Top Remote Staff Software Engineer Jobs

As a Senior/Staff Software Engineer, you will design and implement products, guide other engineers, and drive innovation in health data solutions.

Design, build, and maintain end-to-end, accessible, secure full-stack software for a federal health/civilian agency. Build Section 508-compliant UIs, backend APIs, and services; follow API-first, CI/CD, automated testing, and security best practices; identify and remediate technical debt; mentor engineers and collaborate with cross-functional teams to deliver reliable, performant government software.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

Design, build, and support React/TypeScript applications; set accessibility and design-system standards; make technology decisions balancing security and quality; enhance performance, stability, and security; collaborate across product, design, ML, and infrastructure; mentor engineers and reduce technical debt; work across the stack including APIs and integrations.

Lead refactoring and optimization of scalable data pipelines, design next-generation distributed storage and processing systems, build clean interfaces for diverse data consumers, mentor engineers, and establish engineering standards and processes.

Design, build, and operate core CIAM backend services for registration, authentication, authorization, account lifecycle, and profile management. Implement OAuth2/OIDC/SAML/SCIM, develop APIs in Python/Kotlin, integrate identity platforms, automate deployments with IaC/CI-CD, and monitor/optimize services for reliability, security (MFA, token handling, encryption), and abuse detection at scale.

Design and build backend services that run AI/model inference on real-time streaming data. Own end-to-end features, make cross-team architectural decisions, ensure reliability and operability, participate in on-call, and mentor engineers while driving production-grade rollout and testing.

Hands-on staff engineer who architects and builds backend systems integrating AI into insurance claims products. Modernize legacy platforms, design multi-tenant relational backends, prototype and productionize features, set engineering standards, and collaborate closely with Product, Data Science, and Data Engineering.

Lead architecture and delivery of scalable, resilient distributed web applications and AI/LLM-powered features. Drive technical vision, enforce engineering best practices, mentor engineers, collaborate with product and platform teams, and productionize generative AI capabilities with attention to testing, observability, security, and performance.

Lead and build full-stack web shopping experiences focused on frontend performance, SEO, and scalability. Drive architecture, ship high-quality code across frontend and backend, mentor engineers, run data-driven experiments, and improve observability, security, and developer experience.

Build and operate Valence's shared platform primitives (auth, routing, LLM gateway, deployment, observability, SLOs) to enable safe, scalable, and compliant delivery of AI-first products. Implement CI/CD gates, progressive delivery, rollback automation, security guardrails, region-aware routing, and developer-facing templates and tooling.

Design, build, and productionize LLM-based conversational and AI systems for enterprise coaching. Integrate structured and unstructured data, prototype end-to-end services, improve model behavior and observability, and collaborate with product and engineering to deploy scalable, reliable AI-driven coaching workflows.

Lead design, development, and deployment of scalable, reliable backend services and APIs. Mentor engineers, drive technical strategy, ensure code quality, and collaborate with product and cross-functional teams to deliver customer-focused solutions using modern cloud, containerization, and lean development practices.

Lead design, development, and deployment of high-performance native and Flutter mobile apps. Define mobile architecture, mentor engineers, optimize performance and integrations, ensure code quality and CI/CD, collaborate with product and engineering leaders, and drive technical strategy across web and mobile platforms.

Owner of end-to-end full-stack features with primary focus on elite Angular/TypeScript frontends. Build real-time UI components (WebSockets/SSE), enforce feature-domain driven Angular architecture, harden API integrations and auth (JWT/OpenID Connect/OAuth2), optimize performance and i18n, and develop high-concurrency backend microservices (Python/FastAPI/Django). Use autonomous coding agents to accelerate and maintain code quality.

Lead a small engineering squad as Technical Lead/Architect to design and build Agentic AI-powered backend systems. Architect high-concurrency Python microservices, Agent-Ready APIs, secure integrations (OAuth2/Webhooks), implement auth (JWT/OpenID Connect), optimize performance (Postgres/MS SQL), and use autonomous coding agents to accelerate the AI-native SDLC while providing technical mentorship and rigorous code quality.

Design and deliver major Azure-based data systems and products (ingestion, transformation, storage, semantic modeling). Build production-grade pipelines and feature infrastructure for analytics and ML, drive platform architecture and standards, diagnose performance and scalability issues, mentor engineers, and partner with stakeholders to translate business needs into scalable data solutions.

Lead company-wide transformation of test automation and quality engineering: define vision and roadmap, architect scalable testing frameworks across server/web/mobile/desktop, integrate AI/LLM for test generation and flakiness management, establish observability and quality gates, mentor engineers, and partner with leadership to embed quality across the SDLC.

Design, build, and support scalable, stable web and mobile digital products. Communicate with stakeholders, estimate scope, lead and mentor engineers, produce extensible technical solutions, and use data-driven iterative development.

Build and scale Python/Django REST APIs and React UIs, own department-wide technical initiatives, improve test coverage and system reliability, debug technical debt, mentor engineers, and drive architecture and tooling decisions.

Lead development of performant React UIs and Python/Django backend services. Own architecture and org-level initiatives, improve test coverage, resolve technical debt, mentor engineers, and drive secure, scalable system design and best practices across the stack.

Lead full-stack growth engineering efforts to optimize top-of-funnel and intake workflows. Ship reliable, observable, and scalable features; connect technical investments to product and business metrics; build tooling and automation; integrate external partners; leverage data, A/B testing, and AI to reduce friction and improve conversions while ensuring privacy, compliance, and high-quality engineering practices.

Design, develop, and maintain backend platform services and APIs using Go/JS/Node/GraphQL. Lead architecture, CI/CD, and AWS-based deployments (Lambda, Fargate). Troubleshoot production issues, produce technical designs and estimates, mentor junior engineers, and drive scalable software best practices.

Lead design and implementation of high-performance distributed storage systems and protocols (object, block, file) for AI infrastructure. Set technical direction, author designs, mentor engineers, integrate with hardware (NVMe, DPUs, GPU-direct), optimize performance, build benchmarking and observability tooling, and drive cross-team deployments and incident response in multi-petabyte data center environments.

Lead architecture and roadmap for a company-wide data lakehouse platform. Build platform-as-product components (SDKs, CLIs, control planes), optimize distributed compute/storage, prototype performance R&D, ensure compliance-by-design (lineage, PII masking, access control), enable real-time AI data ingestion, drive engineering standards, and mentor cross-functional teams.