amazon-web-services jobs in San Diego

As a Sr Consultant in GCP Cloud Analytics, you will design and implement end-to-end cloud analytics architectures on Google Cloud Platform, supporting clients through full lifecycle data solutions including ingestion, transformation, governance, and analytics enablement. You'll develop optimized cloud-based data solutions using structured and unstructured sources, lead portions of complex technology engagements, and coordinate delivery across geographically distributed teams.…See more The role requires 5+ years of technology consulting or industry experience with GCP, 1+ full lifecycle GCP implementation, 2+ years of SQL and Python, and the ability to lead workstreams with multi-location resources.

Develop scalable AI engineering patterns and production-quality code for government clients, balancing quality, safety, latency, cost, and model risk. Apply strong practices in testing, CI/CD, logging, versioning, and documentation while designing extensible functionality aligned with senior team members.…See more Requires 4+ years of software/data engineering experience, 1+ year building and deploying GenAI or LLM solutions, and 1+ year with Google Cloud (Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration). Lead project workstreams, translate business problems into AI solutions, and contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

Principal Software Engineer leading the Agile Core Services (ACS) Development Team on a mature Platform-as-a-Service solution for defense command-and-control systems. Responsibilities include designing and integrating containerized applications, writing production code, troubleshooting deployments across Navy facilities, mentoring junior engineers, and managing engineering tasking.…See more Must have 12+ years software engineering experience, expertise in container orchestration (OpenShift, Kubernetes, Docker, Helm), cloud platforms (AWS), infrastructure-as-code (Ansible), and Red Hat Enterprise Linux environments.

Build and maintain computational pipelines for sequence analysis and genotyping in HPC and cloud environments, using tools like PLINK, GATK, and BEAGLE. Perform quality control on data inputs and outputs, document work meticulously, and develop new pipelines under supervision by selecting and testing computational approaches.…See more Requires expertise in Bash scripting, bioinformatics software, Linux, cloud platforms (AWS EC2, All of Us Research workbench), and programming languages (R, Python), plus strong written and verbal communication skills.

Software engineer supporting mission-critical DoD systems in secure, containerized environments. Responsibilities include Linux (Red Hat) system administration, container orchestration (Docker, Kubernetes, OpenShift), AWS infrastructure management, PKI administration, and infrastructure automation using Ansible and scripting.…See more The role requires 8+ years in DoD systems engineering, active TS/SCI clearance, DoD 8570 IAT Level II certification, and willingness to travel for shipboard deployments (~10% annually). May lead small teams and mentor junior engineers.

Senior Manager leading cloud security architecture and strategy across AWS, Azure, GCP, and Oracle Cloud for consulting engagements. Oversees technical assessments, solution designs, and security implementations including CNAPP, CSPM, CWPP, IAM, and DevSecOps controls.…See more Manages onshore and offshore delivery teams, mentors practitioners, and contributes to business development and thought leadership. Requires 6+ years in cloud security consulting, 2+ years designing enterprise cloud security architectures, and 3+ years with cloud-native security technologies.

Sr. Site Reliability Engineer responsible for building and improving observability infrastructure, monitoring systems, and reliability patterns across AppFolio's Real Estate Platform.…See more You'll work with engineering teams to implement SLIs/SLOs, diagnose performance issues across the full stack, and manage infrastructure-as-code deployments on Kubernetes and AWS. Strong coding skills (Go, Ruby, or Python) and 5+ years of industry experience required; you'll be on-call and expected to help teams become self-sufficient in reliability practices.