s3 jobs in San Diego

ServiceNow is hiring a Staff Software Engineer to design and optimize data persistence infrastructure for the ServiceNow platform. You will write highly scalable code managing data lifecycles, data loss detection and recovery, and distributed storage systems, while collaborating with cross-functional teams on data architecture and telemetry.…See more The role requires 8+ years of software development experience (or equivalent with advanced degrees), deep expertise in Java, concurrency, relational databases, Kubernetes, and distributed systems like S3 and Apache Iceberg.

Cloud Engineer III will deploy, configure, administer, and troubleshoot cloud-based compute, storage, networking, and application infrastructure on AWS and Kubernetes. The role requires hands-on expertise in Linux systems administration, containerized applications (Docker/Kubernetes), cloud networking, IAM, security hardening, and observability platforms.…See more Responsibilities include supporting production Kubernetes clusters (EKS), implementing Infrastructure as Code (Terraform/CloudFormation), integrating CI/CD pipelines, automating administration with Python/Bash, and troubleshooting complex issues across cloud, container, and application layers. The position demands strong security practices, compliance knowledge for government environments, and collaboration with cross-functional technical and operational teams.

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.

System Administrator II responsible for provisioning, configuring, and sustaining AWS services (EC2, S3, VPC, Event Bridge) and on-premises infrastructure. The role requires developing Infrastructure as Code using Ansible, maintaining system patches per STIG compliance, scanning and remediating vulnerabilities with ACAS, and administrating Windows and Linux workstations and servers.…See more The candidate will support CI/CD workflows, monitor resources, and maintain comprehensive technical documentation while ensuring system architecture components integrate seamlessly.

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.

The DevOps Engineer owns the design, deployment, and operation of production infrastructure at scale across AWS and Kubernetes, with responsibility for CI/CD pipelines, observability, and incident response. The role requires hands-on expertise in AWS services (EC2, EKS, VPC, IAM, S3, RDS), Kubernetes cluster operations, Terraform-based infrastructure-as-code, and monitoring tools like Prometheus and Grafana.…See more You will automate operational workflows with Python, Go, or Bash, lead incident investigations, and partner with software engineers and SREs to improve release velocity and system reliability. 3–8 years of DevOps, SRE, or platform engineering experience is expected.

Cloud Engineer III will design, deploy, and sustain secure cloud solutions across AWS, Azure, and government cloud environments (GovCloud, Azure Government) for mission-critical defense applications. The role requires deep expertise in cloud architecture, distributed systems, Infrastructure as Code, CI/CD pipelines, DevSecOps, containerization (Docker, Kubernetes), and cloud-native patterns.…See more You will work across cross-functional teams including engineers, cybersecurity personnel, and government stakeholders to architect hybrid cloud, edge-to-cloud, and enterprise platform solutions meeting DoD compliance standards (Impact Levels, Zero Trust, RMF, STIGs). Responsibilities include automating infrastructure, configuring security controls, managing cloud networking and identity, and communicating technical decisions and risks to technical and executive audiences.

VP-level Cloud Delivery Architect responsible for designing reliable, scalable, and secure AWS infrastructure solutions for LPL Financial. The role requires deep expertise in AWS services (Lambda, Glue, RDS, Step Functions, EC2, S3, ECS, EKS, etc.), infrastructure-as-code (Terraform), and cloud security/IAM to lead architecture design, perform systems analysis, and provide technical guidance to cross-functional teams.…See more Must balance fast-paced startup-like execution with formal change control, develop reference architectures, and mentor on best practices across on-premises and cloud environments.

This role manages continuous software sustainment and operational support for production systems in secure, multi-domain defense environments. You will perform tier 2/3 technical support, proactive vulnerability management, and technical debt remediation while executing zero-downtime deployments using Agile methodologies (Scrum, Kanban, SAFe).…See more You must maintain DISA STIG compliance, implement Risk Management Framework controls, and support Authority to Operate (ATO) activities. The position requires hands-on expertise with Linux and Windows Server administration, shell scripting (Bash/Python/Ansible), virtualization, SIEM/security monitoring, and DoD 8140 cyber workforce certifications.

