s3 jobs in San Diego

As Full Stack Engineer at Nucleus Biologics, you will develop and maintain software tools for scientists and manufacturing teams. Responsibilities include managing AWS infrastructure (EC2, RDS), maintaining Docker containers and Nginx, handling PostgreSQL schema and migrations, developing Python backends with FastAPI/Django/Flask, building React/TypeScript frontends, and resolving customer and internal issues.…See more You need strong production experience across the full stack: Python with modern web frameworks, React with current data-fetching patterns, PostgreSQL administration, and hands-on DevOps with Docker, Linux, and AWS.

Staff Software Engineer to architect and lead Intuit's next-generation One Logging system, designing high-scale, mission-critical logging pipelines for on-premise and public cloud (AWS, GCP) deployments. Own end-to-end platform evolution from log ingestion through routing, storage, and cost optimization, including components like FELS, Kinesis/CloudWatch integrations, and Log Router.…See more Lead modernization of legacy tooling, design edge collection agents (Fluent Bit, OIL sidecar), and drive automation initiatives using MCP Server capabilities. Provide technical leadership, mentorship, and cross-functional collaboration to align logging platform capabilities across the organization.

The System Administrator Expeditionary Systems (OpAI) will maintain and integrate AI capabilities into Naval expeditionary systems, including sensor kits, unmanned systems, C2 platforms, and TAK. Daily responsibilities span hands-on troubleshooting of network connectivity and Linux systems, updating edge servers, testing machine learning capabilities, and ensuring high-quality data flow between tactical systems.…See more The role requires 3+ years of experience in system administration, data engineering, or related fields, with intermediate Linux proficiency, familiarity with edge servers and containerization (Docker, Kubernetes), and experience with tactical data pipelines. The successful candidate will collaborate with engineers, ML specialists, and data teams to integrate cutting-edge AI solutions while supporting operational forces.

Senior Software Engineer working on AI-integrated expeditionary systems for the Navy, designing and deploying tactical data pipelines that connect sensors, unmanned systems, and command-and-control platforms. Requires 10+ years in software engineering, data engineering, or related roles, with expert Python skills, containerization experience (Docker/Kubernetes), and hands-on expertise in tactical data formats, event streaming platforms, and system integration.…See more Will collaborate with ML engineers, data engineers, and systems engineers to normalize tactical data, integrate machine learning models, and ensure robust data flow in field-tested operational environments.

The System Administrator Expeditionary Systems (OpAI) will maintain and troubleshoot tactical systems integrating AI capabilities into Naval expeditionary platforms, including sensors, unmanned systems, and command-and-control infrastructure. Daily responsibilities span hands-on system administration (Linux, edge servers, software updates), testing machine learning capabilities in field environments, and collaborating with engineers to deploy and monitor data pipelines connecting tactical systems.…See more The role requires 3+ years in system administration, data engineering, or related technical fields, with intermediate Linux command-line proficiency, familiarity with containerization (Docker, Kubernetes), edge computing platforms (Jetson Nano, DGX), and troubleshooting of tactical data architectures. The candidate will work closely with machine learning engineers, data engineers, and software engineers to ensure performant, reliable data flow across integrated systems.

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.

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.

SAIC seeks an experienced System Administrator to maintain and integrate AI capabilities into expeditionary systems for the Navy, including sensors, unmanned systems, command-and-control, and TAK. The role combines hands-on administration (Linux systems, edge servers, software updates, network troubleshooting) with collaboration on machine learning integration, data pipeline monitoring, and tactical system testing at field exercises.…See more The candidate will work across cross-functional teams—including ML engineers, data engineers, and software engineers—to deploy and validate high-performance data flows in operational environments. Requirements include 2+ years in a related technical role (sysadmin, data engineer, software engineer, or similar), intermediate Linux command-line proficiency, familiarity with containerization (Docker, Kubernetes) and edge GPUs (Jetson Nano, DGX), and experience with tactical system troubleshooting and data pipeline deployment.

SAIC seeks a Cloud DevOps Engineer to design, build, and operate mission-critical cloud infrastructure on AWS and Kubernetes/OpenShift platforms in support of Naval Operational Architecture. The role combines infrastructure-as-code (CloudFormation, YAML), container orchestration, Linux/Windows server administration, networking, scripting (Bash, Python, PowerShell), and cybersecurity hardening (STIGs, ACAS).…See more You will work across cyber, networking, and development teams to deliver resilient, secure, and highly available cloud environments while maintaining compliance and system uptime.