aws jobs in San Diego

Senior manager responsible for leading Deloitte's identity and access management (IAM) managed services delivery across multiple client accounts. The role requires 10+ years of IAM experience with 5+ years in managed services or IT operations leadership, hands-on expertise with platforms like SailPoint, CyberArk, Okta, or Entra ID, and the ability to drive service improvement through automation and modernization.…See more Responsibilities include account ownership, executive governance, financial performance management, team mentorship, and business development activities such as contract renewals and proposal response.

Peraton seeks undergraduate and graduate software engineering co-ops to build and prototype software for San Diego County departments from January through August 2027. You'll write code using Python or Java, apply modern AI tools and AWS cloud services, and contribute to real projects modernizing public-sector services through rapid prototyping.…See more The role requires object-oriented programming experience and Git version control, with exposure to generative AI APIs, AWS services (Bedrock, CodeCommit, Lambda), and agile tools like JIRA considered valuable.

As a DevSecOps Engineer II, you will design and implement automation solutions for secure software delivery across multiple environments, managing CI/CD pipelines, cloud and on-premises infrastructure, and integrating security best practices throughout the development lifecycle. You'll perform OS and data platform deployments, configure security features at classified levels, and collaborate with application teams on integration and testing.…See more The role requires 5+ years of DevOps/DevSecOps experience, proficiency with CI/CD tools (Ansible, ArgoCD, GitLab, Helm, Kubernetes, Jenkins, Azure DevOps), and expertise in configuration management, application lifecycle management, and cybersecurity. You must hold or be eligible for a Secret-level security clearance and obtain Security+ and Linux+ certifications within 120 days.

Lead end-to-end AI platform architecture and infrastructure at enterprise scale, designing and implementing generative AI capabilities including LLMs, RAG systems, and agentic AI with a focus on model serving, inference optimization, and production deployment. Establish MLOps/LLMOps best practices, build automated CI/CD pipelines tailored for AI/ML applications, and architect vector database integration and cloud AI/ML services.…See more Mentor engineering teams, drive cross-functional collaboration between software, product, and data teams, and continuously evaluate and optimize AI platform performance, scalability, and reliability.

A DevOps engineer will develop and maintain CI/CD pipelines using Jenkins, GitLab CI, and related tooling; manage container orchestration and deployment at scale with Docker/Podman; develop automation scripts in Python, Bash, and C++; and oversee cloud infrastructure on AWS and Azure. The role requires hands-on experience with Linux, complex software development, test automation, and ongoing support for the development environment including on-prem Jira and GitLab servers.See more

Full Stack Software Engineer with 3+ years of experience designing, developing, and maintaining complex cloud-based software applications for government aerospace/defense missions. The role requires strong hands-on expertise in Java, TypeScript, Spring Boot, and React, with responsibilities spanning backend API development, frontend web applications, system integration, testing, and technical documentation.…See more Must hold active TS/SCI clearance and U.S. citizenship.

Platform Operations Engineer to build and operate healthcare infrastructure on AWS EKS, managing container environments, CI/CD pipelines via GitHub Actions, and observability stacks with Datadog and CloudWatch. Responsibilities include supporting reliability through SLI/SLO tracking, on-call rotations, and incident response; maintaining GitOps workflows with ArgoCD; and writing infrastructure automation in Python.…See more Requires 3+ years SRE/DevOps experience, hands-on AWS (VPC, IAM, EKS, RDS), Terraform or CloudFormation, Kubernetes, and familiarity with observability tools.

Design, develop, test, and maintain scalable enterprise applications with full-stack capabilities across front-end (Angular, TypeScript, Material UI) and back-end (Java, Spring Boot, REST/SOAP APIs). Build responsive user interfaces, develop complex database solutions using SQL and NoSQL, deploy AWS-based services with CI/CD pipelines, and support application modernization efforts including AngularJS-to-Angular migration.…See more Requires 8+ years of enterprise IT experience and hands-on proficiency across the full development lifecycle.

Lead information security engineer responsible for designing and implementing comprehensive security architectures across ICW Group's IT and business technology infrastructure. Will conduct risk assessments, penetration tests, and security compliance reviews; partner with systems engineering and project management teams to ensure secure design throughout the development lifecycle; and lead remediation strategies for identified vulnerabilities.…See more Requires 10+ years of security engineering experience, AWS cloud security expertise (3–5 years preferred), and hands-on proficiency with IDS/IPS, firewalls, SIEM, forensics tools, and endpoint security solutions.

