dev-ops jobs in San Diego

Prescient Edge seeks a Software Engineer III with 10+ years of professional software engineering experience to support a federal government client. The role involves researching, designing, and developing computer and network software; analyzing user needs to develop solutions; updating existing software capabilities; and integrating hardware and software systems across functional disciplines.…See more The engineer will apply modern software development methodologies (agile, DevOps/DevSecOps) and maintain databases within application areas. A Master's degree in a quantitative field and either Agile Developer or Certified Scrum Developer certification are required.

Software Engineer II will research, design, and develop computer and network software or specialized utility programs for a federal government client. The role involves analyzing user needs to develop software solutions, updating/enhancing existing software capabilities, and integrating hardware and software systems.…See more The engineer will work cross-functionally with project management, acquisition, logistics, and security teams, maintain databases, and apply modern software development methodologies including Agile and DevOps/DevSecOps. The position requires 3 years of professional software engineering experience, a Bachelor's degree in a quantitative field (Computer Science, Engineering, etc.), and either Agile Developer or Certified Scrum Developer certification.

This IT Specialist role requires senior-level software development and data systems expertise with responsibility for leading technical teams, validating system requirements through customer consultation, and translating business processes and functional requirements into design specifications. The incumbent must demonstrate mastery in software development, data structures, DevOps, and Agile project management, while mentoring workforce competencies and executing system lifecycle changes.…See more The position requires obtaining and maintaining a security clearance and DAWIA certification within established timeframes.

As Full Stack Engineer at Nucleus Biologics, you will develop and maintain software tools for scientists and manufacturing teams. Responsibilities include managing AWS infrastructure (EC2, RDS), maintaining Docker containers and Nginx, handling PostgreSQL schema and migrations, developing Python backends with FastAPI/Django/Flask, building React/TypeScript frontends, and resolving customer and internal issues.…See more You need strong production experience across the full stack: Python with modern web frameworks, React with current data-fetching patterns, PostgreSQL administration, and hands-on DevOps with Docker, Linux, and AWS.

Senior Embedded Software Engineer responsible for architecting, designing, and developing embedded software components and APIs for space products. Will create software requirements documents, develop prototype software across bare metal, Linux, VxWorks, and Green Hills environments, and collaborate with hardware teams on device drivers and hardware-software interfaces.…See more Requires 5+ years (10 preferred) of embedded systems development experience with proficiency in C/C++, embedded processors (ARM, PowerPC, x86, TI-DSP), embedded Linux, and interface protocols (PCI, USB, SPI, I2C, SpaceWire, Ethernet, CAN). Will also develop test cases in Python or LabView, set up DevOps pipelines, and troubleshoot prototype hardware.

This role requires a senior technical architect with 15+ years of Integrated Eligibility System Architecture and cloud infrastructure expertise to design and govern end-to-end data center infrastructure across compute, storage, and networking. The architect will define standards and patterns, lead infrastructure modernization to AWS, and provide strategic guidance on scalable, secure, AI-enabled environments.…See more Deep knowledge of cloud-native engineering, Infrastructure as Code, DevOps, and compliance/security requirements is essential, with particular experience in agentic AI and serverless Integrated Eligibility systems preferred.

Lead full-stack software engineering across Northrop Grumman NGAS programs, championing tools, processes, training, and metrics for systems using modern front-end and back-end technologies. Establish a cross-program Community of Practice to spread best practices, improve software reuse, and align subsystems with DoD strategic objectives (JADC2, Anywhere C2, multi-vehicle swarm).…See more Serve as Subject Matter Expert in front-end frameworks (React, TypeScript, HTML/CSS), back-end languages (Python, Java, Node.js), API design (REST, GraphQL, gRPC), databases (SQL, NoSQL, MongoDB), cloud platforms (AWS, Azure), and containerization, plus core competencies in geospatial engineering, cybersecurity governance, interoperability standards, or open systems architectures. Requires 14+ years software engineering experience with Bachelor's in STEM, active Secret clearance, and ability to attain TS/SCI and Special Program Access.

com, responsible for architecting and developing a high-performance, scalable web platform that drives prospect-to-customer conversion. You will mentor a team of engineers, design and implement user experiences and Kubernetes services, and serve as the technical subject matter expert across a hosted authoring environment, administrative UIs, and runtime application UI generation.…See more vironment, administrative UIs, and runtime application UI generation. The role requires 8+ years building enterprise cloud-native applications, strong leadership abilities, and deep expertise in JavaScript/React, microservices architecture, and the full software development lifecycle.

