Top Senior Ruby Jobs in Washington, DC

Develop and ship native iOS software for Ford’s customer-facing mobile app, serving millions of drivers worldwide. Responsibilities include contributing to product architecture and design reviews, evaluating technologies, writing documentation, collaborating with product and design teams, and delivering production-grade software using agile and CI/CD practices. The role emphasizes Swift, SwiftUI, mobile architecture, testing, observability, debugging, and operational support.

Design, deploy, and optimize Philo’s distributed video streaming infrastructure, including ingest, transcoding, packaging, delivery, RESTful services, analytics pipelines, DRM, and ad insertion. Improve platform reliability, performance, latency, security, video quality, and cost efficiency. Collaborate with content partners and internal video, advertising, client, and data teams while supporting streaming quality across new platforms. The role also involves architectural ownership, cloud operations, and mentoring.

Lead internal developer platform design, CI/CD standardization, AWS FinOps, and production Kubernetes operations. Manage EKS, Kafka/MSK, observability, incident response, infrastructure as code, cloud security, compliance, backup and recovery, and secure software development practices. Advise engineering teams on architecture and technical debt, apply AI to operational automation, improve reliability metrics, and mentor developers adopting internal tooling.

Build, monitor, and scale resilient cloud infrastructure across multi-region and multi-cloud environments. Develop Kubernetes controllers and infrastructure tools using Go, Python, Ruby, and Terraform; maintain Datadog observability; diagnose complex production performance and reliability issues; automate failover and capacity management; and collaborate with engineering teams on architecture and infrastructure improvements.

Design, build, operate, and scale GitLab Orbit backend services in Rust across distributed cloud-native environments. Improve Kubernetes deployments, infrastructure automation, observability, reliability, incident readiness, multi-tenant isolation, data workflows, graph query capabilities, indexing pipelines, cloud storage integrations, and API/MCP surfaces. Own technical designs through rollout while collaborating asynchronously with infrastructure, security, AI, data, delivery, and SRE teams.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.

Own and evolve Fieldwire’s cloud infrastructure, production systems, deployment tooling, and automation. Responsibilities include infrastructure design, IaC, CI/CD, reliability and performance management, incident response, monitoring and observability, security, architectural leadership, cross-team collaboration, mentoring, and on-call participation.

Install, configure, maintain, and secure Nokia’s Linux and Windows infrastructure, including physical and virtual servers, clusters, grids, and cloud environments. Monitor system health, performance, logs, metrics, and alerts; troubleshoot hardware and system issues; manage incidents; and implement automation using configuration management and scripting tools. Collaborate with data science and engineering teams on ML/AI workflows, provide Linux administration guidance, and maintain technical documentation.

Scale and improve the reliability, performance, and scalability of Fleetio’s Ruby on Rails application and infrastructure. Responsibilities include observability, incident response, AI-powered automation, database capacity planning, disaster recovery, backups, documentation, performance analysis, code review, and on-call participation. The role collaborates with engineering teams to address bottlenecks and adopt AI-driven reliability practices.

Build and scale highly available applications and services for Mux’s video platform. Develop customer-facing features across Elixir and Go backend services and React frontend applications, including billing, usage, identity, account management, webhooks, and alerting. Collaborate on technical roadmaps while solving distributed systems, concurrency, scheduling, scaling, and platform resilience challenges. Deploy complex applications using cloud platforms and Kubernetes.

Build and scale backend systems for a high-traffic donor CRM and payments platform. Own performant SQL and realtime querying, optimize payment flows, implement AI agents, and collaborate across product and design to ship resilient, production-grade features at scale.

Design and operate scalable, secure, highly available AWS infrastructure for a revenue management platform. Build infrastructure automation, CI/CD tooling, monitoring, and developer tools; advise on architecture, improve reliability and security, troubleshoot 24/7 incidents, lead root cause analyses, support AI-enabled DevOps workflows, and mentor engineers. The role participates in a weekly on-call rotation and is remote in the US or Canada.

Leads backend engineering for a payments platform by designing scalable Golang microservices and RESTful APIs, driving architecture, improving reliability and observability, and supporting production systems. Collaborates across product and engineering teams, participates in on-call operations, establishes SLOs and incident processes, manages technical debt, and mentors junior engineers.

Lead the design, development, and optimization of scalable web and mobile applications using Ruby on Rails, React, React Native, Docker, PostgreSQL, and AWS. Own architecture, APIs, data models, monitoring, performance, and code quality while collaborating with product, data, and DevOps teams. Provide technical leadership through system design, code reviews, mentoring, and continuous improvement in a remote-first healthcare technology environment.

Build and modernize Carrum Health’s data platform by developing Python and SQL pipelines, AWS services, Terraform infrastructure, dbt transformations, observability, testing, and CI/CD. Automate carrier integrations, reduce operational toil, improve reliability, and support Databricks adoption. Extend AI-assisted ingestion and classification using Bedrock and collaborate across engineering, analytics, data science, and client-facing teams. The role includes production ownership, incident response, technical documentation, and healthcare data platform development.

Senior Software Engineer responsible for shaping and delivering a new fundraising product from discovery through production. The role involves full-stack development, architecture, prototyping, customer collaboration, production troubleshooting, reliability improvements, and mentoring. The engineer will work autonomously in an early-stage business unit, use customer feedback and data to guide decisions, and contribute across interfaces, backend services, integrations, infrastructure, and AI-enabled workflows.

Design, develop, and implement scalable software solutions and modern applications for consumer banking. Collaborate in an Agile environment, contribute to architectural and design decisions, build distributed service-based components, and incorporate scalability, manageability, and maintainability. The engineer will work across multiple initiatives, collaborate with teammates, mentor engineers, and help deliver consumer-facing products.

Design, build, and own scalable multi-tenant SaaS applications across frontend, backend, and data layers. Improve system architecture, performance, reliability, and testing practices. Integrate AI-assisted tools, mentor engineers, conduct code reviews, and collaborate with Product and Design to deliver intuitive, production-grade software.

Build and optimize BizzyCar’s full-stack platform using Ruby on Rails APIs and Angular. Own features end to end, diagnose issues across UI, APIs, and data, guide architecture, mentor engineers, improve testing standards, and support multiple product domains including recalls, AI, and service systems.

Build and scale full-stack applications using Ruby on Rails, React, PostgreSQL, Docker, Kubernetes, and Terraform. Design APIs, data architectures, synchronization systems, infrastructure, and CI/CD pipelines for secure, reliable operation in disconnected and low-bandwidth environments. Collaborate across engineering, business development, and mission teams while supporting critical defense and public safety operations.

Build and scale reliable software systems supporting donor platforms, cash payments, and rapid-response programs. Own features end to end from architecture through deployment and monitoring, improve CI/CD and testing, troubleshoot production issues, and collaborate with product, operations, and data teams. The role also contributes to technical roadmaps and sustainable engineering practices in a mission-driven, fully remote organization.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.

Drive technical direction and architecture across teams for enterprise retail software. Improve platform reliability and performance, scope customer-facing features, mentor engineers, de-risk large work, and embed AI-native practices (LLMs/agents) into engineering workflows.

Build and scale full-stack applications, backend services, APIs, infrastructure, and user experiences supporting millions of users. Design reliable, high-performance systems; partner with Product, Design, and Data; own projects through deployment and optimization; improve observability and developer productivity; and support AI adoption through automation and AI-powered workflows.