aws jobs in San Diego

Staff-level data engineer who designs, develops, and maintains scalable ETL/ELT pipelines using Databricks, PySpark, and Python for enterprise analytics and AI use cases. Builds curated data layers following Lakehouse Medallion architecture, develops Databricks-native applications (notebooks, dashboards, APIs), and optimizes Apache Spark workloads for performance and cost efficiency.…See more Owns production data pipelines end-to-end, ensures data quality and reliability, and acts as a technical leader mentoring teams on data engineering best practices and modern Databricks capabilities.

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.

Zensar is seeking an experienced AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The role requires deep expertise in Large Language Models (Claude, Gemini, OpenAI), multi-cloud platforms (Azure, AWS), and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years designing AI/ML solutions.…See more Responsibilities include defining AI strategy and architecture standards, designing end-to-end GenAI systems (RAG, agentic AI, multi-agent systems), architecting secure infrastructure across Azure and AWS, establishing governance and responsible AI frameworks, and leading adoption programs. The ideal candidate will mentor teams, evaluate emerging technologies, and translate business requirements into scalable, production-grade AI systems.

The Backend Engineer will design, develop, and scale core backend services and APIs for high-throughput applications using Node.js, Python, or Go. Responsibilities include architecting relational and NoSQL databases for high availability, building data pipelines and asynchronous processing systems, and deploying cloud infrastructure on AWS with Docker, Kubernetes, and Terraform.…See more The role requires 3–6 years of experience building distributed systems at scale, with deep expertise in database design, caching strategies, and cloud platforms. You'll also own monitoring, performance optimization, and comprehensive testing across unit, integration, and end-to-end scenarios.

Senior DevOps Build Engineer responsible for designing and maintaining CI/CD pipelines, build automation, and artifact management systems across defense and government contract programs. The role owns end-to-end build and release engineering, standardizing compilation, packaging, versioning, and promotion across unclassified and controlled environments while integrating security and compliance checks into the build process.…See more Key responsibilities include pipeline design (GitLab CI, GitHub Actions, Jenkins), artifact repository management, build tooling development (Bash, Python, Bazel, Gradle), container image management, and infrastructure provisioning using Terraform. The position requires 8+ years of build/release engineering or DevOps experience, strong scripting skills, and U.S. citizenship with the ability to obtain a security clearance.

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.

Staff Software Engineer role designing and implementing cloud-native platform components and services, with primary focus on Kubernetes workloads, distributed systems, and infrastructure automation. Requires 5+ years hands-on Kubernetes experience, proficiency in Go or systems languages, and demonstrated expertise building operators, controllers, and platform services.…See more Will lead well-scoped projects from design through production, contribute to reliability and scalability, mentor junior engineers, and participate in on-call operations.

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 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.

Principal Solution Architect driving technical and strategic leadership of LPL Financial's ClientWorks advisor platform. Architect cloud-native, scalable solutions spanning account opening, client management, trading, reporting, and design systems while ensuring security, compliance, and seamless third-party integration.…See more Lead cross-functional teams in modern architecture practices, DevSecOps, and CI/CD automation; mentor development teams and evangelize architectural standards across hybrid enterprise environments.

Lead a team of cloud engineers building the nervous system for Brain Corp's fleet of 30,000+ autonomous mobile robots. Own the platform's reliability, roadmap, and architecture while managing team hiring, onboarding, and career development.…See more Drive high-performance delivery across robot and customer-facing interfaces, balance competing priorities (performance, cost, reliability, scalability), and partner with principal and staff engineers on long-term platform strategy. Stay hands-on enough to make sound architectural decisions and earn senior engineer trust during a period of significant growth.

Lead a team of cloud engineers building the backend platform that powers Brain Corp's global fleet of 30,000+ autonomous mobile robots. Own the platform's reliability, roadmap, and architecture as it scales to support fleet operations and customer-facing applications.…See more Balance hands-on technical leadership with people management—mentor engineers, drive hiring and onboarding, own production reliability and incident response, and partner with principal/staff engineers on distributed-systems architecture. Navigate tradeoffs between performance, cost, reliability, and scalability while shipping features that robots in the field depend on.

Shield AI seeks a Staff Engineer, DevOps to own and maintain the build system for autonomous aircraft (XBAT/VBAT), with deep expertise in C++ and CMake. You will improve developer velocity by reducing build/test cycle times, integrating CI pipelines with HIL and simulation environments, and implementing monitoring and dashboards for build system performance.…See more The role requires 7+ years of industry experience (or 5+ with advanced degree), proficiency with containers/orchestration, scripting, CI/CD tools, and cloud operations across Azure/AWS/GCP. You'll collaborate with software engineers to resolve failures, set best practices, and leverage agentic AI solutions to identify root causes and accelerate development cycles.

