Top DevOps Jobs in San Diego, CA

Leads the design, development, testing, debugging, deployment, and maintenance of complex COBOL mainframe applications supporting Medicare claims processing. Provides technical leadership, estimates, troubleshooting, documentation, client communication, and mentorship within an Agile team. The role requires advanced expertise in COBOL, JCL, CICS, TSO, VSAM, Medicare claims systems, DevOps/DevSecOps processes, and rigorous software development practices.

Build and maintain Python backend services, APIs, healthcare integrations, and reliable platform infrastructure. Collaborate with product, frontend, engineering, and clinical teams to define functionality, ensure safety, troubleshoot production issues, and deliver projects end to end. Contribute to DevOps, CI/CD, observability, testing, code review, and technical architecture for an AI-powered healthcare platform.

Build and maintain reliable integrations between UpDoc and healthcare systems, EHRs, and external APIs. Own integration projects from discovery and architecture through deployment, monitoring, troubleshooting, and maintenance. Develop Python APIs and backend services using FastAPI and Pydantic, implement healthcare interoperability standards, handle failures and data integrity, and create automated tests. Collaborate with healthcare technology stakeholders while supporting security, HIPAA, SOC 2, observability, and clinical reliability requirements.

Build and improve RWX’s developer, build, and test cloud across product areas. Work as a generalist on UI, infrastructure, Linux systems, CI/CD, and reliability. Own planning, execution, releases, architecture, integration testing, and product decisions while maintaining high software quality and thoughtful use of AI agents.

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

Design, develop, test, deploy, and maintain scalable Salesforce solutions using Apex, Lightning Web Components, Visualforce, Flow, and integrations. Collaborate with stakeholders and cross-functional teams, perform code reviews, troubleshoot applications, support the software development lifecycle, and provide technical mentorship. The role requires Salesforce enterprise application deployment experience, Salesforce certifications, integration expertise, U.S. citizenship, and eligibility for a Government Public Trust Clearance.

Leads client architecture and delivery for large-scale Google Cloud data engineering, data warehousing, analytics, and AI/ML platforms. Defines technology strategy, designs GCP-native solutions, governs complex programs, resolves critical technical issues, and mentors engineering teams. Partners with executive stakeholders to translate business needs into scalable solutions while contributing to reference architectures and technical enablement. Requires deep GCP, BigQuery, Vertex AI, data engineering, cloud architecture, and client-facing delivery expertise.

Leads full-stack development of scalable, reliable serverless and container-based applications using React, TypeScript, Node.js, and AWS. Designs infrastructure as code with AWS CDK, develops automated tests with Playwright, improves performance, conducts code reviews, and provides technical guidance. Collaborates with cross-functional teams in an Agile and DevOps environment while delivering cloud-based solutions and supporting internal content creation applications.

Develop and maintain scalable web applications using C#, ASP.NET Core, React, and SQL databases. Participate across the software development lifecycle, including design, coding, testing, deployment, code reviews, and Agile ceremonies. Use AI-assisted development tools, contribute to cloud-native distributed systems, apply DevOps and CI/CD practices, and collaborate with product managers and engineers to deliver customer-focused solutions.

Designs and implements secure, scalable GCP solutions; leads cloud migration and modernization initiatives; builds GKE Kubernetes platforms; develops Terraform infrastructure; and implements CI/CD, automation, and SRE practices. Collaborates with enterprise clients, translates business needs into technical architectures, mentors team members, supports pre-sales, and helps adopt Google AI services including Vertex AI, BigQuery, and Dataflow.

Provides strategic architecture leadership for an enterprise Databricks data modernization program. Defines target-state data and analytics architectures, migration strategies, governance frameworks, security standards, and implementation roadmaps. Guides engineering teams on scalability, performance, cost optimization, integration, and AI/ML enablement while aligning technology investments with business and regulatory requirements. Engages executives, stakeholders, and vendors; oversees solution quality, mitigates technical risks, and mentors teams.

Designs and maintains automated testing frameworks for enterprise applications. Develops automation scripts, validates APIs and web services, performs functional, regression, integration, and end-to-end testing, and applies BDD practices. Supports CI/CD integration, analyzes QA metrics, improves testing processes, and collaborates with engineering and business stakeholders to ensure software quality, reliability, performance, and maintainability.

Develop and maintain scalable full-stack applications, REST APIs, microservices, and responsive user interfaces. Integrate internal and third-party systems for real-time data synchronization, optimize application performance, implement security controls, and troubleshoot production issues. Collaborate with analysts, quality engineers, program managers, and data science teams to deliver enterprise applications. Support code reviews, CI/CD, deployments, monitoring, and ongoing maintenance.

