aws jobs in San Diego

Lead the design, development, and operation of Qualcomm's enterprise AI platform, supporting agentic AI, model lifecycle management, and multi-cloud ML/inference infrastructure. Own core platform services including identity/RBAC, secrets, service meshes, observability, vector stores, and model gateways across on-prem GPU clusters and managed cloud services.…See more Manage a ~10-engineer global team (platform, SRE, MLOps/LLMOps), drive incident response and continuous improvement, and partner with product and security teams on AI governance and high-impact use cases.

Design, build, and maintain scalable batch and streaming data pipelines on AWS and Databricks, developing reusable data engineering frameworks and standardized patterns for ingestion, transformation, and validation. Leverage AI-based techniques to automate data quality checks, anomaly detection, and pipeline self-healing.…See more Define SLIs/SLOs, participate in on-call rotations, and mentor junior engineers while driving adoption of data frameworks and best practices across analytics, reporting, and AI/ML teams.

Staff Analytics Engineer responsible for designing and operationalizing agentic AI workflows, ML models, and Databricks applications at scale. Will build multi-step agent pipelines combining rules, ML models, and reasoning to solve complex business problems, then productionize them with monitoring, drift detection, and retraining strategies.…See more Requires 5+ years of hands-on ML engineering or data science with production system ownership, deep Python proficiency, strong traditional ML foundations, and proven Databricks expertise including notebook apps, dashboards, and ML pipelines. Will serve as technical authority, mentor peers, and influence architectural decisions across teams.

Senior IT Engineer responsible for enterprise Slack administration, SaaS platform governance, and integration automation across hybrid cloud and on-prem environments. Build and operate Slack apps, bots, and workflows using the Slack API and Bolt framework; design CI/CD pipelines and infrastructure-as-code for SaaS configuration management.…See more Implement identity protocols (SAML 2.0, OAuth 2.0, OIDC, SCIM) and automate routine SaaS operations using Python and Bash. Provide tier-2/3 support, troubleshoot complex integration issues, and partner with Security and Compliance teams on standards and incident response.

Lead technical architecture and design for banking and payments platforms, guiding engineering teams through standards, design reviews, and build activities to deliver secure, scalable systems. Collaborate with client and Deloitte stakeholders to align architecture decisions with program objectives.…See more Evaluate solution options, shape implementation roadmaps, and drive execution across technology transformation initiatives. Requires 6+ years in technical architecture or lead engineering, with 3+ years architecting enterprise-scale systems using microservices and event-driven architectures in production.

Enterprise Systems Administrator IV leading the design, implementation, and optimization of complex on-premises and cloud infrastructure across a large university. Responsibilities include administering servers, directory services, virtualization, and operating systems; automating processes via scripting; implementing security controls and disaster recovery strategies; and mentoring junior systems administrators.…See more The role requires expertise in Windows/Linux environments, cloud platforms, virtualization, PowerShell/Bash/Python scripting, backup and recovery, and technical project leadership.

A senior network systems engineer responsible for designing, implementing, and maintaining enterprise network infrastructure including routing, switching, firewalls, and wireless systems. The role involves configuring and securing HPE Aruba and Palo Alto solutions, managing routing protocols (OSPF, BGP), implementing NAC and Zero-Trust architectures, and conducting network validation testing.…See more Requires 10+ years of network engineering experience, a bachelor's degree in a technical discipline, and an active Secret clearance with one of six specified IAT Level II certifications (Security+, CySA+, CCNA Security, GICSP, GSEC, or SSCP).

PrecisePK seeks a Software Tech Lead with 5+ years of full-stack development experience to design, build, and scale their clinical software platform. The role combines hands-on full-stack development (Node.js, React, AWS, Docker) with technical mentorship, architecture design, and cross-functional collaboration with product and business stakeholders.…See more Responsibilities include leading engineers, building database-integrated APIs, identifying technical improvements, and producing technical documentation. Strong Computer Science fundamentals (algorithms, data structures, software architecture) and experience in regulated healthcare environments (SOC 2, HIPAA) are expected.