Senior Site Reliability Engineer responsible for designing and implementing Infrastructure as Code solutions, managing containerized and serverless architectures, and driving automation to reduce operational toil across large-scale production systems. The role requires defining Service Level Objectives (SLOs), leading incident response efforts, implementing monitoring and logging systems, and collaborating with development teams to ensure reliability and scalability.…See more Requires 5+ years of SRE or cloud engineering experience with deep expertise in Terraform, CloudFormation, Docker, Kubernetes, CI/CD pipelines, and cloud security practices. Must be a US citizen eligible to obtain and maintain an active Secret security clearance or above.

Design, implement, and scale core backend services and APIs using Python, Go, Node.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 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.

The Information Systems Analyst III coordinates the development, testing, implementation, and modification of complex information systems; performs business process analysis and modeling; researches hardware and software solutions to meet requirements; provides technical support to end users; and leads IT activities. The role requires three years of professional-level information systems management experience, including procurement, project management, business process analysis, and technical assistance to users on major systems.…See more Candidates must hold a Bachelor's degree (or equivalent) and have one year of experience at an Analyst II level or higher.

Sr. Director role overseeing SIE's data and AI platform ecosystem, including data infrastructure (streaming, ingestion, warehouse), experimentation platforms, and governance tools.…See more Responsible for defining long-term vision, leading global engineering teams, and ensuring platforms process massive data volumes to deliver insights across gaming, content creation, and enterprise operations. Must drive scalability, cost efficiency, security, and operational excellence while collaborating with senior leadership to align platform strategy with business objectives. Requires proven Sr. Director-level experience and thought leadership in platform architecture, real-time data processing, and ML/AI integration.

Design and implement Infrastructure as Code to automate provisioning, monitoring, and lifecycle management of NoSQL, Streaming, and Caching platforms (Cassandra, Aerospike, Kafka, Redis) across AWS and GCP. Build highly available, self-healing systems with automated failover and scaling, develop comprehensive observability solutions, and lead incident response for critical data platform issues.…See more Drive automation-first practices and apply AI/ML approaches such as anomaly detection and predictive scaling to enhance reliability and reduce manual toil. Partner with engineering and platform teams to ensure resilient infrastructure supporting billions of transactions and millions of players globally.

As a SW Test Development Engineer 2, you will design and build automation tools and frameworks to test Dexcom's continuous glucose monitoring devices and mobile apps (iOS/Android). You will develop in Python or Java to create testing APIs, integrate tools like Jira, Testrail, Slack, and GitHub, and manage end-to-end test suites in CI/CD pipelines.…See more The role requires 2–3 years of software development experience with object-oriented languages, hands-on familiarity with cloud platforms (AWS/GCP), containerization (Docker), and embedded/mobile device automation.

Own and deliver small to medium machine learning system components from design through production deployment, including building data pipelines, training and evaluating models, and implementing MLOps monitoring. Write high-quality Python code to translate technical requirements into maintainable solutions, working with frameworks like scikit-learn, TensorFlow, PyTorch, and HuggingFace.…See more Design and deploy ML models as microservices, APIs, batch jobs, or streaming components on AWS, with responsibility for model performance metrics, data drift detection, and retraining triggers. Collaborate across Data Engineers, Software Engineers, Data Scientists, and product stakeholders to deliver project objectives.

The AI Architect will lead the design, development, and deployment of enterprise-scale generative AI solutions across Azure and AWS, partnering with business and engineering leaders to define AI strategy and architecture standards. The role requires deep expertise in modern LLMs (Claude, Gemini, OpenAI), multi-cloud AI platforms, and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years architecting AI/ML solutions.…See more Key responsibilities include designing end-to-end GenAI solutions leveraging RAG, agentic AI, and multi-agent systems; establishing cloud-native deployment patterns; and defining governance, compliance, and responsible AI frameworks. The ideal candidate will serve as a trusted technical advisor to executives, mentor engineering teams, and drive AI adoption through reusable frameworks and reference architectures.

Senior Network Engineer supporting mission-critical defense network environments at NIWC Pacific. Responsibilities include engineering, integration, testing, and maintenance of complex Combined Test Bed (CTB) network infrastructure, with emphasis on security, STIG compliance, and multi-cloud connectivity.…See more Required skills span enterprise routing/switching, firewall management, cloud networking across AWS and Azure, and network security technologies including Zero-Trust architectures. Must hold or be able to obtain Active Secret clearance and possess DoD 8570 IAT Level II and networking certifications.