The Bioinformatics Test Engineer will design and execute comprehensive testing strategies for NGS (Next Generation Sequencing) data pipelines, including alignment, variant calling, and annotation workflows. Responsibilities include data validation, regression testing, automated test script development in Python, and collaboration with CI/CD pipelines and cloud-based systems.…See more The role requires deep knowledge of NGS file formats (FASTQ, BAM, VCF), proficiency in Python scripting, hands-on experience with Git and CI/CD tools, and familiarity with cloud platforms (AWS/GCP/Azure) to ensure data accuracy and pipeline reliability.

Senior Staff Software Engineer owning the secure manufacturing pipeline for humanoid robots—from bare-board provisioning through cryptographic enrollment and OTA readiness. You'll design secure manufacturing stations (HSM, key injection, AWS Private CA), build provisioning automation toolchains, manage End-Of-Line test frameworks, and bridge firmware/secure-boot teams with the cloud control plane.…See more Requires 10+ years in manufacturing engineering with deep test-tool development, 3+ years at Staff level, and proven expertise in PKI, device identity, AWS infrastructure, secure boot chains, and embedded Linux systems.

As a Full Stack Engineer at Nucleus Biologics, you will develop and maintain software tools for scientists and manufacturing teams. Responsibilities include EC2 and RDS administration, Docker container lifecycle management, PostgreSQL database maintenance, monitoring ERP/QMS sync jobs, and resolving customer and internal issues.…See more You'll need strong Python (FastAPI/Django/Flask), React/TypeScript, PostgreSQL, and practical DevOps skills with AWS (EC2, RDS, S3), Linux, Docker, and Nginx.

The MLOps Engineer II designs, develops, and operates scalable machine learning infrastructure and deployment pipelines on AWS, working with data scientists and cloud engineers to productionize ML models. Responsibilities include building ML pipelines using SageMaker, Lambda, Step Functions, and S3; implementing CI/CD pipelines with GitHub and AWS tools; developing Infrastructure-as-Code using CloudFormation, Terraform, or AWS CDK; and ensuring production ML systems are reliable, secure, and cost-efficient.…See more The role requires strong Python coding skills, hands-on AWS experience, production ML deployment experience, and the ability to independently implement technical solutions. Candidates will also lead FinOps optimization, implement monitoring and alerting, ensure security and compliance, and mentor junior engineers.

Staff IT Cloud Engineer at Qualcomm responsible for designing, implementing, and operating enterprise cloud environments across AWS, OCI, and Azure. Establish CI/CD/GitOps operating models, manage Kubernetes platforms, drive cloud governance and FinOps practices, and mentor engineers on infrastructure modernization and platform reliability.…See more Requires 10+ years of cloud/DevOps experience with advanced Terraform, Kubernetes, and enterprise cloud platform expertise; strong hands-on background in AWS, OCI, or Azure with deep understanding of cloud networking, security, and observability.

As a Staff Data Engineer on Dexcom's Commercial Data Science & Revenue Operations team, you will design and operate the company's commercial data platform on AWS, building pipelines that ingest from 12+ vendor sources, transform data, and deliver analytics-ready datasets to data scientists, analysts, and 300+ field representatives. You will own AWS-native development using Lambda, Glue, CDK, Step Functions, and Redshift, with responsibility for data quality frameworks, alerting systems, warehouse schema design, and governance compliance.…See more The role requires hands-on proficiency in Python, SQL, AWS architectures, and CI/CD practices, along with experience building observability infrastructure and working with healthcare compliance requirements like HIPAA. You will also mentor team members and partner with business stakeholders to translate data capabilities into strategy.

Cloud Engineer II supporting DevSecOps pipeline implementation, CI/CD workflows, automated security scanning, container deployment, and secure software delivery. Will assist with cybersecurity compliance activities including RMF documentation, Zero Trust alignment, vulnerability remediation, and audit-ready technical artifacts.…See more Requires 9+ years experience (or 7+ with Master's, or 4+ with PhD/JD), active Secret clearance, and ability to obtain TS/SCI. Must coordinate across architects, engineers, developers, cybersecurity teams, and government stakeholders to track tasks, troubleshoot issues, and communicate technical decisions and risks.