The Senior Scientific Platform Engineer will develop and maintain software components, data processing workflows, and platform services that operationalize scientific innovations for clinical studies. The role requires translating research outputs and algorithms into production-grade backend services, APIs, and data pipelines on AWS, while collaborating with Science, Data Science, Product, and Engineering teams.…See more The ideal candidate has 5+ years building analytics platforms or scientific computing solutions, strong Python proficiency, and experience with cloud-native and serverless architectures. The position demands the ability to understand complex scientific methods and transform them into scalable, validated, maintainable software solutions within a regulated healthcare environment.

com, a high-traffic marketing website serving millions of prospects. Responsible for designing scalable, performant web platforms with hosted authoring environments, administrative UIs, and runtime application UI generation.…See more ed authoring environments, administrative UIs, and runtime application UI generation. Will mentor engineers, architect microservices and APIs (REST/GraphQL), drive experimentation capabilities, and guide technical decisions across the full software development lifecycle.

Staff-level data engineer who designs, develops, and maintains scalable ETL/ELT pipelines using Databricks, PySpark, and Python for enterprise analytics and AI use cases. Builds curated data layers following Lakehouse Medallion architecture, develops Databricks-native applications (notebooks, dashboards, APIs), and optimizes Apache Spark workloads for performance and cost efficiency.…See more Owns production data pipelines end-to-end, ensures data quality and reliability, and acts as a technical leader mentoring teams on data engineering best practices and modern Databricks capabilities.

Zensar is seeking an experienced AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The role requires deep expertise in Large Language Models (Claude, Gemini, OpenAI), multi-cloud platforms (Azure, AWS), and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years designing AI/ML solutions.…See more Responsibilities include defining AI strategy and architecture standards, designing end-to-end GenAI systems (RAG, agentic AI, multi-agent systems), architecting secure infrastructure across Azure and AWS, establishing governance and responsible AI frameworks, and leading adoption programs. The ideal candidate will mentor teams, evaluate emerging technologies, and translate business requirements into scalable, production-grade AI systems.

Support and maintain an Engineering Workspace environment spanning Windows VDI, Citrix, Linux HPC platforms, and simulation applications for a technical user community. Design and maintain automated functional application testing frameworks and CI/CD pipelines, with 5+ years of enterprise Windows/virtual desktop support required.…See more Deploy engineering and simulation applications, drive automation initiatives, and participate in Agile/DevOps practices to improve system reliability and end-user productivity. Collaborate with IT teams, vendors, and infrastructure partners to diagnose and resolve complex technical issues.

Staff Engineer role focused on integrating autonomy software across simulation (SIL), hardware-in-the-loop (HIL), and flight environments. Responsibilities include ensuring cross-platform compatibility of the autonomy stack, diagnosing integration defects through log and telemetry analysis, optimizing CI/CD pipelines with DevOps teams, and validating system requirements and interface contracts.…See more Requires 7+ years of experience (or equivalent with advanced degree), proficiency in Python or C++, hands-on experience with autonomous systems and HIL testing, and demonstrated expertise designing integration workflows and CI/CD infrastructure.

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.

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.

Senior Embedded Software Engineer role focused on R&D and production software development for next-generation radar products. S.…See more sponsibilities include building embedded Linux systems, supporting system integration on custom hardware, and maintaining deployed software for U.S. and international defense customers. Requires 4+ years of professional object-oriented software development with C/C++ and Python, extensive Linux experience, and familiarity with Agile/Scrum methodologies. Must be a U.S. Person with ability to access U.S.-only data systems.

As a Cybersecurity Engineer and Risk Analyst, you will develop and implement security solutions to protect military infrastructure, performing vulnerability and compliance assessments using industry-standard tools like eMASS and ACAS. You'll troubleshoot complex security challenges, assess network and system threats, implement infrastructure controls, and communicate security risks to both technical and non-technical audiences.…See more The role requires 3+ years of experience leading Risk Management Framework (RMF) activities for DoD projects, vulnerability scanning, and security control implementation. You'll work closely with Navy missions to identify cyber risks, recommend solutions, and provide hands-on support using your knowledge of cybersecurity policy, networks, system infrastructure, and risk management.

