Top Entry Level Linux Jobs in San Diego, CA

Rotational early-career Quality Engineers develop and maintain automated tests, CI pipelines, and validation strategies for complex distributed software systems. Participants rotate across product teams, investigate bugs and regressions, perform performance and security testing, and apply debugging and system-level analysis. The program includes onboarding, mentorship, and potential transition into a permanent role focused on test automation, performance engineering, or security testing.

Deploy, operate, and maintain scalable Palantir infrastructure and services for government customers. Responsibilities include monitoring, configuration management, upgrades, migrations, troubleshooting production issues, optimizing reliability, supporting on-call operations, automating manual workflows, and developing infrastructure solutions for Foundry and Apollo platforms.

Summer 2027 internship opportunities at a defense technology company developing autonomous robotic systems. Interns may work on software connecting sensors, computer vision, and control systems; real-time systems; embedded Linux applications; internal tools; or backend and full-stack projects. Candidates should be pursuing a relevant degree, have coursework or projects using C++, Python, Kotlin, or Java, and demonstrate interest in embedded or systems-level software and a hands-on builder mindset.

Leads and manages a software engineering team focused on growth initiatives including member acquisition, retention, revenue generation, experimentation, referrals, and global expansion. Defines technical strategy and architecture, collaborates with product, design, finance, and marketing, and ensures strong development, testing, and deployment practices. Provides mentorship, performance feedback, and coaching while fostering innovation, psychological safety, teamwork, and continuous learning.

Owns resilience, performance, scalability, and operational cost improvements for a cloud-native platform. Designs and delivers full-stack solutions, builds monitoring and analysis capabilities, performs architectural and code reviews, and resolves complex production issues. The role requires pragmatic modernization judgment, AI-assisted development experience, customer or user accountability, and participation in a weekend on-call rotation.

Conduct quantitative research on exchange technology and large datasets, design strategies for ultra-low-latency trading, and develop AI agents, ETL pipelines, and Python algorithms. Reverse-engineer and stress-test network and systems technologies, collaborating with traders and hardware and software engineers to optimize liquidity-taking and quoting strategies.

Supports sustaining engineering for DigitalOcean’s server fleet, including hardware, firmware, cabling, and networking throughout their operational lifecycle. Responsibilities include monitoring and resolving Jira issues, providing Tier 2 escalation support, participating in 24/7 on-call rotation, developing operational standards, creating tooling and runbooks, coordinating monitoring and alerting, troubleshooting failures, and collaborating with infrastructure, firmware, qualification, and operations teams.

Own the company’s revenue infrastructure, including usage-based API billing, metering, quotas, spend caps, tiered plans, invoicing, affiliate commission ingestion, attribution, reconciliation, and ledger integrity. Build and operate the billing spine using TypeScript, Node.js, and PostgreSQL, ensuring idempotent processing, accurate financial reporting, and reliable cutover from free to paid API access. Make architecture decisions, verify agent-produced code, instrument failures, and protect production revenue correctness.

Lead the Web Infrastructure team responsible for Notion’s web client architecture, performance, reliability, and shared design systems. Build and manage engineering teams and managers, recruit and develop engineers, facilitate planning and prioritization, maintain high engineering quality, and drive consistent delivery. Partner across the organization to shape technical practices, hiring, onboarding, and management processes while balancing product, technology, and people priorities.

Own the end-to-end process of transforming partner workflows into evaluation datasets and reinforcement learning environments. Work directly with AI researchers, executives, and organizational leaders to identify capability gaps, manage technical and relationship lifecycles, shape the product roadmap, and build reusable infrastructure that improves partner onboarding. The role requires strong engineering, communication, systems thinking, judgment, ownership, and comfort in an ambiguous, high-intensity environment.