Design, architect, and evolve highly available enterprise network infrastructure across wired, wireless, core, WAN, data center, and cloud environments. Lead complex Layer 2/3 engineering including routing, switching, segmentation, and high-availability systems; serve as technical escalation for advanced troubleshooting and root-cause analysis.…See more Direct university-wide network modernization projects from requirements through deployment and operational transition, coordinating across IT teams, campus partners, vendors, and service providers. Develop network architecture strategies, multi-year roadmaps, standards, and provide technical mentorship to junior engineers.

As a Data Engineer at Booz Allen Hamilton, you will develop and deploy data pipelines and platforms that organize disparate data sources to yield actionable insights for mission-critical applications. You'll work with Python, SQL, or similar languages to build ETL operations, manage relational and non-relational databases, and support analytics workloads on cloud platforms.…See more The role requires 1+ years of data engineering, ETL, or pipeline development experience, proficiency with source control (GitHub/Atlassian), and Linux/Windows scripting. You'll collaborate with analysts, developers, and data scientists in an agile environment to design, develop, and maintain scalable data solutions.

Senior network architect and engineer responsible for designing, evolving, and modernizing SDSU's enterprise wired, wireless, core, WAN, data center, and research networks. Lead complex infrastructure projects from architectural design through deployment and operational transition, serve as technical escalation resource for advanced routing, switching, and wireless issues, and mentor network engineering staff.…See more Required skills include large-scale enterprise network architecture, advanced routing/switching (BGP, OSPF, IPv4/IPv6, segmentation, high availability), hands-on packet/protocol analysis, RF engineering, and vendor platform expertise (Aruba, Palo Alto Networks, Infoblox, ClearPass). Develop architecture standards, technical documentation, and evaluate emerging networking technologies.

Lead enterprise infrastructure design and administration for a major public university, managing on-premises and cloud environments across thousands of users. Design complex systems, lead infrastructure projects, automate operations using PowerShell/Bash/Python, implement security and disaster recovery strategies, and mentor junior systems administrators.…See more Requires deep expertise in Windows/Linux servers, virtualization, cloud platforms, directory services, and enterprise infrastructure security.

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.

Lead enterprise infrastructure design, implementation, and optimization across on-premises and cloud environments at a major university. Automate administrative processes using PowerShell, Bash, or Python; maintain Windows and Linux servers, directory services, and virtualization; implement security controls and disaster recovery strategies; and mentor junior systems administrators while driving infrastructure improvements and technical projects.See more

Staff Virtualization Engineer responsible for designing, implementing, and maintaining Teradata's on-premises platform infrastructure with deep expertise in hypervisor technologies (VMware, KVM). The role involves software engineering duties including problem analysis, code review, design, development, testing, and troubleshooting of virtualized infrastructure; driving virtualization best practices; optimizing network hardware/software; performing root cause analysis; and collaborating with DevOps teams to build test automation and tools.…See more Requires expert knowledge of VMware (vSphere, vSAN, vMotion, vCenter, vRA), KVM, Harvester, Infrastructure as Code (Terraform), and proficiency in scripting languages (PowerCLI, Python, Go, PowerShell).

CoStar Group seeks a Senior Software Engineer to design, build, test, and deploy scalable applications for their real estate analytics platform, handling large data volumes with AI-assisted development workflows. The role requires full ownership of the development lifecycle from coding and testing through production deployment and support.…See more You'll collaborate with engineers, product owners, and designers on technical architecture and advocate for technical evolution. The position requires 7+ years of software development experience, expertise in C#/.NET and modern front-end frameworks (JavaScript, React), relational databases (SQL Server), and hands-on experience with AI-assisted tools like GitHub Copilot or Claude Code in production.

