Top Remote Linux Jobs in San Diego, CA

Build and enhance cloud-based applications for mission-critical workloads. Responsibilities include designing, coding, testing, debugging, integrating, and deploying application modules; developing CI/CD pipelines; applying cloud-native, DevOps, security, scalability, and performance practices; and collaborating with project managers and development partners to deliver, monitor, and support cloud services.

Build and maintain engineering-led business systems supporting CRM, revenue operations, sales, and growth. Develop integrations, internal tooling, automations, and AI-powered production workflows across the modern go-to-market stack. Write and deploy code through Git and CI/CD, collaborate with non-engineering stakeholders, evaluate no-code and low-code solutions, and establish maintainable release practices for a growing Business Systems team.

Lead and grow a software engineering team while remaining hands-on technically. Drive technical roadmap, architecture, engineering quality, system performance, scalability, reliability, and security. Hire and mentor engineers, establish team objectives, coordinate with product and stakeholders, lead Agile ceremonies, manage performance, and participate in incident on-call rotations. The role requires full-stack development experience, cloud and SaaS familiarity, and expertise in backend systems, databases, integrations, and engineering best practices.

Own the architecture and technical direction for provider-sourced client products, including lead management, caseload migration, AI-powered inquiry workflows, and provider marketing tools. Partner cross-functionally with product, design, data, sales, customer experience, and pricing teams. Build reliable user-facing systems, guide technical decisions across teams, measure product impact through experimentation, and influence teams without direct authority.

Leads AWS cloud production management and site reliability engineering across business-critical services. Defines SLI/SLO practices, error budgets, observability, capacity planning, resiliency, infrastructure automation, and cost optimization. Drives major incident response, root-cause analysis, production readiness, disaster recovery, and durable remediation across engineering teams. Establishes responsible AI-assisted development practices and communicates complex technical strategies to leadership in a regulated environment.

Provides enterprise technical direction and hands-on architecture for scalable, cloud-based microservice SaaS applications. Designs and implements AWS DevOps infrastructure, deployment, observability, security, and application platforms. Mentors senior engineers and architects, coordinates development teams, evaluates technologies, troubleshoots code, supports architectural documentation, and translates business requirements into practical technology solutions. Requires expertise in Java, Python, Kubernetes, Docker, databases, event-driven architectures, and cloud application design.

Leads marketing technology architecture, integrations, platform governance, and technical enablement. Designs cloud-native, API-driven solutions across Adobe, Salesforce, CDP, CRM, analytics, and AI platforms; oversees data models, identity resolution, observability, security, and operational health. Manages roadmap prioritization, budgets, vendors, implementations, and a technical team. Establishes AI governance and enables responsible use of generative, predictive, and agentic capabilities across marketing and customer engagement workflows.

Leads cross-cutting engineering initiatives across eight product squads, including platform modernization, authentication, dependency health, and security. Manages and grows Staff Engineers, prioritizes shared technical work, evaluates tradeoffs, and influences R&D planning. Owns Ellevation’s security practice and relationship with the parent company’s central security organization, coordinating compliance, incident response, scanning, remediation, reporting, and security KPIs. Requires strong software engineering leadership, modern web and cloud expertise, security experience, and executive communication skills.

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

Build and ship a full-stack data collection and search platform for defense and intelligence users. Develop frontend, backend, data ingestion, storage, indexing, APIs, and agentic AI capabilities using TypeScript, React, Tailwind, Node.js, PostgreSQL, and AWS. Partner with mission owners, customers, designers, and engineers to translate intelligence workflows into intuitive, mission-ready products supporting information analysis and visualization.