devops-infrastructure jobs in San Diego

Design and develop Qualcomm's in-house robotics simulation platform and AI infrastructure, integrating modern 3D engines, GPU-accelerated compute, and machine learning to enable robot policy training and validation. Build digital twins, synthetic data pipelines, and hardware-in-the-loop configurations that bridge simulation and real Qualcomm robotics hardware.…See more Partner with robotics researchers to iterate on simulation fidelity, sensor modeling, and continuous learning workflows that move algorithms from simulation to deployed robots. This role demands depth in robotics simulators (MuJoCo, Isaac Sim, Unreal/Unity), GPU programming (CUDA), reinforcement learning at scale, and AI infrastructure orchestration (Kubernetes, Argo Workflows).

Senior Systems Engineer serving as Tier 3 escalation and solutions architect for a managed service provider (MSP), designing end-to-end technical solutions across Microsoft 365, Azure, identity/security, and networking for multiple clients. Responsibilities include architecting and administering Azure and Microsoft 365 environments (Entra ID, Intune, Exchange Online, SharePoint), implementing security controls (MFA, conditional access, DLP, identity governance), building PowerShell automation and AI-assisted agents to reduce manual work, and mentoring Tier 1/2 technicians.…See more Must have deep hands-on expertise in Azure and O365 administration, strong security background in identity/access management and endpoint security, proven scripting ability, and experience escalating complex infrastructure/cloud/security issues in a multi-client MSP environment.

Software Integration Engineer responsible for designing, developing, and deploying a hybrid container/virtualization platform-as-code solution supporting enterprise-scale workloads across on-prem and cloud environments. The role involves integrating core platform services (identity, PKI, DNS, logging, monitoring, secrets management), configuring container runtimes and networking, and developing infrastructure-as-code automation.…See more Requires 9+ years of experience (or equivalent with advanced degree) with cloud platforms, Kubernetes, virtualization, DevSecOps practices, CI/CD tooling, and automation frameworks, plus the ability to mentor junior engineers and collaborate across security, platform, and application teams on compliance, incident response, and AI/ML workload enablement.

Senior Software Engineer role building full-stack ECG and cardiac monitoring applications for medical devices. Design, develop, and maintain scalable microservices using Java/Spring Boot, JavaScript/Angular, and GraphQL, with deployment on AWS/Kubernetes (EKS).…See more Lead development following IEC 62304 medical device standards, HIPAA compliance, and CI/CD best practices. Requires 5+ years full-stack experience, deep expertise in Java and Angular, microservices architecture, AWS cloud technologies, and familiarity with regulated medical device software development.

Senior Software Engineer at Globus Medical responsible for full lifecycle management of medical device software products, from research and design through testing and delivery. The role requires strong full-stack development skills in .NET/C# backend and JavaScript/TypeScript frontend, with proficiency in Azure DevOps, Git, and web technologies including HTML5, CSS/SCSS, LitElement, and WebComponents.…See more Must follow FDA regulations, ISO 13485, and IEC 62304 standards in a regulated medical device environment, and perform some DevOps functions. Requires 8+ years of experience (or equivalent with advanced degree) in object-oriented design, Agile/TDD methodologies, and cross-functional collaboration with product management and engineering teams.

Sr. Staff Software Engineer role designing and developing Multimedia, AI, and Gen AI SDKs/framework components for IoT products including drones, cameras, and media devices.…See more Requires 6+ years of software engineering experience with 3+ years in C, C++, Java, or Python, with strong preference for deep embedded systems expertise, real-time solutions, and AI/ML inference frameworks. Responsibilities include leading architecture and development of GStreamer-based SDKs, driving feature design across diverse product categories, and providing technical leadership on code quality and cross-functional collaboration.

Senior ML engineer role focused on architecting, designing, and deploying on-device AI prototype software at the edge. Requires strong Python and C/C++ skills, deep learning expertise (PyTorch), and embedded software development experience.…See more The role involves model fine-tuning, quantization, hardware acceleration, and inference optimization for deployment on smartphones, autonomous vehicles, IoT, and robotics platforms. Must have 3+ years relevant experience and a strong theoretical ML background combined with modern software engineering practices.

Principal Software Engineer role focused on designing highly complex enterprise-level web applications with deep expertise in microservices, serverless architectures, and cloud platforms. The engineer will serve as an architectural subject matter expert, providing guidance on system design, performance, scalability, and security across multiple teams at CoStar.…See more Requires 10+ years of hands-on experience with expert-level proficiency in C#, Java, Python, or JavaScript/TypeScript, plus significant hands-on experience designing and implementing AWS solutions. Responsibilities include creating architectural documentation, mentoring technical staff, staying current with emerging technologies, and advocating for security and observability best practices.

