aws jobs in San Diego

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.

Design, deploy, and manage enterprise backup solutions for Navy mission systems with primary responsibility for Commvault administration. Support backup and restore workflows across Windows Server and VMware vSphere environments, automate routine operations with PowerShell, and troubleshoot production issues.…See more Requires 8+ years of enterprise backup platform experience with hands-on Commvault administration, 5+ years supporting Windows Server networks, and 2+ years operating VMware vSphere environments.

Senior Software Engineer serving as an OpenShift Subject Matter Expert on the Agile Core Services team. Responsibilities include training the development team on OpenShift deployment and container-native application development, managing the container platform ecosystem (installation, upgrade, patching, monitoring), designing and implementing infrastructure services for data mediation and orchestration, and supporting DevSecOps and operational tasks.…See more Requires 6+ years of software engineering experience, 4+ years hands-on with containerized applications and container orchestration platforms, proficiency with Red Hat Enterprise Linux, Ansible, and Python, and an existing US security clearance.

Information Security Engineer III will lead security architecture reviews and threat modeling for data, analytics, AI, and cloud initiatives at an insurance company. The role involves designing and implementing security controls for AWS data platforms and AI/ML workloads, providing oversight of LLM usage and emerging AI threats, and mentoring engineering teams on secure development practices.…See more You will partner with Engineering, Cloud, Data, and Operations teams to embed security into system design, manage compliance with NIST, NYDFS, PCI DSS, and CPRA/CCPA standards, and evaluate third-party vendors and security tools. The position requires 8+ years of security engineering experience, 3-5 years in AWS cloud security, and expertise in threat modeling, risk assessment, and incident management.

Senior or intermediate-level business applications analyst supporting airport operations through enterprise system configuration, requirements development, and business process integration. The role involves designing specifications for business systems, developing and testing reports using Power BI or Crystal Reports, supporting ERP platforms like PMWeb or Oracle JD Edwards, and troubleshooting complex system challenges.…See more Candidates should have 3–5 years of progressively responsible experience with business applications, SQL, and enterprise platforms; senior-level candidates provide technical guidance and work with greater autonomy on complex assignments.

The Business Applications Analyst will develop requirements and design specifications for enterprise business systems, support testing and report development using tools like Power BI and Crystal Reports, and troubleshoot complex system challenges across airport operations. The role involves configuring and testing ERP applications (such as PMWeb), designing end-to-end business processes, and creating integrations and automation solutions.…See more The Senior level requires greater independence, technical leadership, and mentorship of team members. This is a hands-on role requiring a computer science or MIS degree and progressively responsible experience with enterprise application development and business systems.

A forward-deployed engineer who builds and deploys AI/GenAI-powered solutions on Databricks and cloud platforms for forensic discovery and financial crime clients. The role requires hands-on expertise in Databricks, cloud services (AWS/Azure/GCP), and production AI/LLM systems, combined with the ability to lead client engagements, translate business requirements into technical architectures, and troubleshoot integration issues across enterprise environments.…See more You will design reusable assets, document workflows, and enable client teams to sustain delivered solutions while navigating security, compliance, and privacy reviews.

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.

Sr. Engineer responsible for designing, building, and deploying production-grade AI platforms and solutions centered on LLMs, RAG, and agentic workflows.…See more The role spans full-stack development—from backend services and APIs to cloud-native infrastructure on Kubernetes—with emphasis on enterprise search, retrieval optimization, and AI application integration. Must have strong programming skills across Python, Java, C#/.NET, Rust, TypeScript/JavaScript, and proven experience architecting and operating scalable, production-ready AI systems.

Senior Control Plane Software Engineer responsible for designing and developing distributed services for Software Defined Networking (SDN), ground segment, and satellite operations. The role combines control plane architecture expertise with cloud-native development (microservices, Kubernetes, Docker) and embedded systems integration across AWS, GCP, and on-premises platforms.…See more Requires 10+ years of software development experience with deep knowledge of SDN, routing/switching protocols, APIs, and distributed systems, plus ability to collaborate across data plane, platform, and embedded teams to ensure reliability and scalability of network software.

As a Staff Cloud Engineer, you will design, build, and operate AWS infrastructure and shared development environments supporting Shield AI's software products. You will use Terraform and infrastructure-as-code tools to automate provisioning, manage containerized workloads on Kubernetes, implement cloud IAM and security controls, and improve observability and reliability across multi-product infrastructure.…See more This hands-on role requires experience with shared cloud infrastructure, container orchestration, regulated environments, and AWS cost optimization.

As a Staff DevSecOps Engineer, you will design, build, and automate security controls across Shield AI's AWS infrastructure, containerized workloads, and CI/CD systems. You'll implement hardened container images, integrate vulnerability and compliance scanning into software delivery pipelines, and manage secrets, identity, and access controls at scale.…See more Working with Cybersecurity, Infosec, and Build Engineering teams, you'll translate security requirements into repeatable, maintainable engineering controls that reduce risk without friction. At the Staff level, you'll define reusable security patterns and drive adoption of security engineering practices across multiple teams.