Top Remote Engineering Jobs

Develop and maintain full-stack web applications for a federal environmental data client. Responsibilities include participating in Agile SDLC activities, designing and implementing scalable software, collaborating with analysts and stakeholders, testing and deploying applications, maintaining technical documentation, following development best practices, and recommending modern tools and technologies. The role requires AWS, TypeScript, Node.js, React or Angular, PostgreSQL, event-driven architecture, and strong communication skills.

Design, build, and maintain automation and control systems for bioreactors and bioprocessing equipment. Tune and troubleshoot PID control loops, improve system reliability through monitoring and fault recovery, and develop safe interfaces between cloud software and physical devices. Build sensor, actuator, and embedded-controller integrations while collaborating across mechanical, electrical, process, and software engineering teams to deliver robust, scalable automation solutions.

Operate and automate the companys data infrastructure as an SRE: build IaC and self-service tooling for provisioning, scaling, failover, and recovery; optimize relational and non-relational datastores; define SLOs and observability; integrate pipelines and messaging systems; participate in on-call and incident response; reduce operational toil.

Designs, builds, tests, deploys, and optimizes full-stack product features using React and Python. Develops GraphQL integrations, scalable backend services, data visualizations, analytics instrumentation, and production-ready platform capabilities. Contributes to UX workflows, CI/CD, monitoring, code quality, and stakeholder updates while collaborating in agile sprints and evaluating new technologies.

Own the enterprise test automation strategy, scale a Playwright and JavaScript framework, expand coverage across Salesforce, MuleSoft, D365, and reporting systems, and build scalable execution and reporting infrastructure. Design QA standards, metrics, and review processes while developing AI-powered agents with Cursor for performance testing, regression analysis, and defect triage. Partner with engineering, product, business, and AI platform teams to deliver governed, reusable quality tooling.

Develop and maintain Python-based automated test frameworks for software-, hardware-, and model-in-the-loop environments supporting power plant controllers and SCADA systems. Define verification and validation plans, integrate testing into CI/CD pipelines, execute tests across multiple environments, investigate requirements, analyze failures, and perform root cause analysis using engineering tools and telemetry. Collaborate with controls and systems teams to ensure reliable production-ready software.

Designs and maintains scalable AWS infrastructure, Kubernetes environments, Terraform-based IaC, and CI/CD pipelines. Integrates MLOps and DevSecOps practices, automates deployment and system administration, monitors performance and cost, supports incident response, and collaborates with engineering teams to improve platform architecture and reliability.

Own spacecraft power units from requirements through design, supplier management, verification, and acceptance. Design power electronics boards involving switching, protection, current limiting, conversion, interfaces, and fault handling. Perform part selection, schematic capture, worst-case and derating analysis, board bring-up, testing, and debugging. Manage supplier specifications and design reviews, support spacecraft electrical integration, and contribute to power budgets, grounding, EMI/EMC, and system architecture trades for a 15-year GEO mission.

Architect and lead RapidFort’s scalable build platform for producing hardened container images. Responsibilities include designing distributed build systems, automating image creation and validation, improving reliability and performance, solving Linux and container infrastructure challenges, establishing software supply chain standards, influencing cross-team architecture, and mentoring engineers. The role requires deep expertise in Linux, Docker, Kubernetes, Python, Bash, CI/CD, distributed systems, and build automation.

Deploy and support distributed SaaS and on-premise infrastructure, gather customer requirements, adapt deployment manifests, monitor platform health, troubleshoot issues, package releases, and automate release pipelines across Kubernetes and AWS, GCP, and Azure environments.