Cloud Security Engineer III responsible for designing, implementing, and maintaining security controls across the company's infrastructure with a focus on AI/ML platforms. The role involves monitoring AI/ML systems for anomalous behavior, identifying and remediating vulnerabilities in ML pipelines, and collaborating with data scientists to implement secure AI/ML solutions.…See more Requires 8+ years of security engineering experience, 3-5 years of AWS cloud security expertise, AWS Security Certification, and foundational knowledge of ML lifecycle and AI/ML security concepts.

Senior Staff Engineer responsible for designing and building an MLOps platform that supports distributed AI training, reinforcement learning, and foundation model development at scale. You will architect Kubernetes-native infrastructure for GPU workloads, design self-service AI development workflows, manage the data and model lifecycle, and lead platform distribution across cloud, on-premises, and air-gapped environments.…See more The role requires deep expertise in modern AI frameworks (PyTorch, Hugging Face Transformers), distributed systems, GPU scheduling, and cloud-native infrastructure, with a focus on enabling researchers and engineers to move from experimentation to production rapidly.

Lead the design and engineering of enterprise-ready AI agents with retrieval, orchestration, policy-based routing, and lifecycle observability across multiple AI providers. Develop cloud-native abstraction layers, containerized microservices, and serverless architectures to deliver scalable agentic systems.…See more Tailor domain-specific workflows for finance, healthcare, and retail verticals through intelligent automation. Conduct design workshops, POCs, and code sessions with clients to shape data-driven agent workflows while defining metrics, evaluation harnesses, and best practices for agent accuracy, latency, safety, and cost-effectiveness.

Lead end-to-end AI platform architecture and design for generative AI solutions, including LLMs, RAG systems, and agentic AI. Build MLOps/LLMOps pipelines with automated CI/CD, model serving infrastructure, and vector database integration on enterprise cloud platforms.…See more Establish best practices, mentor engineering teams, and drive seamless AI application integration into production systems while optimizing for scalability, security, and performance.

Lead the design, governance, and technical implementation of an enterprise API and AI gateway platform serving internal and external consumers. Define solution standards, security controls, compliance protocols aligned to financial services regulations, and LLM integration patterns across Apigee X, MCP servers, and multiple AI providers.…See more Manage a team through API modernization and AI gateway buildout while actively contributing hands-on engineering on proxies, policies, and MCP integrations when needed.

Senior Linux administrator responsible for managing UNIX-based physical and virtual infrastructure across complex heterogeneous environments at Qualcomm's San Diego headquarters. The role requires hands-on expertise in Red Hat Enterprise Linux, Ubuntu, and SUSE, with demonstrated proficiency in deploying and configuring enterprise hardware (HP, Dell, Super Micro servers), storage technologies (SAN, RAID), and containerization platforms.…See more Key responsibilities include datacenter operations, server patching and package management, clustering (Veritas, Pacemaker), infrastructure automation via Ansible, and serving as an escalation point for technical issues affecting production systems. This is a full-time onsite position (5 days/week) requiring 3+ years of IT experience with a Bachelor's degree, or 5+ years without one.

Deloitte seeks a Forward Deployed Engineer to design, build, and deploy AI-enabled solutions and agentic platforms for government clients using Palantir technologies. The role requires hands-on experience building and operating GenAI/LLM-powered systems in production, contributing production-quality code with strong testing and CI/CD practices, and leading project workstreams to translate business problems into scalable AI solutions.…See more The engineer will prototype and deliver working solutions independently within a pod structure while mentoring teammates, balancing quality, safety, latency, cost, and model risk in architecture decisions.

Lead a team of Databricks engineers delivering GenAI and LLM solutions to government clients. You'll architect and deploy production-scale data platforms, mentor engineers, and translate business requirements into AI solutions using Databricks' full stack (Lakehouse, Agent Bricks, Model Serving, Genie, Apps).…See more Enforce strong data management, CI/CD, testing, and documentation practices while working across AWS, Azure, and Google Cloud environments.

Senior Forward Deployed Engineer at Deloitte GPS building AI-enabled solutions and agentic platforms on Databricks for enterprise government clients. Requires 7+ years software/data engineering experience, 5+ years deploying GenAI/LLM solutions in production, and 5+ years hands-on Databricks expertise across Lakehouse, Agent Bricks, Model Serving, and Genie.…See more Mentors junior engineers, designs scalable AI patterns with human-in-the-loop controls, delivers production-quality code with strong CI/CD and testing practices, and translates complex business problems into deployable AI solutions.