This Systems Engineer II role focuses on DoD cybersecurity compliance, vulnerability remediation, and production software deployments in defense environments. The engineer will implement DISA STIG compliance, Risk Management Framework (RMF) standards, and maintain continuous security monitoring (SIEM, intrusion detection) across heterogeneous Linux and Windows server environments.…See more The role requires hands-on execution of zero-downtime deployment strategies, Agile/SAFe methodologies, and enterprise virtualization (VMware, AWS), with strong emphasis on Information Assurance and DoD 8140 cyber workforce standards.

As a Cloud Engineer II, you will support DevSecOps pipeline implementation including CI/CD workflows, automated security scanning, configuration management, and container deployment. You'll assist with cybersecurity and compliance activities such as RMF documentation, Zero Trust alignment, vulnerability remediation, and audit-ready technical artifacts.…See more You'll coordinate across architects, engineers, developers, cybersecurity teams, and program stakeholders to track tasks, troubleshoot issues, and communicate status and risks. The role requires 9+ years of experience (or equivalent with advanced degree), an active Secret clearance, and the ability to obtain TS/SCI.

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.

Design and lead hybrid edge-to-cloud architectures integrating tactical edge, on-premises, and cloud environments across AWS GovCloud, Azure Government, and containerized platforms. Architect solutions compliant with DoD cloud standards (Impact Levels 4–6+), Zero Trust, RMF, and multi-classification security requirements.…See more Implement DevSecOps pipelines with CI/CD, Infrastructure as Code, automated security scanning, and secure deployment practices. Provide technical leadership to engineers, developers, cybersecurity personnel, and government stakeholders through architecture reviews, risk identification, and executive briefings.

The Site Reliability Engineer owns the reliability, scalability, and operational readiness of production services running on AWS and Kubernetes. Responsibilities include designing highly available infrastructure with Terraform and managed AWS services, building CI/CD pipelines with GitHub Actions and Argo CD, defining SLOs and implementing observability with Prometheus and Grafana, leading incident response, and automating operational work with Python, Go, or Bash.…See more The role requires 3–8 years of hands-on SRE or DevOps experience, production Kubernetes expertise, strong AWS and infrastructure-as-code knowledge, and proficiency with observability and deployment strategies.

Principal-level individual contributor role leading AI/ML architecture and engineering strategy at scale. Requires 13+ years across ML, data engineering, and distributed systems, with 3+ years shipping production Generative/Agentic AI systems.…See more Hands-on expertise in RAG, vector databases, LLM optimization, agentic orchestration, and MLOps/LLMOps practice. Will set technical direction, own architecture decisions, drive platform initiatives, and raise engineering standards across the organization without direct people-management responsibility.

SAIC seeks a System Administrator for expeditionary systems integration, focusing on AI capabilities across sensor kits, unmanned systems, command-and-control, and TAK platforms. The role involves hands-on troubleshooting of network connectivity and OS updates on Linux edge servers, testing machine learning capabilities in field experiments, and collaborating with ML engineers and data engineers to integrate and monitor tactical data pipelines.…See more Responsibilities include building tactical systems for exercises, ensuring performant data flow between sensors and C2 systems, and working with software engineers to connect data infrastructure to operational systems. Required: 2+ years in system administration, data engineering, ML engineering, or related roles; intermediate Linux command-line proficiency; experience with edge servers, containerization (Docker/Kubernetes), and tactical system troubleshooting.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training a multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated quality-control workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agentic patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Principal Data Platform Engineer responsible for designing and implementing cloud-native data integrations using AWS services (S3, Glue, Lambda) and Snowflake. Builds and maintains data transformation models using dbt, manages Snowflake platform infrastructure, and leads cross-functional collaboration between engineering, analytics, and business teams.…See more Requires 8+ years in data engineering or data platform roles with expert-level Python, SQL, dimensional modeling, and infrastructure-as-code expertise. Acts as a technical mentor and translates business requirements into data architecture priorities.