Top Linux Jobs in San Diego, CA

Lead the cloud infrastructure engineering team, owning platform reliability, roadmap, costs, capacity, vendor relationships, observability, incident response, and compliance readiness. Manage hiring, performance, and career development while partnering with product, device, data, and security teams. Establish standards across AWS, Kubernetes, Terraform, GitOps, CI/CD, and secure device-to-cloud communication as the company scales.

Build and maintain scalable full-stack digital experiences across multiple brands using Framer, React, APIs, middleware, and cloud integrations. Own features from discovery through deployment, testing, monitoring, and iteration. Develop automation and AI-enabled capabilities, implement CRO experiments, validate analytics, and improve accessibility, SEO, performance, and reliability. Collaborate with Product, Marketing, Design, IT, Analytics, Operations, vendors, and contractors to deliver secure, documented, and maintainable web solutions.

Lead ownership of end-to-end product features and services: design, build, ship, and operate systems (including AI/agent logic). Mentor small teams, make architecture decisions, ensure quality, observability, and responsible handling of health data, and align stakeholders across product, design, data and engineering.

Design, build, and operate backend services for stablecoin minting, burning, reserve accounting, reconciliation, settlement, and payments APIs. Integrate with banks, custodians, issuers, blockchains, and partner APIs while ensuring secure, observable, and reliable money movement. Build audit trails, monitoring, runbooks, and incident-response processes, and contribute to customer and operations workflows. Translate ambiguous business and compliance needs into robust technical systems.

Own BAMKO’s AWS and Cloudflare infrastructure end to end, improving availability, scalability, resilience, automation, monitoring, disaster recovery, and cost efficiency. Manage infrastructure as code, databases, production upgrades, backups, and the AWS Well-Architected improvement roadmap. Serve as the primary on-call resource for infrastructure incidents and lead post-incident reviews.

Leads enterprise Databricks platform architecture and Unity Catalog enablement for governed, scalable, cost-efficient data access. Defines platform vision, governance, access controls, metadata, lineage, observability, FinOps, APIs, and Lakehouse data architectures. Guides Spark, PySpark, and SQL pipeline design while partnering with engineering, data science, risk, and architecture teams. Mentors technical teams, establishes reusable standards, and drives enterprise adoption of Databricks as a managed data platform.

Build and deploy customer-facing software for enterprise pricing and approval workflows. You will embed with customers, lead technical discovery, deliver and maintain production solutions, convert custom integrations into core product features, and deploy AI agents using real customer data. The role requires strong engineering fundamentals, curiosity, ownership, comfort with ambiguity, clear communication, occasional customer travel, and in-person work in San Francisco.

Designs and supports colocation solutions for customer installations, including cabinets, cages, power, cooling, communications, and supporting infrastructure. Responsibilities include technical sales support, RFP responses, preliminary designs, capacity coordination, equipment selection, AutoCAD layouts, scope-of-work packages, and maintaining as-built drawings. The role requires datacenter design expertise, construction-document knowledge, customer communication, deadline management, and up to 25% regional travel.

Own backend systems and infrastructure end-to-end, designing, deploying, and scaling performant APIs and services on AWS using Node.js and TypeScript. Deliver reliable production code quickly, establish engineering best practices, make architectural tradeoffs, and collaborate with product engineers and stakeholders. The role emphasizes system ownership, scalability, performance, reliability, and effective use of AI-assisted development tools.

Design, engineer, install, start up and troubleshoot automation systems for electrical machine building. Program and debug PLCs, HMIs, VFDs and robotic systems. Read schematics, perform field installations, training, and data analysis, collaborate with teams, and provide customer support.