Senior Software Engineer role at CoStar focused on designing and building production applications using C# and .NET on AWS cloud infrastructure. The position emphasizes leveraging Claude AI for code generation, refactoring, and analysis, while building and operating scalable, cloud-native solutions.…See more Requires strong AWS hands-on experience (EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch), API and backend service development, and solid software design principles. Preferred qualifications include Databricks experience, microservices/distributed systems knowledge, CI/CD and DevOps practices, and Infrastructure-as-Code tools like Terraform and CloudFormation.

Design, build, and maintain scalable data pipelines and platforms that power high-volume, data-driven applications. Develop and optimize ETL/ELT processes for large, complex datasets using Databricks and Spark, and build backend data services in C# / .NET.…See more Lead technical design decisions, mentor engineers, and leverage AI-assisted coding tools to improve engineering efficiency. Requires 5+ years of data engineering experience, strong expertise with data pipelines and ETL frameworks, and hands-on experience with AWS-based data platforms.

CoStar seeks a Senior Software Engineer to design and build production applications using C# and .NET on AWS, with hands-on experience leveraging Claude for AI-assisted development. The role focuses on building scalable, cloud-native solutions and involves building APIs, backend services, system design, code reviews, and mentoring.…See more Required skills include strong C# and .NET expertise, hands-on AWS experience (EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch), Git workflows, and software design principles. Preferred qualifications include practical Claude experience, Databricks, microservices, CI/CD pipelines, and infrastructure-as-code tools like Terraform or CloudFormation.

A junior data engineer will contribute to data pipeline development across AWS, Azure, Salesforce, and MuleSoft, learning the full engineering lifecycle with guidance. Core responsibilities include building and maintaining data pipelines, implementing Kimball-based data models, writing Python orchestration and data-quality scripts, and supporting Power BI analytics.…See more The role emphasizes AI-assisted development using Claude Code, Cursor, and GitHub Copilot, with requirements for 0–2 years of experience, 6+ months of Python, intermediate SQL, at least one end-to-end pipeline project, and Power BI/Tableau dashboard experience.

Staff Data Engineer at Illumina seeking a senior individual contributor with 10+ years building and scaling data products on Databricks and Snowflake. The role spans end-to-end ownership of data pipelines across Supply Chain, Manufacturing, and Quality domains, requiring advanced Python, SQL, and data modeling skills with hands-on expertise in Spark, Delta Lake, dbt, and distributed systems design.…See more Responsibilities include designing medallion-architecture data products, embedding governance and data quality, adopting AI in analytics workflows, and mentoring a global engineering team. The candidate will set technical standards, lead architecture decisions, and communicate trade-offs across business, AI, and platform stakeholders.

This Data Engineer II role focuses on data operations and infrastructure, supporting the transition of data systems from development to production. The engineer will administer data lakehouse/warehouse platforms (Snowflake, Databricks, Redshift, BigQuery, Azure Synapse), manage RBAC and user governance, monitor and troubleshoot data pipelines, and contribute to data governance and quality best practices.…See more Key responsibilities include orchestration tool administration (Apache Airflow, dbt), observability framework development, incident management, and hands-on SQL and Python work to maintain and optimize production data systems.

Software Engineer II supporting Navy METOC systems, responsible for maintaining and developing fielded software systems, firmware, and engineering development models. Duties include software maintenance, patch deployment automation, security compliance (DISA STIGs, C&A processes), vulnerability management, and system hardening.…See more Requires 3+ years software engineering experience, Navy tactical systems familiarity (preferably CANES), Windows/Linux administration, scripting (PowerShell, Bash, Python), and DoD 8570 IAT Level II or Security+ CE certification.

Distinguished Architect role responsible for defining and advancing target-state architecture across enterprise-scale trading and investment management platforms supporting $1T+ in assets. The role requires hands-on expertise in designing low-latency, high-throughput trading systems, including real-time event streaming, order routing, and market data infrastructure, while guiding modernization initiatives including cloud adoption (AWS), microservices, and event-driven architectures.…See more Requires 8+ years designing enterprise-scale architectures and 5+ years in trading technology domains (OMS/EMS, FIX protocol, market data). The architect will influence domain architects, establish enterprise architecture standards, champion Architecture as Code, and drive adoption of AI/ML and blockchain capabilities while partnering with executive leadership on strategic technology decisions.