAFe) and contemporary architecture patterns (microservices, event-driven, serverless). The role requires hands-on coding in Python, Java, C, Go, or C++; proficiency with containerized deployment on Kubernetes and cloud platforms (AWS, Azure, GCP); and demonstrated expertise implementing security gates, vulnerability scanning, and compliance automation for denied/disrupted operational environments.…See more Candidates must have 5+ years software development experience, 2+ years applying DevSecOps in government/DoD settings, and proven ability to build resilient, offline-first architectures for bandwidth-constrained naval systems.

Develop, optimize, and validate AI/ML solutions that leverage Qualcomm's AI inference accelerators for data center and hybrid applications. Design and implement GenAI and LLM applications, perform model benchmarking, optimize deployment strategies, and drive system-level architecture decisions.…See more Apply deep expertise in ML frameworks, system performance profiling, and parallel computing to ensure best-in-class inference performance, power efficiency, and scalability across heterogeneous hardware.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. The engineer will lead the technical roadmap for agent management—from provisioning and orchestration to compliance and retirement—while ensuring AI agents are secure by design with built-in visibility and guardrails.…See more The role requires 8+ years of software architecture and backend systems experience, deep knowledge of autonomous agent frameworks (LangChain, AutoGen, CrewAI), and expertise in cloud infrastructure (AWS, Azure, GCP) and Kubernetes. You'll collaborate cross-functionally with researchers, platform engineers, and product teams to bring agentic AI capabilities to production while establishing best practices for agent safety, observability, and ethical deployment.

Senior Software Engineer role at Philips building full-stack ECG solutions for medical devices. Design, develop, and maintain robust applications using Java, Spring Boot, JavaScript, and Angular, implementing microservices architecture and APIs with GraphQL and RabbitMQ.…See more Lead deployment on AWS (EKS, RDS) with focus on CI/CD, security, and compliance with medical device standards (IEC 62304, HIPAA). Requires 5+ years software engineering experience, cloud expertise, and familiarity with regulated healthcare environments.

This entry-level backend software engineer role involves designing, developing, and maintaining microservices and APIs for Qualcomm's Compute Sentra SaaS platform, which powers device management and IoT security. You will implement REST APIs, event listeners, and data models in object-oriented languages (Java, Kotlin, C#), work with relational databases and SQL, and deploy services to cloud environments.…See more The role includes code reviews, testing, debugging, and cross-functional collaboration with product and QA teams, with exposure to modern AI-assisted development tools.

Software Engineer II focused on backend development for a fintech lending platform. You will design, develop, and maintain APIs using TypeScript and Node.js, integrate with third-party financial APIs, collaborate with cross-functional teams, and deploy infrastructure to AWS.…See more The role requires 3+ years of backend experience, strong TypeScript proficiency, familiarity with React, Jest testing, and microservices architecture.

The AI Engineer designs, builds, and operates production-grade AI solutions in Azure Government (GCCH) environments, with a focus on LLM and RAG implementations. Responsibilities include testing and optimizing LLMs and model variants, benchmarking RAG systems, building MCP server integrations to connect AI agents to enterprise data, implementing agentic AI workflows using platforms like N8N and Copilot Studio, and developing modular AI microservices.…See more The role also involves supporting security practices (RBAC, Key Vault, data protection), monitoring and incident response for AI workloads, and helping BI and DevOps teams adopt AI capabilities toward production. A Bachelor's degree in Computer Science or related field and 1–2 years' experience with LLMs, RAG, or AI solution development are required.

Entry-level backend software engineer role building cloud-native microservices for Qualcomm's Compute Sentra SaaS platform, which powers device management and IoT security. You will implement REST APIs, event listeners, and data models; write tested code; participate in code reviews; and troubleshoot services in cloud environments.…See more The role emphasizes learning modern development practices, including AI-assisted coding tools, alongside experienced engineers.

Design and develop operational software applications supporting Qualcomm's Product Security Team, implementing security development lifecycle frameworks and workflows. Work across diverse technology teams to translate security requirements into production systems, with focus on vulnerability management, debugging complex issues, and resolving production security incidents.…See more Requires 2+ years of development experience in languages like C#, .NET Core, Python, or Java, plus strong software security fundamentals and Linux administration or development skills.

