Top Linux Jobs in San Diego, CA

Join SharkNinja's Quality Assurance team as a full-time co-op to execute manual tests on consumer and connected products, develop test cases and protocols, document defects, collaborate across teams, participate in sprints and standups, and help improve testing processes and troubleshooting for firmware-based devices.

Design, implement, and evolve complex backend features and architecture. Improve reliability, performance, and security at scale. Mentor engineers, participate in incident response, set backend standards, and integrate agentic AI into production workflows.

Design and implement backend and real-time features in the GitLab monolith for portfolio planning at scale. Optimize PostgreSQL performance, evolve APIs (GraphQL/REST), build capacity planning and work-item hierarchies, create proofs of concept, maintain automated tests, support safe rollouts with feature flags and observability, mentor contributors, and participate in on-call and production troubleshooting.

Build and maintain fault-tolerant bare-metal Kubernetes control planes and automated tooling using Python, Golang, and Bash. Perform day-2 maintenance, debugging, upgrades, reliability improvements with Grafana, design automated tests, and participate in on-call rotation.

Lead and grow a team building and operating Kubernetes on bare metal for high-performance AI workloads. Own execution, reliability, lifecycle management, automation, observability, incident response, and cross-functional partnerships while hiring, mentoring, and improving operational practices.

Lead development of Android client features, collaborate with cross-functional teams, mentor junior engineers, own major components, ensure code quality and best practices, participate in agile ceremonies, and advocate for mobile platform improvements.

Lead a team building distributed microservices and full-stack systems for Capital One Shopping. Drive cloud-based solutions using containers and AWS services, mentor engineers, collaborate with product managers, and experiment with emerging technologies to deliver scalable customer experiences and meet regulatory needs.

Lead architecture and implementation of high-throughput, low-latency global payment systems in the cloud. Drive technical vision, mentor engineers, evangelize AI-native patterns, remove technical debt, and partner with executives to deliver resilient, secure, and scalable payments infrastructure.

Lead design, build, and deploy scalable, reliable Java-based microservices in a cloud-native, event-driven AWS environment. Own backend feature design, code quality, automated testing, and FedRAMP release processes. Mentor engineers, participate in on-call/TechOps, integrate AI tools into development, and drive architecture, observability, and cross-team initiatives.

Design, develop, and maintain Java and Python services, REST APIs, and data pipelines. Work with Snowflake, Postgres, S3, DBT, and Airflow for data storage and transformation. Build CI/CD pipelines, containerize with Docker, write unit and integration tests, and collaborate with cross-functional teams in an Agile/Scrum environment while ensuring data security and compliance.

Lead design and implementation of scalable, cloud-native, event-driven microservices on AWS. Decompose monoliths, optimize relational/NoSQL data models, improve reliability, performance, and testing, collaborate with product, design, QA, and DevOps, and drive platform architecture and roadmap for a multi-tenant SaaS identity security platform.

Lead and grow the Data Safety engineering team to enable safe use of highly sensitive mental-health data. Own de-identification, access controls, entitlements, LLM data handling, and compliance audit evidence. Partner with Security, Legal, Compliance, Data Platform, and product teams to set roadmap, deliver privacy commitments, and enable company-wide safe data practices.

Lead and grow a 5–8 engineer team building measurement, segmentation, and ranking systems to demonstrate payer value. Set technical and operational roadmap, deliver externally committed launches and metrics, partner with Product/Clinical/Data, mentor engineers and tech leads, and ensure rigorous experimentation and metric guardrails to inform payer decisions.

Lead two cross-functional engineering teams (~8 engineers plus a manager) building measurement and network intelligence for outcomes and utilization. Own delivery of a company-level outcomes metric, set technical and operational roadmaps, partner with Product/Clinical/Data Science/Commercial, mentor engineers and managers, and balance quality and adoption while scaling data- and ML-heavy systems.

Own and evolve the Subscriptions and Payments backend: design APIs, integrate providers, improve reliability and scalability, lead architecture and code reviews, collaborate cross-functionally, and participate in on-call rotations.

Embed with customer-facing teams to gather requirements, write PRDs, and own feature delivery end-to-end. Build and ship fixes on a Ruby on Rails and React stack, use AI-enabled engineering workflows, handle P2/P3 support, escalate critical incidents, and collaborate on product prioritization and technical sequencing.

Embed with warehouse operations to discover problems, write PRDs, and own the roadmap for the internal Phoenix platform. Build and ship features on a Ruby on Rails + React stack, use AI-enabled engineering workflows, maintain docs, and collaborate with product and operations leadership to prioritize and deliver solutions for the Fresno site.

Support and maintain Epic technical infrastructure under senior mentorship: perform analysis, build and remediation tasks, participate in testing and troubleshooting, create deliverables, liaise with Epic representatives, and escalate issues. Learn Epic ecosystem and assist on client systems and projects while ensuring compliance and timely communications.

Design, build, test, and maintain scalable GraphQL and REST APIs and backend microservices for pharmacy digital products. Collaborate with product, UX, and engineering teams in Agile, use enterprise-approved AI tools to automate tasks, optimize API performance, and support cloud deployments and observability across AWS/Azure/GCP.

Lead architecture and technical strategy for an Amazon Connect-based enterprise contact center platform. Design scalable telephony, routing, analytics, observability, and GenAI integrations. Provide hands-on leadership, create accelerators, mentor engineers, translate stakeholder requirements, troubleshoot production issues, and produce architecture artifacts using collaborative design tools. Drive innovation, vendor alignment, and continuous improvement across cloud and contact-center technologies.

Develop and maintain scalable software as part of a scrum team. Write readable, maintainable code, participate in code reviews, collaborate on best practices, and apply object-oriented design. Learn and adopt new technologies, contribute to production deployments, and support a high-performing, team-oriented engineering environment.

Perform basic testing tasks and related duties as assigned. Role likely involves executing tests, reporting results, and supporting test processes.