This role leads enterprise IT infrastructure and operations for a defense technology company, overseeing networks, cloud environments, endpoints, identity and access management, and end-user services. The Director will develop IT strategy aligned with DoD customer requirements, advise leadership on cybersecurity risk and IT modernization, and ensure compliance with CMMC, NIST SP 800-171, DFARS, and RMF standards.…See more Responsibilities include managing IT governance, disaster recovery, vendor relationships, budgets, and supporting protection of Controlled Unclassified Information through security assessments and incident response. The role requires leading and mentoring IT and DevOps teams managing infrastructure including cloud environments.

As a Cybersecurity Engineer and Risk Analyst, you will develop and implement security solutions to protect military infrastructure, performing risk and vulnerability assessments across networks, systems, and applications. You will leverage tools like ACAS, STIGs, and eMASS to assess security threats, implement infrastructure controls, and prepare Risk Management Framework (RMF) artifacts and Security Assessment Plans (SAP) for DoD customers.…See more You'll troubleshoot complex cybersecurity challenges, analyze big data security events to identify advanced threats, and communicate technical findings to both technical and non-technical audiences. The role requires 3+ years of IT experience with government/DoD agencies, hands-on RMF and A&A leadership, and an active TS/SCI clearance.

Senior SysAdmin to administer and optimize Shield AI's Atlassian Cloud ecosystem (Jira Software, Jira Service Management, Confluence). Responsibilities include designing workflows and automation rules, developing REST API integrations and webhooks, managing enterprise system integrations (DevOps toolchains, CI/CD, identity providers), administering Atlassian Access, and building advanced dashboards and JQL queries.…See more Requires 3+ years Atlassian administration experience, strong hands-on Cloud expertise, proven REST API and automation frameworks knowledge (ScriptRunner), and advanced JQL and reporting skills.

Staff engineer role focused on integrating autonomy software across Shield AI's Hivemind platform, spanning simulation, hardware-in-the-loop, and flight systems. Responsibilities include developing deep expertise in the autonomy stack, configuring and deploying multi-agent systems, integrating new autonomy capabilities, enabling platform bring-up on new robotic hardware, architecting integration tooling and deployment infrastructure, ensuring cross-platform compatibility, diagnosing integration defects via telemetry analysis, and optimizing CI/CD workflows.…See more The role bridges engineering development and real-world autonomous applications, requiring systems integration expertise, robotics platform knowledge, and hands-on proficiency with sensor drivers, middleware, and deployment frameworks.

Lead day-to-day technical project delivery for Distribution Operations initiatives including outage management, solar/battery data integrations, forecasting, automation, and analytics. Transform technical requirements into delivery plans, sprint backlogs, and release milestones while coordinating work across data engineers, architects, cybersecurity teams, and vendors.…See more Manage project controls, scheduling, defect tracking, and comprehensive documentation across integrations, ETL/ELT pipelines, cloud analytics, and Power Platform solutions. Facilitate design reviews, support operational readiness, and ensure technical solutions meet engineering rigor and real-world operational needs.

Lead the architectural design of server-side, backend, and cloud platform capabilities supporting Dexcom's continuous glucose monitoring products. Collaborate across product, cybersecurity, firmware, data, and mobile teams to translate business and regulatory requirements into secure, scalable, and maintainable platform solutions.…See more Establish architectural direction for distributed services, APIs, data pipelines, event-driven systems, and shared platform capabilities. Guide technology exploration, system integration, performance testing, and serve as an authority for platform architecture principles and modern backend development practices across the organization.

AWS seeks a Solutions Architect to help customers design and implement cloud computing solutions, with responsibility for technical engagement on implementation projects, architecture guidance, and thought leadership. The role requires deep expertise in AWS services (EC2, S3, RDS, CloudFront) and security best practices, alongside the ability to communicate technical strategy to both customers and internal teams.…See more Candidates should have 5+ years of IT implementation or consulting experience, with 4+ years in a specific technology domain such as software development, cloud computing, systems engineering, or infrastructure.