Top Remote Software Engineer Jobs

Build and own large-scale backend and full-stack systems supporting AI agents, data integrations, sync engines, and construction financial products. Design major subsystems, make architecture and build-versus-buy decisions, debug complex production issues, improve scalability and performance, and mentor engineers. Work across cloud infrastructure, distributed systems, legacy on-premise integrations, caching, data consistency, and AI-powered workflows while collaborating directly with founders and customers.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Design and scale highly available backend services for an AI-powered manufacturing platform. Build AWS-based event-driven systems with Node.js, REST/GraphQL APIs, and database integrations. Use AI coding agents while validating correctness, write tests and documentation, improve observability and reliability, debug production issues, and collaborate with product, frontend, and infrastructure teams. Contribute to technical design, code reviews, engineering best practices, and responsible adoption of AI-assisted development.

Build and operate distributed systems powering Lambda’s GPU cloud, including APIs, control planes, schedulers, workflows, and operational tooling. Own systems through architecture, implementation, deployment, observability, on-call, incident response, and continuous improvement. Improve reliability, performance, security, and scalability while collaborating across infrastructure, networking, storage, security, and SRE teams. Senior engineers lead complex domain work; Staff engineers shape cross-team architecture and mentor others.

Design and build Lambda’s managed Kubernetes platform for large-scale AI workloads. Responsibilities include developing control-plane services, operators, controllers, cluster lifecycle automation, GPU-aware scheduling, inference infrastructure, autoscaling, internal deployment tools, observability, and production support. The role requires deep Kubernetes and distributed systems expertise, strong Go and Python skills, and collaboration across networking, storage, compute, and AI infrastructure teams.

Design and build Lambda’s managed Kubernetes platform for large-scale AI workloads. Responsibilities include developing control-plane services, operators, controllers, cluster lifecycle automation, GPU-aware scheduling, inference platform services, internal deployment tools, observability, and resilient distributed systems. The role involves collaboration across networking, storage, compute, and security teams, production troubleshooting, and participation in an on-call rotation.

Build and operate distributed systems powering Lambda’s GPU cloud, including APIs, control planes, schedulers, workflows, and operational tooling. Own systems through design, implementation, deployment, observability, on-call, incident response, and continuous improvement. Improve reliability, performance, security, scalability, and operability while collaborating across infrastructure, networking, storage, security, SRE, and product teams. Senior engineers lead complex team-level work; Staff engineers additionally shape cross-team architecture and mentorship.

Designs and directs development of scalable software systems using AI-assisted engineering practices. Owns architecture, APIs, data models, testing strategy, security, reliability, observability, deployment, and production operations. Decomposes work for AI agents, validates generated code and tests, leads incident response, and coaches engineers on effective AI-enabled development. Requires full-stack experience, modern server-side development, event-driven systems, cloud infrastructure, regulated-data security, and production use of agentic AI.

Design, build, and operate scalable backend services for a digital mortgage platform using Node.js, TypeScript, PostgreSQL, MongoDB, AWS, and Docker. Responsibilities include API and data architecture, cloud deployment, reliability and security, production troubleshooting, performance optimization, observability, and CI/CD collaboration. The role leads technical design and code reviews, mentors engineers, coordinates with global teams, and owns major engineering workstreams.

Lead development and operation of a scalable Kubernetes-based cloud-native platform. Shape the engineering roadmap, deliver enterprise platform capabilities, establish best practices, mentor engineers, and collaborate across Agile teams. Build highly available and fault-tolerant production services using Kubernetes and cloud-native technologies, while applying expertise in Go, Python or Bash, networking, Linux, and CI/CD practices.

Develop and deliver high-volume enterprise applications across the full software development lifecycle. Design, code, test, debug, optimize SQL solutions, troubleshoot complex issues, contribute to scalable architecture, collaborate with technical and business stakeholders, and mentor other developers. Work independently while participating in Agile development and production implementation.

