microservices jobs in San Diego

Lead Forward Deployed Engineer responsible for architecting and delivering LLM-enabled applications (copilots, agentic workflows, assistants) using enterprise AI platforms like Claude, Gemini, or GPT-4o. Drive end-to-end RAG pipeline design, prompt engineering, evaluation frameworks, and data foundations while mentoring junior engineers and enforcing delivery standards across multi-pod engagements.…See more Require 7+ years software/data engineering experience, 1+ year hands-on GenAI/LLM production deployment, and proven ability to lead project workstreams and translate business problems into AI solutions.

This role blends technical presales engineering with hands-on delivery for Deloitte's banking and fintech clients. You'll serve as the technical point of contact for strategic accounts, leading discovery and design sessions, building POCs and demos, and facilitating workshops to help clients adopt cloud-native, event-driven, and AI-powered architectures.…See more You'll need deep Java/Spring Boot expertise, strong microservices and event-driven architecture knowledge (Kafka, CQRS, async patterns), hands-on multi-cloud experience (AWS primary, Azure/GCP secondary), and familiarity with LLM integration and agentic AI frameworks. The role demands you translate between technical stakeholders and executives, own the customer voice back to the product team, and travel 20–30% to client sites.

Director of Software Engineering for the Healthcare Workforce Intelligence (HWI) platform at AMN Healthcare, responsible for leading and developing a multi-disciplined engineering team. Oversees the technology roadmap for the Vendor Management Systems software, drives efficient development workflows using Agile/Kanban/Waterfall methodologies, and ensures quality goals are met.…See more Participates in all aspects of the SDLC including requirements analysis, technical design, development, testing, deployment, and production support. Manages legacy system modernization, vendor relationships, and on-call support escalations.

Forward Deployed Engineer who embeds with clients to identify business needs and translate high-value GenAI use cases into production solutions. Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms, delivering production-quality code with strong testing, CI/CD, logging, and documentation practices.…See more Lead working sessions, prototype solutions, and mentor team members while balancing architecture decisions around quality, safety, latency, cost, and model risk. Requires 3+ years software/data engineering experience, 1+ years hands-on GenAI/LLM deployment, and 1+ years with Microsoft AI & Data (Azure AI Foundry).

Senior forward-deployed engineer at Deloitte GPS responsible for developing scalable AI engineering patterns and production-quality GenAI/LLM solutions for government clients. Must have 7+ years software/data engineering experience, 1+ years hands-on with Palantir (Foundry, AIP, or Maven), and 1+ years building and deploying LLM-powered solutions in production.…See more Role emphasizes architecture balancing quality, safety, latency, cost, and model risk; delivering well-tested, documented code with strong CI/CD practices; and translating business problems into AI solutions while leading technical workstreams.

This is a hands-on Solution Architect role for an AI-enabled Managed Services team, requiring deep technical expertise in designing end-to-end application architectures spanning UI, APIs, services, data, and AI components. The role combines hands-on coding and prototyping with architecture ownership, emphasizing active participation in codebases, AI tool evaluation, and guiding engineering teams through complex technical decisions.…See more Key responsibilities include designing reference architectures for AI patterns (RAG, vector search, prompt orchestration), defining non-functional requirements (performance, reliability, security), architecting CI/CD pipelines, and ensuring production readiness. The ideal candidate has 8+ years of software engineering experience, strong cloud-native and modern application architecture knowledge, practical AI feature development, and comfort working directly in code and infrastructure.

A forward-deployed engineer who embeds with enterprise clients to identify business needs and build production-grade AI solutions using Palantir platforms (Foundry, AIP, Maven). The role combines solution engineering—developing agentic AI systems, LLM-powered workflows, and scalable patterns with strong testing and CI/CD practices—with client engagement and stakeholder alignment.…See more Requires 3+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir; involves 50% travel and mentoring of junior team members.

