microservices jobs in San Diego

Lead development of scalable SaaS features for clinical trial platforms, owning delivery from ideation through release. js, while mentoring engineers and establishing engineering best practices.…See more ypeScript, Python, React, and Node.js, while mentoring engineers and establishing engineering best practices. Design relational schemas and integrate with cloud platforms (Azure, AWS, GCP); AI/LLM integration is a plus. Requires 7+ years building distributed, multi-tenant software products.

Design, deploy, and maintain enterprise Windows Server infrastructure with expertise in Active Directory, authentication systems (Kerberos, RADIUS, PKI), and DoD-compliant hardening (STIGs, CIS, Zero Trust). Develop Infrastructure-as-Code automation using PowerShell, Python, and Ansible across Windows and Linux environments, manage SCCM/MECM patch deployment and WSUS, and architect virtualized environments on KVM and EC2.…See more Mentor engineering teams on system integration, security, and cross-domain interoperability, and collaborate with cybersecurity, network, and Linux teams to solve complex enterprise deployment challenges.

This role focuses on software integration, system validation, release quality, and deployment across embedded hardware and software stacks. The engineer will develop Embedded Linux drivers, middleware services for OTA updates and diagnostics, create CI/CD pipelines for embedded builds, automate deployments across HIL and vehicle environments, and design regression tests for firmware and CAN interfaces.…See more The position requires 3+ years in embedded systems, platform engineering, or DevOps, with hands-on Linux experience, C/C++ proficiency, and expertise in driver development, CAN bus integration, and structured test planning.

The SW Test Development Engineer 2 will design, develop, and maintain automated and manual test scripts for Dexcom's CGM software and data platform systems. You'll write API and UI tests, create verification and validation test plans, analyze failures with development teams, and contribute to release improvements.…See more The role requires 2–5 years of hands-on software or test development experience with Python or OOP languages, SQL/NoSQL databases, API testing frameworks (Robot framework), and cloud platforms (GCP/AWS); additional experience with Docker, Kubernetes, Kafka, BigQuery, and Airflow is highly valued. You'll mentor junior engineers and work cross-functionally in an Agile environment.

As a SW Test Development Engineer 2 at Dexcom, you will design, develop, and maintain automated and manual test scripts for CGM software systems, including API and UI testing. You will create verification and validation test plans, traceability matrices, and track issues while collaborating with development teams on root cause analysis.…See more The role requires 2–5 years of hands-on software test development experience with Python or other OOP languages, SQL/NoSQL databases, API testing frameworks (including Robot Framework), and cloud platforms (GCP/AWS). You will also mentor junior engineers and contribute to release process improvements.

Staff Software Engineer driving significant technology initiatives end-to-end across multiple architectural layers at Intuit. Architect and develop scalable, secure, maintainable applications using microservices, containers, and cloud platforms while proactively integrating AI technologies.…See more Mentor junior engineers on software engineering best practices, AI integration, and technical expertise. Launch AI integrations in production, evaluate impact using metrics, and stay abreast of industry best practices to solve critical customer problems.

Lead an enterprise architecture team at a government IT modernization company, reporting to the CTO/CISO. Partner with executive leadership to develop technology strategy, govern technical standards across cloud, data, integration, infrastructure, security, and AI/automation, and oversee architectural quality and compliance.…See more Mentor technical teams, manage multiple concurrent projects, and ensure architectural decisions align with business objectives and zero-trust/NIST security principles.

Staff Software Engineer driving significant technology initiatives end-to-end across multiple architecture layers at Intuit. Responsible for architecting and developing scalable, secure applications using microservices and cloud technologies, with a focus on integrating AI models (LLM prompting, AutoML) into production systems.…See more Will mentor junior engineers on software best practices and AI integration, evaluate AI performance metrics, and stay current with emerging technologies. Requires 7+ years delivering enterprise-class applications with strong full-stack capabilities spanning front-end (JavaScript), mid-tier (Java), databases (SQL/NoSQL), and cloud/container platforms (Kubernetes, cloud environments).

