Top Remote Engineering Jobs

The Project Development Engineer leads the engineering aspects of utility-scale wind, solar, and energy storage projects, ensures thorough evaluations, collaborates on project design and optimization, and oversees project development phases.

Lead and mentor a software engineering team, provide technical guidance, drive architecture and engineering excellence, manage sprint execution, collaborate on product roadmaps, ensure scalable and reliable systems, foster continuous improvement, and support recruiting and onboarding. The role requires balancing technical strategy with business impact while developing high-performing engineers.

Develop and optimize Oracle 19c SQL and PL/SQL solutions, including packages, procedures, functions, triggers, indexes, and execution plans. Tune high-volume transactional databases, monitor SQL with Oracle Enterprise Manager Cloud Control, prevent deadlocks, address plan degradation, and implement SQL profiles and baselines for production issues. Provide technical support, collaborate with stakeholders, and mentor Oracle developers.

Own and evolve enterprise AWS infrastructure, governance, security, identity, networking, and shared platforms. Build and operate full-stack services in TypeScript and Python, automate infrastructure and delivery, improve monitoring and reliability, manage incidents and on-call operations, and establish audit-ready controls. Partner across engineering and IT, improve production readiness, and mentor engineers while delivering secure, scalable, low-blast-radius systems.

Build scalable full-stack automation and AI systems for fraud detection, including intuitive interfaces, distributed systems, APIs, data flows, and infrastructure. Lead projects, collaborate with product and design, review code, develop new fraud-detection features, and deploy reliable software. The role requires strong software engineering fundamentals and experience with Python, Go, or Rust; React; Material UI; AWS; Terraform; SQL; and production systems.

Leads engineering efforts for automated warehouse projects from kickoff through site handover. Reviews technical data, creates approval and assembly drawings, coordinates PE-stamped designs, supports production and installation, sources materials, processes change orders, and collaborates with controls, software, supply chain, sales, vendors, and project management. Provides technical support during commissioning and site work while ensuring safety, regulatory compliance, project budgets, and integration with customer WCS and WES platforms.

Build and operate Kubernetes-based AI/ML infrastructure, including GPU scheduling, multi-tenant isolation, platform services, infrastructure as code, GitOps, CI/CD, observability, and reliability practices. Deploy reproducible platforms in cloud, restricted, and disconnected environments. Develop runbooks, support incident response, contribute to open-source infrastructure projects, and collaborate with security engineers and government stakeholders. The role requires production infrastructure experience, cloud expertise, programming skills, and eligibility for a U.S. security clearance.

Build and own full-stack features across patient, clinician, and operational healthcare products. Responsibilities include architecture, scalable coding, testing, CI/CD, code review, technical discussions, stakeholder collaboration, and mentoring. The role requires daily use of AI coding tools and ownership of projects from ideation through rollout. Experience with healthcare, EHR integrations, regulated domains, or consumer startups is beneficial.

Own ambiguous, cross-team product engineering problems from framing through launch and iteration. Partner with product, design, and data; lead architecture, reliability, performance, and technical decisions across the stack. Influence teams without formal authority, mentor engineers, improve engineering practices, use metrics and experimentation, and apply AI throughout software development. Participate in on-call support.

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.