Design and build secure cryptographic services—including key management, PKI, and secrets distribution—for a large-scale multi-tenant SaaS platform. Apply ML/AI techniques to detect cryptographic misuse and anomalies in near real time.…See more Operate services on Kubernetes, manage CI/CD pipelines, and respond to security incidents. Requires 4+ years of production software engineering experience, advanced knowledge of distributed systems and cryptographic primitives, and demonstrated security-conscious coding practices.

This role blends data science expertise with hands-on automation engineering to design and deploy intelligent process automation solutions across business units. You will build, train, and validate both classical ML and LLM-based models — including fine-tuning and RAG — and architect end-to-end systems connecting CRM, APIs, and AI services on AWS infrastructure.…See more Responsibilities span solution design, CI/CD implementation with Jenkins, Python development, agentic AI capabilities, and business translation, with emphasis on measurable business outcomes and compliance.

Full Stack Engineer with 8+ years of hands-on experience building scalable web applications using React, Node.js, and TypeScript. You will design and integrate RESTful APIs and microservices, work with relational and NoSQL databases, and deploy cloud-native solutions on Azure.…See more Strong expertise in CI/CD pipelines, Docker, Kubernetes, automated testing, and system optimization in fast-paced environments is required.

Design and build secure cryptographic services (key management, PKI, secrets distribution) for ServiceNow's multi-tenant SaaS platform, ensuring FIPS compliance and regulated-environment requirements. Apply ML/statistical techniques to detect cryptographic misuse, anomalies in key usage, and suspicious access patterns in near real-time.…See more Operate services on Kubernetes, manage CI/CD pipelines, handle on-call duties, and collaborate with security architects to translate compliance requirements into production code. Requires 4+ years of production software engineering (Java, Go, or equivalent OO language), deep knowledge of distributed systems and cryptographic primitives, and hands-on Kubernetes deployment experience.

Design, build, and operate secure, scalable DevOps platforms at enterprise scale, with deep expertise in Kubernetes, Jenkins, Docker, and CI/CD infrastructure. Manage containerized workloads, implement monitoring and observability, provision and operate AWS infrastructure, and ensure platform reliability through incident response and capacity planning.…See more The role requires 3+ years of IT experience (or 5+ without a degree) with strong Linux administration, hands-on Kubernetes and Docker expertise, Jenkins infrastructure administration at scale, and CI/CD platform knowledge. This is a hands-on engineering role focused on platform reliability, security hardening, and developer enablement.

Systems Network Engineer II will design, configure, and troubleshoot Layer 2/3 networks, firewalls, VPNs, and network security controls in cloud and on-premises environments. The role requires strong foundational networking skills including TCP/IP, routing, switching, VLANs, and hands-on troubleshooting of connectivity and performance issues.…See more The engineer will document network topology, maintain security posture through hardening and access controls, and collaborate with cloud, cybersecurity, and infrastructure teams. Preferred experience includes cloud networking (AWS/Azure/GCP), Kubernetes/container networking, infrastructure automation (Terraform/Ansible/Python), and Zero Trust architecture.

Build production AI features and workflows powered by large language models, including retrieval-augmented generation (RAG), agentic orchestration, and tool/function calling integrations. You will design and implement scalable microservices in Python or Java that connect foundation model APIs to business data and internal systems, with responsibility for AI quality, evaluation, observability, and safe deployment on AWS.…See more Collaborate with cross-functional teams to prototype solutions, measure outcomes, and move proven capabilities into production while maintaining reliability, security, and auditability.

Senior Software Engineer responsible for architecting and developing scalable, high-performance backend applications and microservices using Python and Linux. You will design and operate containerized environments with Docker and Kubernetes, build automated CI/CD pipelines (GitLab CI/CD, Jenkins, or GitHub Actions), and integrate DevSecOps practices including container scanning and vulnerability remediation.…See more The role requires 7+ years of full-lifecycle software engineering experience, 5+ years with Docker/containerization, 3+ years with Kubernetes orchestration, and the ability to maintain an active Secret security clearance.