Build production AI features and services using foundation model APIs, retrieval-augmented generation (RAG), and agentic workflows. You will implement scalable microservices in Python or Java, develop evaluation and quality frameworks for AI systems, and collaborate across teams to integrate AI capabilities into enterprise workflows.…See more The role requires hands-on applied AI experience, strong backend or platform engineering skills, and familiarity with vector databases, LLM orchestration tools, and cloud infrastructure.

Software Development Engineer role focused on designing and building scalable cloud-native solutions using microservices architectures in a distributed computing environment. The engineer will write clean, maintainable code, participate in code reviews, and leverage GenAI/AI-powered tools to enhance development productivity.…See more Responsibilities include building resilient systems, practicing CI/CD principles, participating in on-call duties, and demonstrating operational excellence through monitoring and troubleshooting production issues. The role requires experience with data structures, algorithms, object-oriented design, and at least one general-purpose programming language (Java, Python, C++, C#, Go, Rust, or TypeScript).

com, responsible for architecting and developing a high-performance, scalable web platform that drives prospect-to-customer conversion. You will mentor a team of engineers, design and implement user experiences and Kubernetes services, and serve as the technical subject matter expert across a hosted authoring environment, administrative UIs, and runtime application UI generation.…See more vironment, administrative UIs, and runtime application UI generation. The role requires 8+ years building enterprise cloud-native applications, strong leadership abilities, and deep expertise in JavaScript/React, microservices architecture, and the full software development lifecycle.

com, a high-traffic marketing website serving millions of prospects. Responsible for designing scalable, performant web platforms with hosted authoring environments, administrative UIs, and runtime application UI generation.…See more ed authoring environments, administrative UIs, and runtime application UI generation. Will mentor engineers, architect microservices and APIs (REST/GraphQL), drive experimentation capabilities, and guide technical decisions across the full software development lifecycle.

Staff Software Engineer responsible for driving significant technology initiatives end-to-end across multiple architecture layers, designing and developing scalable, secure applications that solve critical customer problems. The role requires architecting microservices-based systems, integrating AI technologies (LLMs, AutoML) into production applications, and mentoring junior engineers on software best practices.…See more Candidates must have 9+ years of enterprise application development experience with proficiency in JavaScript, Java, Kubernetes, SQL/NoSQL databases, CI/CD pipelines, and practical AI integration skills including LLM prompting and production performance monitoring.

Senior Forward Deployed Engineer responsible for building and deploying GenAI/LLM-powered solutions on AWS, working directly with enterprise clients to translate business needs into production AI systems. The role requires 5+ years of software/data engineering experience, 1+ years hands-on with AWS AI&Data services (Bedrock, Neptune, OpenSearch), and the ability to lead technical workstreams while mentoring team members.…See more You will prototype solutions, develop scalable AI patterns with human-in-the-loop controls, write production-quality code with strong testing and CI/CD practices, and create reusable assets including code libraries and reference implementations. 50% travel required.

Forward Deployed Engineer who partners with enterprise clients to identify business needs and prototype production-grade GenAI/LLM solutions on AWS. Designs and builds AI-enabled agentic platforms, workflows, and scalable engineering patterns using AWS AI&Data services (Bedrock, Neptune, OpenSearch).…See more Delivers production-quality code with strong testing, CI/CD, logging, and documentation practices while mentoring team members and translating complex business problems into technical AI solutions.

Senior Software Engineer responsible for designing, building, and maintaining secure, fault-tolerant distributed systems for sequencing data transfer, storage, and management. Contribute to CI/CD pipelines, evaluate component designs, collaborate across software teams, and drive innovation while troubleshooting complex customer issues.…See more Required expertise in C# and .NET/Core with 5+ years of software development experience; strong background in distributed systems patterns, testing frameworks, and quality practices essential.

As an Anthropic Forward Deployed Engineer, you will embed with government and public services clients to identify business needs and rapidly prototype GenAI-enabled solutions using Claude and related Anthropic technologies. You'll build production-quality AI solutions, agentic platforms, and workflows while working independently and collaborating with senior stakeholders to drive measurable business impact.…See more The role requires 4+ years of software/data engineering experience, 1+ years hands-on with GenAI/LLM solutions, and demonstrated expertise with Anthropic's platform technologies including Claude API, tool use, and extended thinking. You'll develop scalable AI patterns, contribute reusable assets, and mentor team members while balancing quality, safety, latency, and cost considerations.

