s3 jobs in San Diego

Senior Software Engineer role at CoStar focused on designing and building production applications using C# and .NET on AWS cloud infrastructure. The position emphasizes leveraging Claude AI for code generation, refactoring, and analysis, while building and operating scalable, cloud-native solutions.…See more Requires strong AWS hands-on experience (EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch), API and backend service development, and solid software design principles. Preferred qualifications include Databricks experience, microservices/distributed systems knowledge, CI/CD and DevOps practices, and Infrastructure-as-Code tools like Terraform and CloudFormation.

CoStar seeks a Senior Software Engineer to design and build production applications using C# and .NET on AWS, with hands-on experience leveraging Claude for AI-assisted development. The role focuses on building scalable, cloud-native solutions and involves building APIs, backend services, system design, code reviews, and mentoring.…See more Required skills include strong C# and .NET expertise, hands-on AWS experience (EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch), Git workflows, and software design principles. Preferred qualifications include practical Claude experience, Databricks, microservices, CI/CD pipelines, and infrastructure-as-code tools like Terraform or CloudFormation.

Python developer role focused on building and maintaining serverless AWS applications using Lambda, S3, and DynamoDB, with responsibilities spanning infrastructure automation, security (IAM, credential rotation), monitoring (CloudWatch, Splunk), and test automation using BDD frameworks. Requires 2 years of Python/Django development experience, 2 years as a software engineer or consultant, and familiarity with Social Capital Report Platform maintenance.…See more The role involves cross-regional failover implementation, legacy codebase refactoring, and API quality assurance across multiple environments.

Cloud Engineer III providing technical leadership on cloud architecture, DevSecOps, and infrastructure across AWS, Azure, and on-premises environments. Designs and implements secure, compliant cloud solutions aligned with DoD standards (Impact Levels 4–6+, Zero Trust, RMF) and leads architecture reviews, deployment pipelines, and cross-functional technical planning.…See more Requires 10+ years of cloud architecture, platform engineering, and DevSecOps experience plus Security+ certification; will guide engineers, developers, cybersecurity teams, operators, and government stakeholders on complex infrastructure, containerization, and mission assurance.

This is a senior infrastructure and cybersecurity engineering role requiring 10+ years of experience designing, administering, and securing hybrid/cloud infrastructure across Linux, Windows Server, containerized, and private cloud environments. The engineer will implement security controls aligned with NIST SP 800-53, DISA STIGs, RMF, and Zero Trust principles, support DevSecOps pipelines and CI/CD automation, and use scripting, configuration management, and Infrastructure as Code to streamline builds, patching, hardening, and compliance.…See more The role demands collaboration across cybersecurity, software, infrastructure, and mission teams to troubleshoot complex issues, improve security practices, and communicate technical risks and recommendations.

Staff Engineer leading the design and operation of Shield AI's data platform to support autonomous systems, ML workflows, and edge-to-cloud data flows. You will architect distributed storage and compute solutions, build first-party integrations for heterogeneous data sources, and establish operational standards for reliability, security, and observability.…See more The role requires deep expertise in data modeling, API design, distributed systems, Kubernetes infrastructure, and the ability to guide technical direction across autonomy, ML, test, and infrastructure teams.

This role supports cybersecurity engineering and infrastructure security for enterprise, cloud, and classified environments. The engineer will manage vulnerability assessment, system hardening, patching, secure configuration, and DevSecOps pipeline integration across Linux and Windows Server platforms.…See more Responsibilities include compliance support (RMF, ATO, NIST SP 800-53, DISA STIGs), CI/CD security automation, containerized environment hardening, and infrastructure-as-code implementation. Strong technical depth in cloud platforms (AWS/AWS GovCloud), container orchestration, security tooling, and the ability to communicate complex technical and compliance issues to engineering and mission stakeholders are required.

Cloud Engineer II supporting mission-critical cloud infrastructure for defense environments. Responsible for cloud deployment, configuration, troubleshooting, monitoring, and modernization across enterprise, hybrid, and containerized hosting environments.…See more Must demonstrate expertise in infrastructure automation, scripting, and Infrastructure as Code; familiarity with cloud networking, identity, compute, storage, security, and monitoring; and understanding of cybersecurity, access control, and compliance. Will collaborate with engineers, cybersecurity personnel, operators, program managers, and government stakeholders.

AI Architect role requires designing and delivering enterprise-scale AI/ML solutions on AWS, with 5–7 years of cloud experience and 2–3 years hands-on with LLMs, agentic frameworks, and AI/ML services. The position demands deep expertise in AWS AI services (Bedrock, SageMaker, Kendra), orchestration frameworks (LangChain, LangGraph), RAG pipelines, MLOps tooling, and responsible AI principles.…See more Candidates must architect scalable, cost-optimized solutions integrating AI with cloud infrastructure, data platforms, and microservices, and communicate complex technical concepts to executive and technical audiences.

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.

Design and own the secure manufacturing pipeline that provisions humanoid robot devices from bare boards through cryptographic enrollment and OTA readiness. You'll architect the hardware, software, and network stack for factory floor provisioning stations (HSM, key injection, AWS Private CA), build the automation toolchain for identity provisioning and firmware flashing, and work with contract manufacturers to threat-model supply chain security and maintain chain of custody across serial numbers, credentials, calibration, and test results.See more