Top Remote Engineering Jobs

Develop and architect scalable iOS applications used by millions of customers. Lead mobile engineering practices involving clean architecture, dependency injection, performance optimization, testing, reliability monitoring, and maintainable code. Collaborate with Product, Design, and Engineering teams to deliver features, stay current with iOS technologies, and promote technical excellence across the iOS engineering community.

Own robotic application projects from customer requirements through deployment. Responsibilities include systems integration, sensor and motion-system integration, test protocol development, hardware validation, customer delivery and training, field-feedback iteration, and engineering definition using CAD, GD&T, drawings, and metrology. The role collaborates across mechanical, controls, software, and vision disciplines and may support aerospace manufacturing and MRO applications.

Leads architecture, automation, reliability, and evolution of secure cloud platforms supporting federal systems. Owns Infrastructure-as-Code, CI/CD, observability, incident response, disaster recovery, and platform standards. Partners across engineering, security, architecture, and product teams; evaluates technologies, leads technical decisions, and mentors engineers. Requires deep DevOps, infrastructure, Kubernetes, Terraform, cloud, scripting, and production troubleshooting expertise, along with technical leadership and ability to obtain Public Trust clearance.

Lead QA execution for a health tech platform across web, mobile, APIs, backend services, data pipelines, and AI/ML products. Develop automated test suites, coordinate manual and automated testing, validate data quality, support CI/CD integration, track defects and coverage, conduct regression and performance testing, mentor QA staff, and ensure HIPAA and healthcare compliance.

Interns build backend services, APIs, distributed systems, platform components, developer tools, and AI/ML infrastructure. Responsibilities span design, implementation, testing, deployment, maintenance, reliability, performance optimization, observability, and collaboration with Product, ML, Infrastructure, and customer-facing teams. The role is intended for undergraduate juniors and seniors graduating by June 2028 and offers mentorship through production-focused engineering work.

Leads the engineering organization, sets technical strategy, oversees managers, and guides architecture, reliability, security, scalability, CI/CD, and QA. Partners with Product, Design, AI, and Analytics leaders to deliver production-grade software and represent Engineering to executives, customers, partners, and investors. The role also owns recruiting, career development, headcount, vendors, cloud spend, compliance, and organizational processes while remaining hands-on when needed.

Leads enterprise network deployment and switch refresh projects across data centers and remote offices. Designs and implements routing, switching, SDA, spine-leaf, VXLAN, and LISP solutions; troubleshoots complex network issues; and develops deployment strategies, documentation, and configurations. Mentors engineers, collaborates with project teams and clients, researches networking technologies, and supports infrastructure modernization.

Manages and performs reliability and maintainability engineering for aircraft and commercial systems. Responsibilities include R&M analyses, predictions, allocations, metrics, reliability growth testing, failure review support, IHMS/BIT integration, FRACAS data collection, engineering change reviews, and reporting. The role requires an engineering-related bachelor's degree, four or more years of relevant experience, strong communication skills, Microsoft 365 proficiency, limited travel, U.S. citizenship, and eligibility for a Top Secret clearance.

Build and enhance Canopy’s accounting practice management platform across the full stack. Design REST APIs and microservices, develop React user experiences, manage PostgreSQL-backed systems, write tests, conduct code reviews, and own Docker, GitLab, and Kubernetes deployments. Collaborate with product, UX, QA, engineers, and customers to deliver scalable features, resolve technical debt, mentor teammates, and adopt AI-assisted engineering tools.

Develop production quantitative software for Man Systematic in partnership with quantitative researchers and portfolio managers. Responsibilities include onboarding datasets, implementing trading signals, building portfolio optimization and visualization tools, enhancing research platforms, and optimizing code using numerical algorithms and distributed computing. The role requires Python and scientific-stack expertise, large-scale data experience, production engineering practices, Linux, Git, databases, and collaboration across investment and technology teams.