Top Remote Linux Jobs in San Diego, CA

Leads business development and concept engineering for microelectronics water and wastewater treatment systems. Develops design bases, process alternatives, flow diagrams, equipment sizing, cost estimates, concept notes, and engineering services proposals. Coordinates process calculations, thermal and non-thermal treatment design, laboratory or pilot testing, internal reviews, client workshops, and customer responses while supporting sales and business development efforts.

Leads technical engagements with hyperscale datacenter customers and compute/networking vendors. Translates customer roadmaps and architecture requirements into product and technology inputs, evaluates emerging AI datacenter trends, supports sales and engineering teams with technical context, and develops conceptual demonstrations and technical marketing initiatives for 3M optical interconnect solutions.

Designs large-scale data platforms and distributed systems, develops automated data pipelines, establishes architecture standards, and improves platform scalability, resiliency, performance, and cost efficiency. Partners with engineering, product, security, cloud, and architecture teams to modernize workflows and establish governance, security, and observability practices. Leads architecture reviews, resolves technical decisions, mentors technical staff, and communicates strategy and risk to senior leadership.

Develop and coordinate 3D electrical BIM models using Revit, resolve multidisciplinary clashes, prepare technical drawings, schedules, and bills of materials, and support project delivery. Lead BIM coordination meetings, manage workflows and deadlines, improve modeling processes, enforce standards, and train junior designers. The role requires strong electrical design knowledge, BIM coordination experience, and proficiency with Revit, Navisworks or Revizto, Bluebeam, and collaboration platforms.

Design technical architectures and roadmaps for client projects and internal products. Lead technical strategy, evaluate technology and AI adoption, scope and estimate projects, participate in sales and executive discussions, and make build-versus-buy decisions. Solve critical engineering problems hands-on, review architecture and code, mentor technical leaders, and ensure scalable, secure, cost-effective delivery across remote distributed teams.

Leads software engineering teams, develops technical and people leaders, modernizes legacy customer-facing applications, and advances engineering practices. Partners with product, architecture, quality, DevOps, delivery, and business stakeholders to improve reliability, security, customer experience, adoption, and delivery speed. Drives CI/CD, automation, observability, resilience, cloud-native practices, and responsible adoption of AI-assisted software development while managing priorities, risks, dependencies, capacity, and organizational change.

Lead two engineering teams of 8–10 engineers, owning delivery, quality, capacity planning, sprint execution, OKRs, hiring, retention, and professional development. Establish scalable engineering processes, quality gates, testing standards, observability, and continuous improvement practices. Partner with Product Managers on roadmap execution while providing technical guidance on architecture, APIs, backend systems, infrastructure, and frontend platforms.

Build end-to-end product features with a backend focus: schema and API design, UI work in React/TypeScript, GCP/Terraform infrastructure, CI/CD, DB performance tuning, production ownership, and product decision-making using AI coding tools.

Lead and build Skan AI’s L2 technical escalation function. Manage senior engineers, establish escalation and incident processes, troubleshoot complex issues across data, networking, APIs, LLM applications, databases, and platform performance, and partner with Product Engineering on resolutions. Drive root-cause analysis, preventive improvements, documentation, knowledge management, customer communication, and operational metrics.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.