As a Staff Site Reliability Engineer at Altium (Renesas), you will ensure reliability, availability, and performance of large-scale SaaS cloud platforms through a combination of software engineering and systems administration. You will pioneer improvements in observability (logging, monitoring, APM), develop reliability frameworks, contribute to incident response and management, and drive automation and Infrastructure as Code initiatives across multiple regions.…See more The role requires 6+ years of SRE/DevOps experience in large-scale environments, 3+ years of software development (ideally .NET), strong knowledge of Kubernetes, AWS, microservices, and HA architecture, plus hands-on expertise with observability tools, CI/CD platforms, and IaC tools.

The AI Engineer designs, builds, and operates production-grade AI solutions in Azure Government environments, focusing on LLM and RAG implementations, agentic AI workflows, and secure enterprise integrations. Responsibilities include testing and optimizing language models, benchmarking RAG systems, building MCP server integrations, implementing multi-step AI agents using platforms like N8N and Copilot Studio, and developing modular AI microservices.…See more The role requires hands-on support for security (RBAC, Key Vault, data protection), monitoring, and incident response in Azure Gov, with a focus on moving proofs of concept toward production deployment.

Qualcomm seeks a Machine Learning Engineer to design, develop, and deploy generative AI solutions focused on Large Language Models, Retrieval-Augmented Generation (RAG), and intelligent agent systems. The role involves implementing RAG-based solutions, optimizing LLM fine-tuning strategies, building evaluation frameworks, and maintaining agentic workflows for autonomous AI systems.…See more The candidate must have strong Python programming skills, practical LLM deployment experience, and familiarity with ML frameworks like PyTorch and TensorFlow, alongside knowledge of vector databases, cloud platforms (AWS, GCP, Azure), and modern MLOps infrastructure.

Lead verification and validation of cloud-connected medical device systems, designing and executing comprehensive test plans while developing automated test frameworks in Python. Test Microsoft Azure cloud applications, APIs, and infrastructure alongside embedded medical device software in regulated environments.…See more Mentor other test engineers, support CI/CD pipelines, and perform root cause analysis on defects. Requires 10+ years in software testing/QA, deep Azure and Python expertise, hands-on embedded medical device testing experience, and SDLC/V&V process knowledge.

This is a Staff Site Reliability Engineer role focused on ensuring reliability, availability, and performance of Altium's large-scale SaaS cloud platforms. The role combines software engineering and systems administration, requiring 6+ years of SRE/DevOps experience and 3+ years of software development (preferably .NET).…See more Responsibilities include designing observability frameworks, automating operational tasks, managing incidents, implementing infrastructure-as-code, and collaborating with engineering teams on reliability best practices across AWS and Kubernetes environments.

Senior Software Engineer on the Pyxis ES Development team, responsible for designing and implementing scalable enterprise software solutions in microservices-based architectures. The role requires 5+ years of coding experience in languages like Python, Java, Go, C, or C++, with hands-on expertise in modern web technologies (React, Node.js, Spring, Ruby), containerization, messaging platforms (Kafka, RabbitMQ), and relational databases.…See more You will conduct software testing and evaluation, provide technical documentation, participate in design reviews, and work collaboratively with cross-functional teams in Agile environments. Strong analytical and problem-solving abilities, plus experience with cloud platforms and infrastructure-as-code tools, are essential.

Lead engineering across customer-facing and back-office platforms for a federally chartered bank, setting quality standards, performance benchmarks, and delivery practices for 300+ engineers across four organizational units. Own the shift from gate-based to continuous, AI-augmented quality practices; partner with architecture, DevOps, security, and product leadership to embed engineering strategy into roadmap decisions; and represent technical delivery health and capability investment needs to the CFO and board.…See more Requires 10+ years leading development/QA/business-analysis teams, hands-on fluency in modern architecture (microservices, API-first, Redis, CI/CD), direct experience with financial infrastructure (banking cores, settlement, blockchain), and a track record of rescuing major projects, building delivery operating models at scale, and deploying autonomous or semi-autonomous AI agents in workflows.

Senior Software Engineer role focused on building scalable payment infrastructure and banking integrations. Responsibilities include designing and implementing core platform services and APIs, building secure integrations with financial institutions, ensuring high availability and system reliability, and collaborating across teams on fintech solutions.…See more Requires 5+ years of backend systems experience with strong proficiency in Java, Spring, Kubernetes, microservices architecture, and cloud platforms (AWS, GCP, or Azure), plus understanding of payments processing, financial compliance, and security best practices.