Develop and support high-volume, mission-critical web applications across the full software development lifecycle. Build with TypeScript, JavaScript, Next.js, and SQL; deploy and operate applications in Microsoft Azure; use AI-assisted development tools; troubleshoot complex technical issues; make architectural decisions; and mentor other engineers. The role requires multi-tier system development, database optimization, Agile collaboration, and proactive delivery of reliable, high-quality software.

Own and evolve enterprise AWS infrastructure, governance, security, identity, networking, and shared platforms. Build and operate full-stack services in TypeScript and Python, automate infrastructure and delivery, improve monitoring and reliability, manage incidents and on-call operations, and establish audit-ready controls. Partner across engineering and IT, improve production readiness, and mentor engineers while delivering secure, scalable, low-blast-radius systems.

Build and own full-stack features across patient, clinician, and operational healthcare products. Responsibilities include architecture, scalable coding, testing, CI/CD, code review, technical discussions, stakeholder collaboration, and mentoring. The role requires daily use of AI coding tools and ownership of projects from ideation through rollout. Experience with healthcare, EHR integrations, regulated domains, or consumer startups is beneficial.

Own ambiguous, cross-team product engineering problems from framing through launch and iteration. Partner with product, design, and data; lead architecture, reliability, performance, and technical decisions across the stack. Influence teams without formal authority, mentor engineers, improve engineering practices, use metrics and experimentation, and apply AI throughout software development. Participate in on-call support.

Lead design and implementation of Pinterest's exabyte-scale data lake storage and metadata systems. Drive architecture and execution for scalable storage features supporting large ML/AI workloads, collaborate across data/ML/infrastructure teams, and contribute to open-source projects (Iceberg, Spark, Flink).

Own the design, development, and automation of Coinbase’s routing infrastructure connecting services to Kubernetes backends. Build scalable capabilities using Envoy, Istio, Ambient Mesh, and SPIFFE; improve routing latency, reliability, and performance; enhance developer tooling with responsible AI; and collaborate with security, reliability, and observability teams to resolve complex distributed-systems issues.

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.

Lead the architecture, development, testing, and maintenance of scalable backend systems and APIs. Drive technical decisions, code quality, performance optimization, documentation, continuous delivery, and monitoring. Collaborate with product, design, and engineering teams to translate requirements into reliable solutions. Mentor junior engineers, conduct code reviews, resolve complex technical issues, and contribute to agile development and overall technology strategy.

Develop and deploy Java applications and microservices on RHEL/Linux, support containerized hosting and VMware hypervisors, create scripts and deployment automation, follow Agile processes, harden systems to DISA STIG/RMF guidance, and produce test plans and engineering documentation for PEO C4I baselines.

Design and develop high-performance optimization and scheduling systems for complex network-resource allocation problems. Translate network requirements into computational models, improve solution quality and scalability, and evolve solver architecture for reliability. Responsibilities include managing project priorities, designing, testing, debugging, and maintaining production software. Preferred experience includes numerical optimization, solver development, performance profiling, distributed or cloud computing, and telecommunications or networking.

We are looking for a Senior .NET Software Engineer to take ownership of features and drive architectural decisions while building AI-powered EMR software.

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

Designs and delivers full-stack software features for electromagnetic warfare test and mission systems. Integrates TCP/IP-connected radios, instruments, servers, and rack components; builds accessible Angular interfaces; supports system evaluation, installation, testing, and sustainment. Develops data pipelines, warehouses, visualizations, threat-signal processing, software distribution tools, and on-premises LLM assistants. Works in Agile and DevSecOps environments while tracking project hours and assisting with effort estimates.

Leads software architecture, full-stack delivery, cross-product integration, and technical quality for ARAT mission systems. Owns classified-enclave deployment, secure GitLab CI/CD pipelines, STIG compliance, RMF and information-assurance coordination, and Windows Army Gold Master compatibility. Establishes shared UI architecture and accessibility standards, designs enterprise test-data platforms and analytics strategies, and governs hybrid cloud, network security, identity, and cross-domain distribution across NIPR, SIPR, and JWICS. Mentors engineers and advises the Government on technical, security, data, and cloud investments.