Top Remote Engineering Jobs

The role involves designing, developing, and maintaining software applications. Collaboration with cross-functional teams is expected, alongside optimizing existing systems.

Lead the Methods and Insights engineering teams, overseeing hiring, coaching, performance management, delivery, operational health, architecture, and developer experience. Partner with product leaders and founders to sequence work, manage risk, improve engineering processes, and ship reliable systems. Build AI-agent development practices, shared components, CI gates, conventions, and harnesses that help engineers move quickly while maintaining quality.

Build and shape front-end web applications for a rapidly growing B2B2C SaaS parking platform. Make architectural and design decisions, improve user experience, contribute productively with AI assistance, and help establish engineering practices in a startup environment. The role requires strong commercial front-end experience and collaboration with engineering leadership. Remote work is available, but occasional travel to San Francisco is required.

Four-month, fully remote software engineering internship embedded within Wikimedia Foundation engineering teams. Interns complete a primary project with defined deliverables while learning through mentorship and hands-on work across mobile applications, editing tools, data platforms, release engineering, cloud infrastructure, observability, and contributor connection systems. The program requires 40 hours per week, independent problem-solving, collaborative communication, and foundational programming, database, scripting, and potentially SQL, Linux, networking, operating systems, or distributed-systems knowledge.

Leads software engineering for administrative and reporting tools, overseeing web and service integration architecture, development practices, scalability, testing, and production transitions. Designs full-stack solutions using Java EE and Angular, tunes SQL performance, manages feature delivery, and collaborates with UX/UI, product, architecture, and development teams. Coaches and trains full-stack developers while communicating technical solutions to stakeholders.

Lead the PayIn engineering organization responsible for payment acceptance, recurring billing, funding, transfers, reconciliation, processor integrations, and payment intelligence. Build and retain a high-performing team, scale reliable backend systems, establish SLOs and observability, improve release safety, and partner with Product, AI, and Risk Engineering. The role requires deep payments expertise, strong backend and distributed-systems experience, and the judgment to make technical and people decisions for business-critical services.

Designs and engineers electronic security solutions, including burglar and fire alarms, video surveillance, access control, and integrated systems. Creates plans, wiring diagrams, estimates, programming guides, installation documentation, and customer recommendations. Calculates wiring, power, network, and mounting requirements; develops panel programs; produces quotes; and supports project teams, technicians, customers, and junior designers. Uses AutoCAD, BlueBeam, Microsoft Dynamics 365, Experlogix, and related technical tools.

Leads comprehensive testing for a state SNAP EBT system, including test planning, integration, performance, end-to-end, user acceptance, regression, security, recovery, and fail-safe testing. Coordinates the state agency and EBT processor, establishes test procedures and Go/No-Go criteria, manages defects, trains business users, maintains requirements traceability, develops contingency plans, and prepares formal results for USDA/FNS review.

Leads data engineering teams while designing and optimizing scalable batch and real-time data pipelines on cloud platforms. Responsibilities include developing PySpark and Spark workflows, orchestrating Airflow DAGs, managing cloud infrastructure, implementing CI/CD, improving data quality and performance, and mentoring engineers. The role collaborates with clients, product, architecture, and program management teams, while applying generative AI and DevOps practices to improve engineering productivity and operational efficiency.

Build challenging AI coding tasks from familiar repositories, including task briefs, correct solutions, grading checks, stress tests, and model evaluations. Revise tasks through quality review and produce work suitable for training and assessing AI coding models. Requires at least 10 hours weekly and strong software engineering, testing, repository, and AI coding tool experience.