Top Linux Jobs in San Diego, CA

Leads a team of cloud and site reliability engineers responsible for system reliability, performance, security, incident response, on-call health, automation, observability, resiliency, disaster recovery, business continuity, and cloud cost optimization. The role establishes engineering standards, manages operational workloads, mentors team members, supports recruiting, collaborates on platform engineering roadmaps, and promotes blameless continuous improvement.

Provides technical leadership for agile software engineering teams, architecting secure enterprise-scale IBM i systems and driving development, testing, reliability, and modernization. Leads AI-assisted engineering adoption with governance and validation standards, mentors engineers, manages technical debt and resiliency roadmaps, oversees incident troubleshooting, and partners with product and business stakeholders on technical strategy. Requires deep IBM i, DB2 for i, LANSA, integration, debugging, HA/DR, and legacy modernization expertise.

Leads architecture, development, debugging, resiliency, and operational stability for enterprise IBM i software systems. Establishes engineering standards, mentors teams, governs responsible AI-assisted development, and drives modernization, automation, technical debt remediation, and SDLC improvements. Oversees DB2, LANSA, IBM MQ, replication, Java and Python integrations, HA/DR strategies, incident response, performance optimization, and cross-functional technology roadmaps.

Design and implement optimization algorithms for electronic trading platforms, including trade scheduling for single-stock and portfolio products. Build production-grade algorithms, validate implementations, analyze model behavior, and develop statistical tools. Collaborate with quantitative researchers, technology teams, product teams, and trading desks to improve algorithmic trading strategies and deliver client-focused solutions.

Designs, develops, tests, and validates aerospace hardware components and systems. Responsibilities include collaborating with systems and software engineering teams, integrating hardware into system architectures, troubleshooting, conducting failure analysis, and ensuring compliance with performance, reliability, safety, customer, and aerospace certification standards.

Develop and improve aerospace component designs through fatigue, damage tolerance, fracture mechanics, and lifing analyses. Perform data analysis, mechanical testing, material characterization, and life prediction model validation for conventional and additively manufactured metallic and non-metallic components. Use NASGRO, DARWIN, FRANC3D, and ANSYS while collaborating with designers and engineering teams to meet technical, customer, and regulatory requirements.

Leads systems engineering for Honeywell’s Thunderbolt aerospace software platform. Responsibilities include requirements and design, software architecture and coding, integration, certification, testing, feature definition, customer support, verification and validation, and technical leadership. The role drives product goals, influences customer requirements and software methodology, applies simulation and engineering tools, develops technical solutions, and coaches engineers in safety-critical avionics development.

As a Fullstack Software Engineer, you'll design, develop, and maintain scalable frontend and backend systems while collaborating across teams.

Build and configure digital banking features for financial institution customers, solve novel technical challenges, extend APIs, prototype and scale solutions, automate workflows, and develop internal tools. Collaborate with Customer Success, Implementations, Product, and Engineering while identifying product gaps and communicating customer feedback to platform teams. The role is primarily in-person in New York City with occasional client travel.

Build customer-specific features, prototypes, APIs, automations, and scalable platform solutions for financial institution customers. Partner directly with clients and cross-functional teams to understand technical challenges, identify product gaps, and develop solutions. Contribute to broader platform engineering, re-architect initial implementations for scale, and create internal tools that streamline customer and implementation workflows.

Staff Software Engineer responsible for architecting and evolving billing, payment, and order systems supporting Squarespace’s monetization platform. The role provides technical leadership across high-visibility initiatives, translates system vision into project plans, leads cross-functional engineering efforts, mentors engineers, drives engineering best practices, and contributes code to critical backend services. Candidates need extensive experience with complex distributed systems, Java and related technologies, architecture decisions, and large-scale billing, ordering, or payment platforms.

Owns end-to-end manual testing, QA process design, bug triage, release coordination, test documentation, and quality culture across Product, Engineering, and Support. The role serves as the final QA gate for releases, validates software across configurations and environments, supports mobile and hardware testing, collaborates on CI/CD pipelines, and provides stakeholder reporting. It may also mentor or help grow the QA function and use automation and AI-agent tools to expand test coverage.

Designs, builds, deploys, and operates full-stack cloud-native applications across user interfaces, APIs, data platforms, infrastructure, and CI/CD. Owns technical vision for business capabilities, translates requirements into solutions, supports production systems, and participates in incident response and on-call rotations. The role also establishes observability, secure engineering, automated testing, DevSecOps, documentation, and AI-assisted development practices while mentoring engineers and providing technical leadership.

Designs, develops, tests, deploys, and supports cloud-native applications across UI, APIs, data platforms, infrastructure, CI/CD, and production operations. Builds REST and GraphQL integrations, applies secure engineering practices, uses AI-assisted development tools, contributes to automated testing and observability, participates in incident response and on-call rotations, and owns features through the software development lifecycle. Collaborates across product and engineering teams while mentoring Associate Builders.

Lead exploratory testing within R&D, uncovering risks that automated checks miss across complex, configuration-driven insurance systems. Develop test charters, risk models, coverage and testability maps, and clear bug, risk, and compliance narratives. Partner with Product and Engineering on specification-by-example, observability, testability, and release readiness. Build testing tools, evaluate AI-generated code and tests, coach quality practitioners, and support auditable quality decisions without owning release approval.

Lead reliability and production operations for Servicing and Recovery systems. Own observability, incident response, change management, automation, and adoption of AI-enabled tools. Design, code, test, debug, and guide teams to improve reliability, performance, and operational processes.

Lead reliability engineering and production operations for Servicing and Recovery platform: design, deploy, and maintain reliable services, own observability, incident response, automation, change management, and adopt AI-enabled tools to improve operational outcomes while guiding and escalating for less experienced engineers.

Leads data center infrastructure engineering service delivery, including technology lifecycle management, provisioning, changes, decommissioning, readiness gates, and standardized execution processes. Translates business priorities into scalable delivery plans and automation-ready workflows using ServiceNow. Advises enterprise leadership on complex technology solutions spanning infrastructure, networks, security, databases, operating systems, and web technologies while promoting risk management, innovation, and operational efficiency.