Top Remote Linux Jobs in San Diego, CA

Build scalable data pipelines, automation workflows, internal tools, and AI-powered quality-control systems. Lead data collection projects for frontier AI labs, establish quality frameworks, improve customer support processes, and manage cross-functional execution. Collaborate with technical and non-technical stakeholders to solve ambiguous operational challenges and deliver datasets and systems that improve advanced AI models.

Own enterprise deployments of Qodo’s Kubernetes-based platform in customer-managed AWS, GCP, and Azure environments. Install, configure, upgrade, troubleshoot, and optimize infrastructure, writing Python or Bash diagnostics and codifying repeatable processes with Terraform and Helm. Partner directly with customer engineering teams, resolve complex networking and access issues, maintain PostgreSQL and Redis infrastructure, and improve deployment reliability through automation and documentation.

Own and improve the company’s backend data and orchestration platform, including external integrations, event-driven pipelines, storage, monitoring, backend services, infrastructure, security, and access management. Build reliable systems with freshness and quality checks, simplify a rapidly grown data environment, document processes, communicate trade-offs, and guide junior engineers. The role requires hands-on production ownership in a remote, fast-paced company.

Founding Engineer responsible for building mobile development tools across cloud services, CLI, frameworks, compilers, runtimes, deployment systems, and web consoles. The role involves owning features end to end, working across the stack, learning unfamiliar codebases quickly, engaging directly with customers, and contributing to products including Code Push, analytics, crash reporting, build systems, and AI-assisted mobile development tools. Candidates should have strong expertise in mobile, backend/cloud, or systems engineering and experience shipping production software.

Leads technical onboarding and integration of clinical, claims, EMR, payer, and vendor data. Coordinates APIs, SFTP feeds, ETL pipelines, system deployments, documentation, data QA, troubleshooting, go-live planning, and post-implementation support. Acts as the technical liaison among clinical, business, engineering, vendor, and client stakeholders while translating requirements into configurations and workflows.

Design and implement scalable, secure cloud architectures; collaborate with cross-functional teams to develop cloud strategies; optimize infrastructure for performance, cost, and security; integrate cloud solutions with existing systems; evaluate emerging cloud technologies; ensure compliance with industry standards; and drive cloud service innovation to improve healthcare delivery.

Manage and enhance enterprise applications, including Salesforce. Oversee system administration, configuration, integrations, and strategy, partnering with various teams to ensure reliable systems.

Leads engineering design and coordinates multiple disciplines for assigned project areas or process units. Oversees quality, schedules, costs, client communications, design approvals, technical documentation, equipment inquiries, requisitions, audits, and project change orders. May supervise project engineers, discipline leads, and engineering support personnel. Requires an engineering degree, substantial project and discipline experience, and proficiency with engineering and reporting systems.

Own end-to-end deployments of Prividium for institutional financial customers, including integration code, permissioning, node topology, upgrades, and operational runbooks. Build reference applications for collateral, tokenized deposits, and settlement. Operate production infrastructure through an on-call rotation, troubleshoot incidents, and convert deployment learnings into platform improvements. Collaborate with product, sales, core engineering, and customer teams while working across regulated banking systems or crypto infrastructure.

Develop and execute verification plans for complex SoC designs, including RISC-V cores, networks, and peripheral integrations. Build UVM/SystemVerilog testbenches, write constrained-random and directed tests, implement ISA compliance testing, analyze functional coverage, run regressions, debug failures, and drive bug closure. Collaborate with RTL, architecture, and software teams while improving verification methodologies and automation scripts.