This is a 10-week summer internship where students will work with senior architects to design cloud and AI solutions for San Diego County services. Interns will create system diagrams, architecture patterns, and AWS-based designs under the AI-DLC framework, learning how enterprise systems are architected before implementation.…See more The role requires understanding of software design and cloud computing fundamentals, with the ability to create technical diagrams and explain design decisions.

Design, develop, and optimize machine learning systems for production AI platforms, focusing on model development, inference optimization, and scalable ML infrastructure. Responsibilities include building ML pipelines and frameworks, optimizing model inference for latency and cost, integrating LLMs into APIs and microservices, and designing data pipelines for preprocessing and feature engineering.…See more The role requires strong software engineering fundamentals combined with deep ML expertise, working across PyTorch/TensorFlow, model-serving systems, distributed computing, and GPU environments.

Design, develop, and optimize production machine learning systems including model development, inference optimization, and scalable ML infrastructure. Build end-to-end ML pipelines from training through deployment, optimize model inference for latency and cost, integrate LLM/ML models into APIs and microservices, and engineer data pipelines for preprocessing and validation.…See more Requires strong software engineering fundamentals with deep ML expertise, proficiency in Python and systems languages, and experience with ML frameworks, model serving, and distributed computing.

Lead end-to-end AI platform architecture and infrastructure at enterprise scale, designing and implementing generative AI capabilities including LLMs, RAG systems, and agentic AI with a focus on model serving, inference optimization, and production deployment. Establish MLOps/LLMOps best practices, build automated CI/CD pipelines tailored for AI/ML applications, and architect vector database integration and cloud AI/ML services.…See more Mentor engineering teams, drive cross-functional collaboration between software, product, and data teams, and continuously evaluate and optimize AI platform performance, scalability, and reliability.

Cloud Engineering Manager leading enterprise cloud infrastructure teams at a credit union, requiring 9+ years of progressive cloud engineering experience with hands-on expertise in Azure, CI/CD, containerization, and infrastructure-as-code. The role combines deep technical work—architecture, troubleshooting, AKS management, database engineering, identity/access management, and cloud security—with team leadership, mentoring, and operational oversight of digital banking services.…See more Must demonstrate proficiency across Docker, Kubernetes, Terraform, monitoring (Datadog), and financial-industry compliance standards while driving DevOps automation and cost optimization.

Software Systems Integration SME responsible for designing, developing, integrating, and sustaining resilient software applications in complex, mission-critical environments. Will provide senior technical leadership, mentor engineering teams, and coordinate across multidisciplinary groups to solve integration challenges across distributed systems, microservices architectures, and modern cloud platforms.…See more Expected to support DevSecOps and Agile practices, analyze system workflows and data flows, and translate complex technical topics for engineering, program, and operational leadership. Experience required in software architecture, requirements-driven design, software development lifecycle, and system interfaces.

Senior technical leader responsible for integrating AI/ML systems into secure, scalable DoD-compliant environments. Will architect AI system deployments, establish DevSecOps practices, ensure compliance with RMF/NIST 800-53/DISA STIG standards, and provide technical guidance across engineering teams.…See more Requires deep expertise in AI/ML production systems, containerization, CI/CD, and cybersecurity controls, with hands-on experience in Python, Kubernetes, and modern infrastructure tooling.

Technology Manager reporting to a chief technology officer, responsible for defining enterprise architecture strategy, governing technical standards across applications, data, infrastructure, security, and AI/automation. Oversee architectural solution delivery, lead architecture quality assurance and governance, and manage a technical team while balancing multiple concurrent projects.…See more Translate business objectives into scalable, secure, cloud-native designs aligned with zero-trust principles and NIST controls.

Manager of a software engineering team responsible for executing team vision, strategy, and roadmap while managing multiple engineers or other managers. The role requires 6+ years in software development, 2+ years of people management experience, and technical fluency with Java, Kotlin, microservices, and optionally React/React Native.…See more Success depends on balancing priorities across projects, mentoring and empowering teams, influencing technical decisions, and driving continuous improvement in agile environments.

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