gitops jobs in San Diego

Design, build, and operate production-quality agentic AI systems and developer tooling at scale. Lead multi-agent orchestration, Model Context Protocol (MCP) integration, prompt engineering for structured output, and CI/CD automation for code review and testing.…See more Partner with engineering teams on discovery, rapidly prototype and validate capabilities, then own the full lifecycle from implementation through production monitoring. Mentor engineers on agentic design patterns and communicate technical tradeoffs to stakeholders.

Cloud Engineer III will deploy, configure, administer, and troubleshoot cloud-based compute, storage, networking, and application infrastructure on AWS and Kubernetes. The role requires hands-on expertise in Linux systems administration, containerized applications (Docker/Kubernetes), cloud networking, IAM, security hardening, and observability platforms.…See more Responsibilities include supporting production Kubernetes clusters (EKS), implementing Infrastructure as Code (Terraform/CloudFormation), integrating CI/CD pipelines, automating administration with Python/Bash, and troubleshooting complex issues across cloud, container, and application layers. The position demands strong security practices, compliance knowledge for government environments, and collaboration with cross-functional technical and operational teams.

Design, build, and operate secure, scalable DevOps platforms at enterprise scale, with deep expertise in Kubernetes, Jenkins, Docker, and CI/CD infrastructure. Manage containerized workloads, implement monitoring and observability, provision and operate AWS infrastructure, and ensure platform reliability through incident response and capacity planning.…See more The role requires 3+ years of IT experience (or 5+ without a degree) with strong Linux administration, hands-on Kubernetes and Docker expertise, Jenkins infrastructure administration at scale, and CI/CD platform knowledge. This is a hands-on engineering role focused on platform reliability, security hardening, and developer enablement.

The ideal DevSecOps Engineer will develop and maintain CI/CD pipelines using GitLab CI, build reusable pipeline components, and troubleshoot issues across the entire release process from source code through infrastructure and deployment. The role requires hands-on experience with GitLab CI, Microsoft Azure (including networking and virtualization), Infrastructure as Code (Bicep/Terraform), Linux, and Git-based workflows, with the ability to move fluidly between these areas to diagnose and resolve deployment failures.…See more Candidates must have 4+ years of relevant DevSecOps, DevOps, software development, or infrastructure automation experience, plus CompTIA Security+ and Azure Administrator Associate (AZ-104) certifications. The role is within a DoD or highly regulated environment and requires the ability to obtain an active TS/SCI security clearance.

Platform Operations Engineer to build and operate healthcare infrastructure on AWS EKS, managing container environments, CI/CD pipelines via GitHub Actions, and observability stacks with Datadog and CloudWatch. Responsibilities include supporting reliability through SLI/SLO tracking, on-call rotations, and incident response; maintaining GitOps workflows with ArgoCD; and writing infrastructure automation in Python.…See more Requires 3+ years SRE/DevOps experience, hands-on AWS (VPC, IAM, EKS, RDS), Terraform or CloudFormation, Kubernetes, and familiarity with observability tools.

ServiceNow seeks a Staff Software Engineer (IC4) for their Data Platform Engineering organization to design, build, and operate cloud-native platform components and services on Kubernetes at scale. You will own well-scoped projects end-to-end, from design through production, collaborating with senior engineers and mentoring junior team members.…See more The role requires 8+ years of software development experience, 5+ years hands-on with Kubernetes, expertise in at least one major hyperscaler (AWS, Azure, GCP), and strong Go programming skills. You will focus on building operators, controllers, automation, and platform services that other teams depend on, with emphasis on reliability, scalability, operability, and infrastructure-as-code practices.

Senior Staff Software Engineer leading design and delivery of multi-tenant, distributed data platform services on Kubernetes at scale. You will mentor mid-level and junior engineers, architect highly available stateful workloads (databases, message queues, caches), and integrate AI into infrastructure and operational workflows.…See more The role requires 8+ years building production distributed systems, deep expertise in Kubernetes and at least one hyperscaler (AWS, Azure, GCP), and hands-on experience operating services like Postgres, Kafka, or Redis at scale with explicit HA, failover, and durability targets.

