devops-infrastructure jobs in San Diego

As a Full-Stack Web Application Developer, you will modernize a legacy Microsoft Access application into a React-based web application for the Navy's Shipboard Advanced Tactical Data Link program. You will analyze existing workflows and database structure, design scalable application architecture, develop responsive front-end interfaces using React and Redux, and build backend REST APIs.…See more The role requires 2+ years of web development experience, JavaScript/React proficiency, RESTful API knowledge, and an active Secret clearance.

This senior role leads continuous integration (CI) functional efforts for wireless modem technologies, managing the design, integration, verification, and validation of cellular modem air interface and RAN technologies. The engineer supervises team members, gathers requirements from internal customers, holds design reviews, and ensures high-performance modem IP meets industry standards while optimizing for throughput, latency, power consumption, and cost.…See more Responsibilities include real-time CI system monitoring, rapid issue triage, and cross-functional collaboration with other engineering groups. The position requires a BS in Electrical Engineering, Computer Engineering, Computer Science, or related field plus 5 years of progressive experience.

Staff Software Engineer role designing and implementing cloud-native platform components and services, with primary focus on Kubernetes workloads, distributed systems, and infrastructure automation. Requires 5+ years hands-on Kubernetes experience, proficiency in Go or systems languages, and demonstrated expertise building operators, controllers, and platform services.…See more Will lead well-scoped projects from design through production, contribute to reliability and scalability, mentor junior engineers, and participate in on-call operations.

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.

Senior Software Engineer to drive Linux innovation for Qualcomm's next-generation server-class CPUs on the Linux Platform team. Responsibilities include bringing up Linux kernel and userspace on new hardware, implementing build/packaging/test workflows in CI/CD infrastructure, debugging platform issues, and supporting upstream readiness for major Linux distributions.…See more Requires 2+ years of software engineering experience with proficiency in C/C++, Python, and Bash, plus deep experience with enterprise Linux distributions (RHEL, Ubuntu, Debian), packaging systems, and CI/CD automation tools. Strong background in Linux kernel debugging, Git workflows, and cross-team collaboration expected.

As a Datacenter AI Systems and Solutions Engineer at Qualcomm, you will research, develop, and optimize end-to-end AI/ML solutions that integrate Qualcomm's AI inference accelerators with system software and ecosystem components. You will lead the design and deployment of production-ready Generative AI and LLM applications, perform model benchmarking and performance analysis, and serve as a technical lead for customer engagements on AI model optimization and inference tuning.…See more The role requires deep expertise in AI systems architecture, MLOps practices, and large-scale distributed systems, with hands-on proficiency in Python, ML frameworks, containerization, and orchestration platforms. You will drive system-level requirements, hardware/software co-design, and influence product direction through performance analysis and optimization strategies.

Enterprise IT Systems Engineer supporting mission-critical Department of Defense environments with 12+ years of experience designing and administering secure, scalable infrastructure. Responsibilities include managing Microsoft Active Directory, PKI, enterprise backup/disaster recovery, storage area networks, Hyper-Converged Infrastructure, and virtualization platforms (VMware, Kubernetes, Docker).…See more Must demonstrate expertise in DoD cybersecurity compliance (RMF, STIGs), cloud services (Office 365, IaaS/PaaS), and secure system technologies including encryption, VDI, and VoIP. Requires TS/SCI clearance and ability to obtain DoD 8570.11 IAT Level II certification within 30 days.

This role involves architecting, deploying, configuring, and maintaining VMware virtualized infrastructure—including vSphere, vCenter, vSAN, NSX, and VMware Cloud Foundation—for a U.S. Navy enterprise IT environment.…See more The engineer will design disaster recovery and business continuity strategies, manage infrastructure upgrades and patching, monitor system health, and troubleshoot complex virtualization issues across Windows Server environments. The position requires 6+ years of VMware experience, 6+ years with vSphere/vCenter/vSAN, 2+ years of PowerShell scripting, and proficiency in network and storage virtualization. A Secret clearance is required, along with a DoD 8570.11 IAT Level II certification (CompTIA Security+, CCNA-Security, GSEC, or SSCP) within 30 days of hire.