Defines and governs end-to-end enterprise technology solutions aligned with business objectives and architecture standards. Designs cloud, hybrid, distributed, microservices, API, integration, data, security, and AI-enabled architectures across AWS, Azure, and GCP. Leads modernization strategies, technology evaluations, architecture roadmaps, risk mitigation, governance, and technical design reviews. Collaborates with business stakeholders, engineering teams, vendors, and architecture specialists while supporting delivery, pre-sales, proposals, and client presentations.

Leads a 3–4 person Site Reliability team while remaining hands-on with software engineering, incident response, infrastructure automation, platform tooling, observability, disaster recovery, and modernization. Owns technical direction, reliability outcomes, technical debt, architecture, code reviews, hiring, performance management, career development, and team processes. The role participates in on-call and drives platform adoption, self-service, delivery quality, and effective AI-assisted development.

Design, develop, deploy, and maintain scalable Workday Finance software, APIs, backend services, distributed systems, and data models. Support financial transactions, accounting, billing, revenue, reporting, reconciliation, and auditability. Troubleshoot production issues, improve reliability and observability, contribute to CI/CD and testing, participate in architecture decisions, and mentor engineers while partnering with Product Management and Finance experts.

Designs, develops, and supports enterprise automation solutions using Microsoft Power Platform, scripting, APIs, cloud services, and secure authentication. The role integrates cloud and on-premises systems, builds reusable workflows, monitors performance, resolves issues, documents solutions, and ensures governance and compliance. The engineer collaborates with infrastructure, security, application development, and business stakeholders to improve operational efficiency and service delivery.

Lead cloud infrastructure, DevOps, CI/CD, build tooling, release management, testing pipelines, and data infrastructure for aerospace software teams. Develop reproducible workflows spanning firmware, spacecraft software, ground systems, and cloud services. Manage versioned datasets, ML training infrastructure, cloud reliability, security, and cost. Partner with engineering and mission operations teams, resolve complex system issues, contribute to architecture, and mentor engineers. The role may be onsite in Austin or Littleton, or remote with regular travel to Austin.

Integrate and sustain tactical unmanned-systems and mission-management capabilities for Naval Special Warfare. Responsibilities include Linux administration, virtualization and container engineering, CI/CD automation, software and sensor integration, cybersecurity hardening, STIG and ATO compliance, testing, documentation, operator training, and technical coordination with government, military, and industry stakeholders. Regular CONUS travel is required.

Designs, develops, maintains, troubleshoots, and enhances enterprise mainframe applications using COBOL, CICS, JCL, DB2, and VSAM. The role includes performance tuning, database optimization, incident and change request management, technical documentation, requirements analysis, and implementation planning. Acts as a technical lead, supports critical applications, works across Agile and waterfall methodologies, and guides junior team members.

Develop and maintain Microsoft Power Platform solutions, including Power Apps, Power Pages, Power Automate, Power BI, Dataverse, and database integrations. Translate business requirements into scalable technical designs, integrate with Microsoft 365, Dynamics 365, Azure, and external systems, and implement ALM, security, governance, DLP, and compliance practices. Provide technical documentation, training, audits, and support for emerging capabilities such as Copilot Studio.

Designs, automates, and executes functional, regression, and integration tests for Medicare claims systems on legacy mainframes. Validates COBOL/JCL jobs, DB2/VSAM updates, claims outputs, and CMS compliance. Manages test cases and reporting in TestRail, tracks defects in JIRA, creates Medicare test data, supports defect triage, and collaborates with development, business, and operations teams. Requires expertise in mainframe testing, Medicare claims workflows, EDI transactions, audit documentation, and regulatory standards.

Develop and maintain COBOL-based Medicare claims processing software in a legacy mainframe environment. Responsibilities include designing, coding, debugging, unit testing, implementing enhancements, troubleshooting defects, supporting Agile/Scrum delivery, preparing estimates, maintaining documentation, and collaborating with team members, clients, and vendors. The role supports Durable Medical Equipment claims processing and requires adherence to structured development standards.

Designs scalable, secure solutions across AWS Cloud and on-premises environments. Partners with architects, development teams, and business stakeholders to translate requirements into technical specifications, create target-state architectures and roadmaps, evaluate technologies, guide implementation, promote coding standards, estimate effort, and manage delivery risks. The role requires extensive cloud architecture, DevOps, data architecture, software development, modern programming, and cross-platform integration experience.

Develops, tests, maintains, and enhances software applications throughout the production lifecycle. Responsibilities include coding, performance testing, debugging, documentation, project planning, code reviews, mentoring, end-user training, and researching development technologies. The role supports cloud-native, API-first, microservice, CI/CD, and DevOps practices while collaborating with IT teams and business stakeholders.