Senior Platform Engineer to design, build, and operate a cloud-native compute platform on AWS and Kubernetes. You will own platform security, scalability, and evolution through strategic initiatives and migration efforts, lead incident response and troubleshooting, and provide technical leadership and mentorship.…See more Requires 8+ years in platform/SRE/infrastructure engineering with deep AWS expertise, production Kubernetes experience, hands-on CI/CD (GitHub, GitHub Actions, Argo CD), Infrastructure as Code (Terraform/CDK), Kubernetes networking knowledge, and production observability/monitoring skills.

Senior or Staff Cloud Infrastructure Engineer responsible for designing and operating Crucible, a manufacturing-network software platform running across commercial cloud, government cloud, and on-premises environments. You will own infrastructure-as-code (Terraform, Helm, GitOps), Kubernetes production operations, cloud networking, identity and security controls, CI/CD pipelines, and observability tooling.…See more You'll work directly with software engineers to improve developer velocity, ensure production reliability, and support complex multi-environment deployments including GovCloud and air-gapped systems.

Staff Engineer who will design, build, and operate the Forge Platform—a distributed-systems foundation serving autonomy, ML Ops, simulation, and application teams. You will own architecture and technical standards for workflow orchestration, asynchronous processing, event-driven systems, and long-running service workflows while remaining hands-on in implementation, production troubleshooting, and reliability improvement.…See more Required: strong production experience with distributed systems, cloud-native platforms, or backend infrastructure; fluency in Go and Python; deep understanding of failure handling, consistency, fault tolerance, and state management; and ability to turn recurring infrastructure needs into reusable platform capabilities. You will work across Kubernetes, service networking, observability, and data pipelines to enable downstream teams to move faster on mission-critical systems.

Staff Engineer responsible for designing, building, and operating the Forge Platform—a distributed-systems foundation serving autonomy, ML, simulation, and test teams. You will architect cloud-native backend infrastructure, establish reusable platform capabilities, define technical standards, and remain hands-on in production troubleshooting, performance analysis, and reliability improvement.…See more Required: deep expertise in production distributed systems, Go and Python, workflow orchestration, and the ability to translate complex architecture into usable interfaces across multiple downstream teams.

Staff IT Cloud Engineer at Qualcomm responsible for designing, implementing, and operating enterprise cloud environments across AWS, OCI, and Azure. Establish CI/CD/GitOps operating models, manage Kubernetes platforms, drive cloud governance and FinOps practices, and mentor engineers on infrastructure modernization and platform reliability.…See more Requires 10+ years of cloud/DevOps experience with advanced Terraform, Kubernetes, and enterprise cloud platform expertise; strong hands-on background in AWS, OCI, or Azure with deep understanding of cloud networking, security, and observability.

This role combines software engineering leadership with lab automation integration and early-stage AI prototyping. You will own the translation layer between high-level workflow logic and low-level instrument control, deploy and maintain containerized services using Docker and Kubernetes with CI/CD practices, and build scalable Python applications connecting experimental readouts with downstream analysis tools.…See more You'll collaborate on incorporating AI-driven decision-making into automation workflows, mentor the automation engineering team, and help shape the technical roadmap for autonomous discovery systems.

Design and build platform engineering infrastructure, tools, and automation for cloud-native environments on AWS, using Infrastructure as Code (Terraform/CDK), CI/CD, and observability practices. Develop reusable modules, APIs, CLIs, and service templates that improve developer experience and enforce security, compliance, and cost controls.…See more Establish monitoring, logging, alerting, SLOs, and incident response practices; participate in 24x7 on-call rotation with a focus on production reliability and automation. Requires 7+ years in DevOps, SRE, platform engineering, or cloud operations with deep hands-on experience in multi-account AWS setups, GitOps, and observability platforms like Datadog or Prometheus.

Design, build, and operate scalable platform infrastructure across Azure, AWS, and private cloud environments using infrastructure-as-code, Kubernetes, and automation tooling. Develop reusable platform capabilities, CI/CD pipelines, and self-service infrastructure for engineering teams.…See more Own platform initiatives end-to-end from technical design through production operations, including deployment automation, configuration management, observability, and lifecycle management. Requires 7+ years of platform engineering or DevOps experience, strong hands-on proficiency with Terraform, Ansible, Python/Go, Kubernetes, and Linux systems administration.