Senior engineer at Deloitte GPS delivering production-quality code for GenAI/LLM-powered solutions, with 7+ years in software/data engineering and 1+ years hands-on experience building and deploying Claude-based applications. Responsibilities include designing extensible functionality, leading project workstreams, translating business problems into AI solutions, and contributing reusable assets (code, prompt libraries, runbooks).…See more Strong emphasis on testing, CI/CD, logging, documentation, and mentoring junior team members in fast-paced, ambiguous client delivery environments.

Senior Full Stack Engineer owning end-to-end manufacturing software platform development across API, frontend, data model, and background jobs. You will design and evolve core domain models (work orders, engineering changes, effectivity, defect records) and ship production-quality features that technicians, supervisors, and quality teams rely on daily.…See more The role requires deep expertise in TypeScript, React, Node.js backends, and Postgres with strong proficiency in schema design, migrations, and transactional consistency. You'll partner with product, design, and manufacturing stakeholders to translate operational needs into maintainable software while raising standards on testing and observability.

DevOps Engineer to build, maintain, and optimize AWS cloud infrastructure and CI/CD deployment systems, working with ECS, EKS, and EC2 workloads. The role requires hands-on experience with Infrastructure as Code (Terraform), containerization (Docker/Kubernetes), monitoring tools (Grafana), and CI/CD pipelines, with growing ownership of services and systems.…See more You'll troubleshoot infrastructure and application issues, collaborate with engineering teams on deployment workflows, and apply AI tooling to improve infrastructure automation and operational efficiency. The position reports to a DevOps Manager and is based in San Diego on a hybrid schedule.

The Senior Machine Learning Engineer will design and develop advanced ML models for automotive radar signal processing, including end-to-end pipelines from data preprocessing through model training and optimization. The role requires expertise in deep learning architectures (CNNs, RNNs, Transformers), radar signal analysis, and deploying models for real-time embedded systems with constraints on latency, memory, and power.…See more Responsibilities include evaluating state-of-the-art ML techniques, optimizing models for production, and translating research into scalable algorithms. The position demands a Master's or PhD in a quantitative field, 3+ years of ML research experience, strong proficiency in Python and frameworks like PyTorch or TensorFlow, and foundational knowledge of radar fundamentals.

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.

Network Engineer supporting enterprise network infrastructure with 10+ years of experience managing complex DoD/government environments. Responsibilities include designing and maintaining routing, switching, firewall, and boundary protection systems (HPE Aruba, Palo Alto); managing multi-cloud connectivity (AWS, Azure) and IP address space; configuring advanced protocols (OSPF, BGP, IPsec); deploying Network Access Control and Zero Trust architectures; and establishing test environments with comprehensive documentation and regression testing.See more

Build and integrate oncology applications across laboratory systems, data pipelines, and enterprise platforms at Eli Lilly. Develop AI-enabled capabilities for data retrieval, extraction, and analysis while owning application reliability, user support, and lifecycle planning.…See more Deploy on Lilly cloud infrastructure using modern server-side frameworks (Python/Django/Flask preferred), front-end technologies (JavaScript/TypeScript), relational databases, and CI/CD pipelines. Mentor junior engineers and collaborate directly with scientific and operational stakeholders.

This is a DevSecOps Engineer role requiring hands-on expertise in cloud infrastructure, containerization, and CI/CD automation for a classified government project. The role demands proficiency with AWS, Kubernetes, Docker, scripting (Python, Bash, PowerShell), infrastructure-as-code tools (Ansible, Puppet, Chef), and Linux system administration.…See more The candidate must be able to obtain or hold a TS/SCI security clearance and will work on air-gapped and on-premises environments alongside cloud services.

Design, develop, and deploy a hybrid container/virtualization platform serving enterprise workloads across on-prem and cloud environments. Integrate core platform services (identity, PKI, DNS, logging, monitoring, secrets management) and support GPU-enabled AI/ML workloads.…See more Establish CI/CD pipelines, Infrastructure-as-Code automation, and standard operating procedures for configuration management, verification, and patch management. Lead cross-functional teams on containerization, DevSecOps, incident response, and ATO compliance efforts.