Lead the design and delivery of enterprise AI platforms and applications on Google Cloud, leveraging Vertex AI, Gemini, and cloud-native technologies. Design, fine-tune, and govern LLM solutions; build RAG and agentic systems; and define end-to-end architectures spanning data pipelines, feature engineering, model lifecycle, APIs, and MLOps/LLMOps.…See more Architect cloud-native applications on GKE, Cloud Run, and managed services while implementing security, governance, and production-grade monitoring for AI/ML systems at scale.

Senior Microsoft Forward Deployed Engineer who will design, build, and deploy GenAI/LLM-powered solutions for government clients, translating business problems into production-grade AI systems. The role requires 7+ years of software/data engineering experience, 1+ years hands-on with GenAI/LLM solutions, and deep expertise in Microsoft Azure (AI Foundry, OpenAI, AI Search), Python/TypeScript/C#, and Copilot extensibility.…See more You will lead project workstreams, work directly with client technical teams in fast-paced environments, and mentor others while building reliable, maintainable, well-documented code. 50% travel required.

The AI Architect II is a senior technical leadership role responsible for establishing architectural standards and patterns for AI solutions, including RAG pipelines, agentic workflows, and model serving. The role involves designing scalable AWS cloud architectures, defining MLOps practices, implementing responsible AI governance, and translating business requirements into enterprise AI and cloud strategies.…See more The position requires hands-on technical expertise to evaluate and integrate AI/ML services, lead systems design across microservices and event-driven architectures, and mentor engineering teams on cloud and AI best practices. This role drives technology decisions with real business impact while modernizing the company's platform through cloud-native and AI transformation initiatives.

As a Datacenter AI Systems and Solutions Engineer at Qualcomm, you will research, develop, and optimize end-to-end AI/ML solutions that integrate Qualcomm's AI inference accelerators with system software and ecosystem components. You will lead the design and deployment of production-ready Generative AI and LLM applications, perform model benchmarking and performance analysis, and serve as a technical lead for customer engagements on AI model optimization and inference tuning.…See more The role requires deep expertise in AI systems architecture, MLOps practices, and large-scale distributed systems, with hands-on proficiency in Python, ML frameworks, containerization, and orchestration platforms. You will drive system-level requirements, hardware/software co-design, and influence product direction through performance analysis and optimization strategies.

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on scalable, marketplace-ready platforms across the Software Development Lifecycle. You'll develop high-quality backend services and APIs, integrate AI/ML technologies including LLMs and agentic AI, and collaborate with cross-functional teams on Teradata's AI platform.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platforms, with strong proficiency in Java, Go, or Python, and hands-on expertise in RESTful APIs, SQL/NoSQL databases, Kubernetes, and cloud platforms. You will also mentor engineers and stay current with emerging AI/ML and cloud-native technologies.

js, or Java to support high-throughput applications. Architect and optimize relational (PostgreSQL) and NoSQL (Redis) databases, deploy containerized services on AWS/GCP using Docker and Kubernetes, and build CI/CD pipelines with comprehensive automated testing.…See more ker and Kubernetes, and build CI/CD pipelines with comprehensive automated testing. Monitor production systems, troubleshoot incidents, and collaborate cross-functionally to deliver reliable, low-latency features. Requires 3–6 years of distributed systems experience and proficiency in at least one backend language.

This role involves evolving Qualcomm's Robotic Process Automation capabilities into next-generation agentic automation solutions. The Senior Agentic Automations Engineer will design and deploy AI-driven agents, enterprise chatbots, and workflow engines, leading technical delivery across a global team while integrating RPA platforms like Automation Anywhere with containerized architectures.…See more Key responsibilities include defining automation standards, building full-stack enterprise applications, and ensuring secure integration with enterprise systems using Docker, Kubernetes, and agentic frameworks like LangGraph and n8n.

Design, develop, and optimize machine learning systems for production AI platforms, including model development, inference optimization, and scalable ML infrastructure. Build training-to-deployment pipelines, optimize model serving for latency and cost, and integrate LLMs and generative AI models into microservices and APIs.…See more Develop data pipelines for ingestion, preprocessing, and feature engineering while collaborating cross-functionally with product, platform, and hardware teams to deliver end-to-end ML solutions.