The Site Reliability Engineer owns the reliability, scalability, and operational readiness of production services running on AWS and Kubernetes. Responsibilities include designing highly available infrastructure with Terraform and managed AWS services, building CI/CD pipelines with GitHub Actions and Argo CD, defining SLOs and implementing observability with Prometheus and Grafana, leading incident response, and automating operational work with Python, Go, or Bash.…See more The role requires 3–8 years of hands-on SRE or DevOps experience, production Kubernetes expertise, strong AWS and infrastructure-as-code knowledge, and proficiency with observability and deployment strategies.

Lead a team of 6–10 engineers building and operating core cloud-native platform services on Kubernetes and hyperscalers. Own end-to-end delivery, team development, and technical direction while staying hands-on with design reviews and architectural decisions.…See more Establish SLOs, on-call practices, and operational excellence across AWS, Azure, GCP, and on-prem environments. Act as a player-coach who combines people leadership with deep technical judgment on distributed systems, containers, CI/CD, and infrastructure-as-code.

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.

Staff Engineer leading the design and operation of Shield AI's data platform to support autonomous systems, ML workflows, and edge-to-cloud data flows. You will architect distributed storage and compute solutions, build first-party integrations for heterogeneous data sources, and establish operational standards for reliability, security, and observability.…See more The role requires deep expertise in data modeling, API design, distributed systems, Kubernetes infrastructure, and the ability to guide technical direction across autonomy, ML, test, and infrastructure teams.

Senior Software Engineer on the Data Platform team will design, build, and operate cloud-native platform features and services with Kubernetes and hyperscaler expertise. The role requires 5+ years of software development experience (or equivalent), hands-on production software delivery, and proficiency in Go or another systems language.…See more You'll own features end-to-end from design through production, write tests and instrumentation, participate in on-call, and mentor junior engineers through code review and pairing.

Build and integrate agentic AI systems with physical laboratory automation platforms (Hamilton, Tecan, Opentrons) and LIMS infrastructure to autonomously design, run, and refine chemistry and biology experiments. Design multi-agent orchestration architectures with state management, error recovery, and tool integration; prototype agent planning strategies and memory systems; deploy containerized services on Kubernetes with GitOps and CI/CD.…See more Work hands-on with chemists, biologists, and automation engineers to transition prototypes into production lab operations that measurably accelerate the Design-Make-Test-Analyze cycle.

Own and evolve the software translation layer between high-level workflow logic and low-level laboratory instrument control, integrating liquid handlers, plate readers, robotic workstations, and analytical instruments. Deploy and maintain containerized services using Docker, Kubernetes, GitOps, and CI/CD practices, building scalable Python applications and data pipelines that connect experimental readouts with LIMS and downstream analysis tools.…See more Collaborate with the team to prototype AI-driven decision-making and autonomous orchestration in lab workflows, evaluating LLM tooling and agent frameworks for practical applicability. Serve as a technical authority and mentor, influencing the broader technical roadmap for autonomous discovery systems and helping grow the automation engineering team's capability.

Design, build, and operate an enterprise Kubernetes platform at scale across Qualcomm, establishing organizational standards for cluster operations, GitOps workflows with Argo CD, and security policies using Kyverno and Cilium. Own platform reliability, observability (Datadog, Prometheus/Grafana), and cost efficiency while serving as technical authority for security governance and multi-cloud strategy.…See more Lead cross-organizational teams without direct authority, mentor staff engineers, drive technology evaluation across the CNCF landscape, and participate in on-call incident response including 24/7 coverage.

Senior DevOps Build Engineer responsible for designing and maintaining CI/CD pipelines, build automation, and artifact management systems across defense and government contract programs. The role owns end-to-end build and release engineering, standardizing compilation, packaging, versioning, and promotion across unclassified and controlled environments while integrating security and compliance checks into the build process.…See more Key responsibilities include pipeline design (GitLab CI, GitHub Actions, Jenkins), artifact repository management, build tooling development (Bash, Python, Bazel, Gradle), container image management, and infrastructure provisioning using Terraform. The position requires 8+ years of build/release engineering or DevOps experience, strong scripting skills, and U.S. citizenship with the ability to obtain a security clearance.

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.