Design, develop, and optimize machine learning systems and models for production AI platforms, with focus on inference optimization, scalable ML infrastructure, and deployment. Responsibilities include building ML pipelines, optimizing model inference across hardware environments, integrating LLMs and models into APIs and microservices, designing data pipelines for ingestion and feature engineering, and collaborating cross-functionally on end-to-end ML solutions.…See more Requires strong software engineering fundamentals combined with deep ML expertise, proficiency in Python and at least one systems language (C++, Rust, or Go), and solid understanding of ML frameworks, transformer architectures, and model deployment systems.

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

Principal Solution Architect driving technical and strategic leadership of LPL Financial's ClientWorks advisor platform. Architect cloud-native, scalable solutions spanning account opening, client management, trading, reporting, and design systems while ensuring security, compliance, and seamless third-party integration.…See more Lead cross-functional teams in modern architecture practices, DevSecOps, and CI/CD automation; mentor development teams and evangelize architectural standards across hybrid enterprise environments.

Senior Multimedia Systems Engineer will independently design and develop multimedia technologies including speech, audio, imaging, computer vision, display, sensing, biometrics, and AR/VR. The role involves analyzing use cases, performing functional decomposition to drive requirements, and conducting system analysis using simulation modeling to optimize performance and power.…See more The engineer will propose algorithmic and system modifications and contribute actively at design reviews and project meetings. A Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field is required.

Lead a team of cloud engineers building the nervous system for Brain Corp's fleet of 30,000+ autonomous mobile robots. Own the platform's reliability, roadmap, and architecture while managing team hiring, onboarding, and career development.…See more Drive high-performance delivery across robot and customer-facing interfaces, balance competing priorities (performance, cost, reliability, scalability), and partner with principal and staff engineers on long-term platform strategy. Stay hands-on enough to make sound architectural decisions and earn senior engineer trust during a period of significant growth.

Lead a team of cloud engineers building the backend platform that powers Brain Corp's global fleet of 30,000+ autonomous mobile robots. Own the platform's reliability, roadmap, and architecture as it scales to support fleet operations and customer-facing applications.…See more Balance hands-on technical leadership with people management—mentor engineers, drive hiring and onboarding, own production reliability and incident response, and partner with principal/staff engineers on distributed-systems architecture. Navigate tradeoffs between performance, cost, reliability, and scalability while shipping features that robots in the field depend on.

Shield AI seeks a Staff Engineer, DevOps to own and maintain the build system for autonomous aircraft (XBAT/VBAT), with deep expertise in C++ and CMake. You will improve developer velocity by reducing build/test cycle times, integrating CI pipelines with HIL and simulation environments, and implementing monitoring and dashboards for build system performance.…See more The role requires 7+ years of industry experience (or 5+ with advanced degree), proficiency with containers/orchestration, scripting, CI/CD tools, and cloud operations across Azure/AWS/GCP. You'll collaborate with software engineers to resolve failures, set best practices, and leverage agentic AI solutions to identify root causes and accelerate development cycles.

Senior Site Reliability Engineer responsible for designing and implementing Infrastructure as Code solutions, managing containerized and serverless architectures, and driving automation to reduce operational toil across large-scale production systems. The role requires defining Service Level Objectives (SLOs), leading incident response efforts, implementing monitoring and logging systems, and collaborating with development teams to ensure reliability and scalability.…See more Requires 5+ years of SRE or cloud engineering experience with deep expertise in Terraform, CloudFormation, Docker, Kubernetes, CI/CD pipelines, and cloud security practices. Must be a US citizen eligible to obtain and maintain an active Secret security clearance or above.

