Top Linux Jobs in San Diego, CA

Leads a full-stack engineering team developing customer-facing SaaS products across web, mobile, backend, and AI systems. Owns engineering strategy, architecture, reliability, security, privacy, delivery planning, product health, and measurable customer outcomes. Partners with Product, Design, and customer-facing teams to define and ship products, uses production data to guide priorities, and hires, develops, and manages engineering talent.

Leads architecture, delivery, reliability, modernization, and operations for enterprise finance and operations technology platforms. Manages and mentors engineering teams while remaining hands-on in architecture, design, delivery planning, and complex problem solving. Partners with Finance, Treasury, Operations, Data Engineering, Security, and Risk stakeholders to deliver automation, integrations, data infrastructure, reporting, and regulatory workflows. Oversees cloud, distributed systems, CI/CD, observability, security, incident management, disaster recovery, and engineering talent development.

Build foundational infrastructure, large-scale data extraction systems, agent architectures, data access policies, and production AI agents for enterprise customers. The role also involves cross-stack technical design, production debugging, customer-driven solution development, and shaping the founding engineering culture. This is an in-person role in New York City five days per week.

Design and build backend systems, APIs, distributed data pipelines, and cloud-native workloads for a privacy-first healthcare platform. Process and query large datasets using Python, Spark, SQL, and AWS technologies. Lead technical projects and small engineering teams, mentor engineers, drive architecture and execution, and improve production system reliability, scalability, performance, security, and observability.

Own product surfaces end to end, spanning backend systems, APIs, user experience, deployment, observability, evaluations, and feedback loops. Work directly with AI companies and users to design products using models with memory. Prototype agentic products and internal tools, train models for demonstrations, develop telemetry and evaluations, collaborate with model researchers, and help establish product engineering standards.

Own embedded firmware across humanoid robots, from custom PCB bring-up through driver development, feature implementation, testing, and validation. Read schematics, validate processors and peripherals, develop low-level communication interfaces, and debug hardware-software issues. Collaborate with electrical, mechanical, controls, and software engineers to deliver reliable integrated systems.

Design, build, test, and maintain the mission behavior engine for robots across the stack: core behavior capabilities, scalable APIs, cloud integrations, AI/NLP configuration, and backend infrastructure. Own projects from design through deployment, collaborate with cross-functional teams, ensure quality via testing and CI, and drive architectural decisions.

Designs, builds, and deploys a Python-based production scheduling application connected to a SQL Server data warehouse. Develops AI/LLM scheduling capabilities, data pipelines, models, and Tableau or Power BI reports. Provides ERP support across finance, procurement, shipping, and operations modules; maintains databases and applications; gathers requirements; and leads integration and user acceptance testing. The role also supports SOX and CMMC compliance and continuous improvements in manufacturing scheduling and reporting.

Design, develop, and maintain RESTful APIs and scalable event-driven cloud solutions using TypeScript and AWS. Build infrastructure as code with AWS CDK, implement secure and highly available architectures, troubleshoot production issues, optimize performance, participate in technical planning and code reviews, document solutions, collaborate with teams and vendors, and mentor engineers on AWS best practices.

One-week, in-person Denver bootcamp for recent or upcoming graduates interested in becoming Forward Deployed Engineers. Participants build solutions on Palantir Foundry, including ontology models, data pipelines, and Workshop applications, while working alongside Unit8 engineers. Top performers may receive a job offer after completing the program. The unpaid program emphasizes hands-on building, systems thinking, fast learning, and comfort with ambiguous technical challenges.