Top Remote Backend Engineer Jobs

Lead technical direction and architecture for DAP Repository Flows, design and ship autonomous and scheduled agents that operate on customer repositories, improve DAP onboarding, collaborate across teams on platform interfaces, mentor engineers, and solve high-scale technical problems to raise engineering quality.

Design and implement scalable, secure inference services for speech processing. Optimize networking, audio transcoding, latency, memory, and distributed compute orchestration. Debug complex system issues, customize backend services for customers, and partner with Product to deliver end-to-end features.

Lead technical direction for a greenfield team building agentic/LLM-backed systems to reduce SDLC friction. Drive discovery through shipping, apply distributed-systems judgment at scale, mentor engineers, own technical hiring and cross-team alignment, and evaluate correctness and safety of agentic workflows.

Build and maintain agentic workflow components and the platform requirements knowledge base to ensure features ship across GitLabs deployment targets. Implement integration surfaces (issues, MRs, design docs, CI/CD), collaborate with platform teams to translate expertise into structured requirements, and write tests, documentation, and evaluations for agentic-workflow behavior and assessment accuracy.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

As a Backend Engineer, you'll improve Git and Gitaly by contributing features, bug fixes, and performance improvements, collaborating with the open source community, and participating in architectural discussions.

Design, build, and maintain backend services powering Clerkie's platform. Improve reliability, performance, scalability, observability, and support feature development. Participate in technical design, cross-functional collaboration, documentation, and own projects end-to-end in a fast-moving startup environment.

As a Staff Backend Engineer, you'll design and operate backend services, lead technical initiatives, ensure reliability, and mentor team members in a remote-first setup.

As a Staff Engineer for Revenue, you'll shape technical vision and architecture for billing and pricing systems, ensuring correctness while enhancing cross-team collaboration.

As a Software Engineer on the Compute team, you will build and optimize systems for data processing, SQL querying, and improve the performance of code execution. You will tackle complex engineering challenges spanning backend data systems to frontend applications, ensuring efficiency and usability.

As a Sr. Software Engineer, Backend, you will develop AI-powered solutions for clinical documentation and medical coding, collaborating with cross-functional teams to enhance SaaS products and deliver actionable insights for healthcare organizations.

Develop, test, and improve the OT Security Platform as part of the Microsegmentation Product Team, ensuring high-quality software and architecture.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Design, build, and improve scalable backend systems that collect hard-to-access OSINT; build pipelines and ETL for messy data; collaborate with product and mission teams; mentor engineers and ensure reliable data delivery for DoD workflows.

The Senior Backend Engineer will enhance data integration infrastructure, manage internal systems, and collaborate with teams to execute engineering tasks for growth initiatives.

As a Senior Software Engineer, you'll own backend systems, mentor team members, and collaborate with product and design to build user-focused solutions.

Build, operate, and scale backend systems for card issuing and transaction processing. Break down projects, collaborate with product and cross-functional teams, write tested extensible code, support monitoring and on-call operations, and participate in team growth activities including interviews.

Build and operate ML training and serving infrastructure; design, develop, and launch backend systems; collaborate across teams to decompose projects; maintain availability through monitoring and on-call support; review and debug large codebases; contribute to hiring and team growth.

Lead design and implementation of Affirm's Lakehouse Platform using Iceberg, Spark, Snowflake, and cloud storage. Drive platform roadmap, governance, access controls, performance and cost optimization, analytics engineering best practices, observability, and on-call readiness. Partner cross-functionally, mentor engineers, and build scalable, secure, self-service data infrastructure and semantic/agentic data tools.

Design, build, and scale foundational platform services to ingest, process, and route internet-scale security events. Develop fault-tolerant microservices, CI/CD and DevOps tooling for detection-as-code, evolve unified detection management, drive observability and policy features, mentor engineers, and collaborate cross-functionally to deliver real-time detection generation.

The role involves leading backend engineering efforts to build scalable distributed systems, enhance APIs, and troubleshoot production issues. Candidates should possess expertise in backend languages and cloud engineering principles.

Build reliable AI-powered, agentic backend systems to remove friction across the software development lifecycle. Design multi-step orchestration, safety checks, and evaluation tooling; apply distributed-systems judgment; work across GitLab codebases and with a distributed team to productionize solutions that may become customer-facing.

The Backend Software Engineer will develop data ingestion pipelines, implement observability tools, and provide technical support while improving team collaboration.

Lead design and evolution of Hex's graph-based compute execution architecture. Optimize parallel execution, caching, and remote warehouse interactions. Instrument and diagnose performance, author technical proposals, mentor engineers, and roadmap long-term platform designs while remaining hands-on in backend code.

Lead backend development for Dragos' OT security platform: design and implement high-performance systems in Rust, optimize architectures, participate across the development lifecycle, integrate databases and third-party data providers, incorporate AI tools, mentor senior engineers, and drive cross-team architectural decisions.