Top Remote Ruby Jobs in Washington, DC

Build and operate scalable backend services and distributed systems for global payments. Design payment orchestration, ledgering, workflow engines, partner integrations, and public APIs. Own end-to-end projects, influence architecture and engineering standards, mentor teammates, and collaborate with product and engineering leadership to ship production-grade infrastructure.

Design and build scalable backend services and distributed systems powering global payments. Develop payment orchestration, ledgering, workflow engines, partner integrations, and public APIs. Influence architecture, own projects end-to-end, collaborate with product, mentor engineers, and operate production systems.

Lead a DevOps team to design, implement, and improve CI/CD, IaC, and cloud-native deployments (Kubernetes/AWS). Build automation, ensure scalability/high availability, enforce best practices, collaborate across teams, and support secure deployment to US Government classified environments.

The Senior Software Engineer will develop scalable systems for cash delivery, improve developer workflows, and collaborate with teams to enhance program delivery.

Own and patch Chromium/Firefox C++ source to build an in-house stealth browser. Fix fingerprinting at the engine level (navigator, WebGL, canvas, fonts, Client Hints), eliminate CDP leaks, maintain per-OS fingerprint profiles, continuously rebase patches, build validation tooling, and debug detection issues to keep automation indistinguishable from real users.

The role involves designing authentication and authorization solutions, integrating applications with identity platforms, and maintaining security practices within identity services. A focus on collaboration with Security and Product teams is important.

The Senior Full Stack Software Engineer will oversee technical development in a B2B SaaS healthcare environment, mentor junior engineers, and lead product features.

Develop and enhance product features, specifically focusing on third-party integrations and application management while ensuring scalability and improving customer experiences.

Lead the vision, strategy, and architecture for observability and reliability platforms. Define SLOs/SLIs/SLAs, implement monitoring/alerting automation, lead incident response and post-incident analysis, evaluate tools, and mentor engineering teams to improve resilience, scalability, and reliability across multi-cloud environments.

Design, implement, and operate large-scale, low-latency cloud data processing systems on OCI. Contribute across the software lifecycle, optimize data pipelines, ensure high availability and disaster recovery, and collaborate on design, deployment, monitoring, and production support.

As a Software Engineer on the Edge team, you will own edge networking configuration, manage DNS, and improve observability while shaping the team's engineering practices.

Design, build, and maintain Ruby on Rails APIs and React frontends; architect and optimize PostgreSQL schemas and queries; manage Docker/Kubernetes services and Terraform IaC; implement PKI/mTLS and secure authentication; solve offline data serialization/synchronization; own CI/CD pipelines and support mission-critical field deployments.

Build and iterate on Growth product features and platforms to improve user activation and developer onboarding. Run A/B experiments, collaborate with Product and Design, write well-tested code, contribute to engineering best practices, and help scale event-driven infrastructure and growth tooling.

The Senior Software Engineer will work on full-stack deliverables, manage support tickets, and enhance the tech stack for improved efficiency, focusing on analytics and automation in OOH advertising.

As a Software Engineer at MerusCase, you will develop and enhance software features, collaborate with teams, troubleshoot issues, and uphold coding standards while mentoring junior engineers.

Lead platforms engineering for scalable cloud infrastructure: design and implement Kubernetes-based systems, optimize data pipelines with AI, refactor stateful services to be stateless, improve autoscaling and reliability, own data ingestion/export, build internal developer tools, enforce security and testing standards, mentor engineers, and participate in on-call rotations.

The Backend Engineer will improve reliability and scalability of services, develop new services, and analyze operational efficiencies while collaborating closely with the engineering team.

Serve as a technical partner between Customer Success and Engineering to resolve complex enterprise escalations, debug live production systems, perform root cause analysis, build scripts and diagnostic tools for self-service, and participate in a rotating on-call schedule to ensure fast, expert client resolution.

The Senior Data Engineer will optimize data ingestion pipelines, manage PostgreSQL databases, design ETL processes, and ensure system reliability in a remote-first, collaborative environment.

As a Software Engineer, you will develop and maintain features using AI-assisted tools, collaborate with teams, and enhance software solutions for better user insights.

As a Senior Software Engineer, you will deliver software solutions for clients, teach agile practices, and ensure project success through collaboration. You will work directly with teams and clients to implement effective software development methodologies.

As a Full Stack Software Engineer at Goodbill, you'll develop data systems and user experiences, work with diverse data sources, and integrate AI features, ensuring high-quality consumer-facing applications.

The Integration Engineer will lead client onboarding for fraud and compliance products, manage integrations, analyze requirements, and support clients throughout the process.

Develop and ship backend and frontend features that improve school-family communication. Collaborate with product and design, champion AI/LLM-driven workflows, build scalable secure services on AWS, evolve monolithic systems, participate in code reviews, and help shape architecture.

Build and maintain full-stack product features, backend services, APIs, data pipelines, and AI integrations to transform customer interaction data into AI-powered experiences. Collaborate with cross-functional teams to design, test, and support production systems, internal tools, and user-facing interfaces. Own ambiguous problems end-to-end and raise engineering quality across the data and AI platform.