Lead a team of data scientists at Insulet's Analytics Center of Excellence, managing the execution of global analytics and AI initiatives while maintaining hands-on expertise in data science work. You will mentor scientists, guide development of cloud-based analytics pipelines and automated machine learning solutions, and coordinate with cross-functional stakeholders across R&D, clinical, quality, and manufacturing to identify and deliver high-value data science opportunities.…See more The role requires a Master's degree with 5+ years in data science (or PhD with 3+), 2+ years in machine learning/AI, direct team management experience, and proficiency in Python/R, SQL, cloud platforms (Azure/AWS/GCP), and big data technologies like Spark/Databricks. You'll perform statistical analysis, predictive modeling, and communicate insights to executives while owning the data products portfolio and managing annual budgets.

Senior Software Engineer role focused on building and scaling full-stack client and team member-facing applications. Owns features end-to-end from problem definition through design, implementation, deployment, and iteration using Next.js/React frontend with NestJS GraphQL backend on AWS/EKS.…See more Expected to leverage AI tools and agentic workflows as a core part of the development process, collaborating with engineering, product, design, and business teams to translate ambiguous requirements into scalable, maintainable solutions.

Staff Data Engineer at Qualcomm responsible for designing, building, and maintaining scalable batch and streaming data pipelines on AWS and Databricks. Develop reusable data engineering frameworks, libraries, and templates while implementing AI-driven automation for schema inference, data quality checks, pipeline orchestration, and self-healing mechanisms.…See more Lead reliability and operations efforts by defining SLIs/SLOs, participating in incident response, and driving performance tuning and cost optimization. Mentor junior engineers, collaborate across analytics and platform teams, and drive adoption of standardized data frameworks and best practices.

Technology Manager reporting to a chief technology officer, responsible for defining enterprise architecture strategy, governing technical standards across applications, data, infrastructure, security, and AI/automation. Oversee architectural solution delivery, lead architecture quality assurance and governance, and manage a technical team while balancing multiple concurrent projects.…See more Translate business objectives into scalable, secure, cloud-native designs aligned with zero-trust principles and NIST controls.

Junior DevSecOps engineer supporting U.S. Navy modernization efforts, responsible for designing and maintaining CI/CD pipelines, automating infrastructure, and supporting containerized platforms in secure environments.…See more The role involves working with software and cyber engineers to solve delivery problems and adapting to different program needs across diverse technical stacks. Requires minimum 2 years' experience (or equivalent with advanced degree), strong Kubernetes expertise, Secret clearance or ability to obtain one, and CompTI Security+ certification. Must be hands-on with containerization, container orchestration, CI/CD automation, infrastructure-as-code, Linux systems, and scripting.

Senior DevSecOps Engineer supporting US Navy modernization efforts, responsible for designing and maintaining CI/CD pipelines, automating infrastructure, and supporting containerized platforms in secure, regulated environments. You will work directly with software and cyber engineers to solve delivery problems, enabling microservices to be rapidly built, tested, fielded, and integrated to container orchestration platforms.…See more Requires 8+ years of experience (or equivalent with advanced degree), strong Kubernetes expertise, Secret clearance or ability to obtain one, and CompTI Security+ certification.

This role involves conducting comprehensive security assessments of AI systems and deployments, evaluating them against NIST frameworks (AI RMF, CSF, 800-53, 800-171) and other security standards. The consultant will identify AI-specific risks such as prompt injection, model misuse, data leakage, and supply-chain vulnerabilities across cloud platforms (AWS, Azure, hybrid).…See more Responsibilities include developing AI governance frameworks, policies, and controls; assessing AI development environments, model pipelines, APIs, and orchestration layers; and delivering executive-level recommendations and remediation roadmaps. Requires 7+ years of cybersecurity/consulting experience and 3+ years supporting AI/machine learning security initiatives, with strong expertise in AI threat modeling, secure AI deployment, and governance frameworks.

The AVP Tech, Edge Security Engineer designs, builds, and supports highly available enterprise edge infrastructure and security controls using CDN platforms like Cloudflare, Akamai, and Fastly. The role requires architecting edge security standards, performing threat hunting and mitigation, and leading proof-of-concepts for emerging technologies including AI-driven solutions.…See more Responsibilities include collaborating with enterprise and security architecture teams, improving observability and security posture across edge environments, and participating in on-call incident response. Required experience spans 4+ years with edge infrastructure and CDN platforms, 4+ years with enterprise monitoring tools (Splunk, Datadog, Dynatrace, Grafana), global load balancing solutions, enterprise DNS, and infrastructure automation (Terraform, Ansible, Python, Go).