Build and maintain a native Go-based Identity SDK with feature parity to existing authentication libraries, including Client Bearer Token validation, cryptographic signature verification, token expiration and revocation handling, and security header injection. Integrate token validation within Go-based service mesh and proxy environments (Envoy, Istio), design migration strategies with progressive rollouts and rollback capabilities, and conduct performance benchmarking and latency optimization.…See more Collaborate cross-functionally to deliver secure, scalable identity solutions and create technical documentation for adoption by engineering teams.

Software engineer responsible for designing, developing, and implementing solutions to migrate legacy virtualized systems to cloud platforms. The role requires proficiency in Java, C++, and Spring Boot, with demonstrated expertise in AWS and/or Azure cloud architectures.…See more You will work with microservices, Docker, Kubernetes, and DevSecOps practices including CI/CD pipelines and automated testing, and participate in code and design reviews to ensure software quality and maintainability.

Build and deploy production-grade AI models that power Petco's e-commerce platform, including personalized recommendations, demand forecasting, and price optimization. Design and maintain robust MLOps pipelines for automated model retraining, monitoring, and 24/7 reliability across web and mobile.…See more Partner with Software Engineering and Mobile teams to integrate AI features into production systems, and mentor junior engineers on ML engineering best practices. Experiment with emerging technologies like Generative AI and LLMs to drive business impact.

Software Developer III will design, develop, test, integrate, and deploy software for the Application Arsenal platform, translating user stories and operational requirements into secure, maintainable solutions. The role requires hands-on coding in languages like Python, Java, C#, Go, or C++; implementing modern architectural patterns (microservices, event-driven, serverless); and managing the complete software delivery lifecycle including CI/CD pipelines, automated security testing (SAST, DAST, SCA), and containerization.…See more The developer will support Kubernetes and cloud deployments, troubleshoot issues across laboratory and operational environments, and collaborate with systems engineers, cybersecurity teams, and government stakeholders. An active Top Secret or TS/SCI clearance with Tier 5 investigation, Security+ certification, and minimum 5 years of Agile software development experience are required.

As a Forward Deployed Engineer IV in Applied AI at Google Cloud, you will lead end-to-end engineering for production conversational AI systems, transforming prototypes into scalable agentic workflows deployed at customer sites. You'll architect multi-agent systems using frameworks like ReAct, optimize RAG implementations, debug agent logic across microservices, and connect AI systems to enterprise infrastructure.…See more The role requires 8+ years of software development (Python or similar), experience with infrastructure-as-code (Terraform), cloud platform deployment (GCP), and hands-on full-stack application development. You'll travel up to 50% and work directly with customers to establish production AI journeys while identifying patterns that feed back into product improvements.

Design and build AI agents and full-stack web applications that automate enterprise workflows, with expertise in agentic AI frameworks, LLM orchestration, and generative AI integration. Architect a multi-agent platform enabling PM and engineering agents to exchange plans and context, while developing backend services in C#/.NET/Python/TypeScript and modern Angular/React frontends that connect to enterprise systems like Jira, Microsoft 365, and SQL/NoSQL databases.…See more Define agentic engineering standards including tool contracts, prompt management, guardrails, and agent evaluation. Requires hands-on experience with LLM application development, RAG, tool calling, prompt engineering, agentic runtimes (LangGraph, AutoGen, n8n), and full-stack enterprise application development on AWS or Azure.

Full-stack developer role supporting mission-critical Command and Control (C2) applications in a maritime defense environment. Responsibilities include designing and maintaining full-stack applications, modernizing legacy systems through containerization and microservices, developing RESTful APIs, and participating in Agile delivery cycles.…See more Required experience spans front-end technologies (React, TypeScript, JavaScript), back-end development (Java, SQL), containerization (Docker, Kubernetes/OpenShift), and DevSecOps practices (CI/CD, Git).

Design and build AI agents that automate workflows within a multi-agent platform, enabling PM and engineering agents to exchange plans and context over shared program data. Develop full-stack web applications with generative AI functionality—conversational interfaces, natural-language querying, automated summarization, and in-context recommendations—using C#, .NET, Python, TypeScript, Angular/React, and integrations with Jira, Microsoft 365, Confluence, and SQL/NoSQL stores.…See more Define agentic engineering standards including tool contracts, MCP servers, prompt management, memory, guardrails, human-in-the-loop approval, and evaluation harnesses. Requires hands-on experience with LLM application development, agentic runtimes like LangGraph or AutoGen, full-stack enterprise development, and cloud deployment on AWS or Azure.