Qualcomm seeks an experienced Staff Product Manager to define and drive the Linux platform roadmap across Snapdragon-based AI PCs, Edge AI systems, and enterprise computing solutions. The role spans product strategy, Linux distribution enablement, upstream kernel and driver strategy, and AI developer platform support.…See more You will gather customer and ecosystem requirements, create product roadmaps, collaborate with OEMs, ISVs, Linux distribution partners, and open-source communities to deliver optimized Linux experiences on Snapdragon platforms. Success requires translating market needs into platform requirements, managing cross-functional alignment across hardware, firmware, kernel, and AI software layers.

Design, implement, and scale core backend services and APIs using Python, Go, Node.js, or Java to support high-throughput applications. Architect and optimize relational (PostgreSQL) and NoSQL (Redis) databases, deploy containerized services on AWS/GCP using Docker and Kubernetes, and build CI/CD pipelines with comprehensive automated testing.…See more Monitor production systems, troubleshoot incidents, and collaborate cross-functionally to deliver reliable, low-latency features. Requires 3–6 years of distributed systems experience and proficiency in at least one backend language.

Senior Firmware Engineer responsible for developing and optimizing low-level embedded software in C++ for flight-critical avionics and UAS systems. Will port frameworks to new RTOSes and hardware platforms, create board support packages and hardware abstraction layers, develop peripheral drivers (I2C, SPI, UART, ADC, wireless), and conduct unit/integration testing including MISRA C compliance.…See more Requires 5+ years embedded systems experience, bachelor's degree in Aerospace/Electrical/Systems/Mechanical Engineering, U.S. citizenship, and ability to obtain DoD security clearance.

Design, build, and maintain data pipelines that ingest, transform, and load data from SQL Server, PostgreSQL, SaaS platforms (HubSpot), and internal applications into Snowflake. Develop and optimize data models, manage data ingestion using Azure Data Factory and data replication tools, and ensure data quality and integrity.…See more Collaborate with business stakeholders to translate analytics requirements into scalable solutions, develop dashboards and reports, and optimize query performance. Implement data governance best practices, monitor pipelines, and recommend technology improvements to support the company's data strategy.

The Information Systems Analyst III coordinates the development, testing, implementation, and modification of complex information systems; performs business process analysis and modeling; researches hardware and software solutions to meet requirements; provides technical support to end users; and leads IT activities. The role requires three years of professional-level information systems management experience, including procurement, project management, business process analysis, and technical assistance to users on major systems.…See more Candidates must hold a Bachelor's degree (or equivalent) and have one year of experience at an Analyst II level or higher.

This role involves evolving Qualcomm's Robotic Process Automation capabilities into next-generation agentic automation solutions. The Senior Agentic Automations Engineer will design and deploy AI-driven agents, enterprise chatbots, and workflow engines, leading technical delivery across a global team while integrating RPA platforms like Automation Anywhere with containerized architectures.…See more Key responsibilities include defining automation standards, building full-stack enterprise applications, and ensuring secure integration with enterprise systems using Docker, Kubernetes, and agentic frameworks like LangGraph and n8n.

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.

As a Linux Systems Automation Engineer, you will engineer and deploy critical infrastructure across Red Hat Enterprise Linux (RHEL) platforms for a government client, supporting national defense missions. You will design enterprise-scale monitoring and automation solutions, develop Python scripts and Ansible configurations for automated provisioning and compliance, and manage virtualized environments (KVM, QEMU, Proxmox) and containerized workloads.…See more Key responsibilities include maintaining system security through STIG implementation and hardening, performing vulnerability scanning and remediation, and authoring technical documentation. You must have 5+ years of RHEL administration experience, 3+ years of Python automation expertise, security compliance knowledge, and a Secret clearance.

Sr. Director role overseeing SIE's data and AI platform ecosystem, including data infrastructure (streaming, ingestion, warehouse), experimentation platforms, and governance tools.…See more Responsible for defining long-term vision, leading global engineering teams, and ensuring platforms process massive data volumes to deliver insights across gaming, content creation, and enterprise operations. Must drive scalability, cost efficiency, security, and operational excellence while collaborating with senior leadership to align platform strategy with business objectives. Requires proven Sr. Director-level experience and thought leadership in platform architecture, real-time data processing, and ML/AI integration.