ServiceNow seeks a Staff Software Engineer (IC4) for their Data Platform Engineering organization to design, build, and operate cloud-native platform components and services on Kubernetes at scale. You will own well-scoped projects end-to-end, from design through production, collaborating with senior engineers and mentoring junior team members.…See more The role requires 8+ years of software development experience, 5+ years hands-on with Kubernetes, expertise in at least one major hyperscaler (AWS, Azure, GCP), and strong Go programming skills. You will focus on building operators, controllers, automation, and platform services that other teams depend on, with emphasis on reliability, scalability, operability, and infrastructure-as-code practices.

Senior Staff Software Engineer leading design and delivery of multi-tenant, distributed data platform services on Kubernetes at scale. You will mentor mid-level and junior engineers, architect highly available stateful workloads (databases, message queues, caches), and integrate AI into infrastructure and operational workflows.…See more The role requires 8+ years building production distributed systems, deep expertise in Kubernetes and at least one hyperscaler (AWS, Azure, GCP), and hands-on experience operating services like Postgres, Kafka, or Redis at scale with explicit HA, failover, and durability targets.

Level II Systems Engineer role combining architectural oversight, hands-on server administration, and cybersecurity compliance in a secure defense environment. Responsibilities include continuous software sustainment, zero-downtime production deployments, Linux/Windows enterprise server administration (including VMware vSphere and AWS), Agile methodology application, and DISA STIG compliance enforcement.…See more Requires 3+ years systems engineering experience with modern Agile practices and 2+ years recent operational experience administering scalable virtualized enterprise environments.

Principal Engineer leading AI-native application development across Intuit's products (TurboTax, Credit Karma). Drives end-to-end technology initiatives, designs scalable distributed systems, and applies AI/LLM technologies to customer problems.…See more Requires 8+ years developing software for large enterprises, 5+ years designing complex distributed systems, full-stack development experience with AI tools, and proficiency across front-end (React, Angular, SwiftUI, Kotlin), back-end (Java, TypeScript, Spring, Express), and cloud platforms (AWS, GCP).

Lead large-scale enterprise data transformation programs at Qualcomm, managing multi-year initiatives across data modernization, cloud migration, and analytics platforms. Coordinate work across distributed data engineering, architecture, governance, security, and analytics teams while managing multi-million-dollar budgets and vendor relationships.…See more Drive adoption of modern data architectures (data lakehouse, data mesh, medallion patterns) and cloud platforms (Databricks, AWS, Azure, GCP), and establish federated data governance frameworks. Influence executives and technical stakeholders to deliver measurable business outcomes while handling legacy system retirement and enterprise data integration from CRM, ERP, HCM, and supply-chain systems.

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on AI agents and platforms across the Software Development Lifecycle. You'll develop scalable, reliable systems with strong proficiency in backend technologies (Java, Go, Python), design RESTful APIs, work with SQL/NoSQL databases, and apply AI/ML technologies including agentic AI and LLMs.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platform development, with hands-on expertise in Kubernetes, containerization, and cloud platforms. You will collaborate with cross-functional teams, mentor engineers, and stay current with emerging AI/ML and cloud-native technologies.

LPL Financial seeks a Senior Network Engineer with 10+ years of Data Center Core Network Engineering experience to design, engineer, and operate LAN/WAN and hybrid cloud/on-premises networking solutions. The role requires hands-on expertise in Cisco-centric environments (NDO, ACI, Nexus, Catalyst) and experience with routing protocols (OSPF, BGP), MPLS, DIA, and SD-WAN.…See more Responsibilities include architecting scalable and secure networking solutions, leading migrations and transformation programs, troubleshooting complex issues, and mentoring team members as a technical lead.

Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training, validation, and performance optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) for radar data analysis and optimize models for real-time embedded deployment under latency, memory, and power constraints.…See more Bridge research and production by translating state-of-the-art ML techniques into scalable algorithms for radar-based detection, classification, and tracking, with strong requirements in signal processing, statistical analysis, and Python/PyTorch/TensorFlow proficiency.