Top Remote Staff Software Engineer Jobs in Denver & Boulder, CO

Lead technical strategy and execution for multi-quarter initiatives; build and maintain AI-driven systems; mentor and raise the technical bar across teams; collaborate cross-functionally; ensure data security and HIPAA-compliant practices; operate in an AWS + Kubernetes environment while introducing new technologies as system load grows.

Build and lead development of the ESPM platform using Ruby on Rails. Define technical vision, design scalable data pipelines and architectures for petabyte-scale ingestion, implement features across the stack, collaborate with security researchers, mentor engineers, and ensure high-quality, tested deliveries.

Lead technical design and implementation of the ISPM product using Ruby on Rails. Build scalable data pipelines and systems to process large-scale identity telemetry, collaborate with security researchers and product teams, mentor engineers, and set architectural direction for detection and remediation features.

Design, build, and operate low-latency authentication and authorization services (OAuth, sessions, tokens, 2FA, account recovery). Lead technical designs, ensure strong security and observability, collaborate cross-functionally, simplify integrations, and mentor engineers while running production services with measurable SLOs.

Lead design and implementation of Headway's insurance systems (eligibility, pricing, matching, claims). Build data-intensive, ML-powered platforms and automation, mentor engineers, write high-impact code, and improve accuracy and reliability across state and payer complexity to scale insurance-covered therapy.

Lead technical strategy and architecture for Affirm Bank's cloud, data, vendor integrations, and operational tooling. Design, build, and operate high-stakes systems end-to-end, own incident response, vendor selection, and the Bank↔Affirm Inc integration boundary. Ensure examiner-ready documentation, compliance, reliability, and observability while mentoring engineers and pushing AI-assisted engineering practices to increase velocity and product safety.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

This role involves leading web platform initiatives, mentoring senior engineers, architecting web applications, and implementing technical strategies for improved performance.

Build a high-performance, low-latency Rust backend and core AI platform for an AI-native trading experience. Implement streaming responses, tool orchestration, caching, secure APIs (auth, rate limits, auditing, tracing), and safe trading action infrastructure (previews, confirmations, idempotency, audit logs). Partner with product and frontend to enable AI-native UX and translate business domain requirements into secure, resilient platform primitives.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Lead design and operation of test infrastructure at scale: test orchestration, smart selection, parallel sharding, flaky-test detection, observability, SLOs, and on-call. Define technical strategy, drive cross-team projects, mentor engineers, and reduce test feedback time to accelerate engineering velocity.

Lead architecture and technical vision for integrations that ingest external data (e.g., Salesforce, HubSpot) into Jasper's IQ layer. Design scalable, secure data ingestion, define context primitives, drive cross-team alignment, and deliver staff-level initiatives that improve reliability and AI-driven product quality.

Own and modernize the governance domain (auth, roles/permissions, orgs, billing) as a Staff-level backend IC: set architecture, refactor for scale and AI-native workflows, write critical-path code (70-80%), mentor engineers, and partner with product to deliver enterprise-grade governance and compliance features.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Lead architecture and multi-year technical strategy for financial data pipelines and reporting. Design and deliver backend services in Go, ensure accuracy, timeliness, and auditability of financial data, and partner with Finance/Accounting/Tax to translate regulatory requirements into scalable systems. Mentor senior engineers and set architectural standards across Financial Engineering.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.

Design and scale backend systems, APIs, and services for Nango’s open-source developer infrastructure platform. Build APIs, SDKs, UIs, and runtime systems, optimize performance and reliability, solve integration challenges with customers, shape the roadmap, and maintain the open-source repository. The role requires strong ownership, product thinking, developer empathy, communication, and autonomy in a remote-first startup environment.

Lead the technical direction, architecture, and delivery of production agentic AI systems. Build AI platform abstractions, agent workflows, evaluation and guardrail infrastructure, cloud-native services, and operational tooling using TypeScript/Node.js and Python. Own deployment, monitoring, troubleshooting, and measurable outcomes while partnering with product, clinical operations, and business leaders. Mentor engineers, establish reusable patterns, communicate architectural trade-offs, and ensure privacy, security, compliance, reliability, safety, and cost controls for sensitive healthcare data.

Develop and maintain software in an agile, test-driven environment using pair programming. Lead technical decisions involving application and data model design, mentor engineers, collaborate cross-functionally with product and design, and ensure application stability and performance. Participate in on-call support and improve system reliability. Use AI developer tools to accelerate development and improve code quality.

Lead architecture and stabilization of a large-scale, multi-tenant CRM SaaS: own reliability, data-sync correctness, and performance; write production code (~40-50%); drive migration toward event-driven microservices; define observability, CI/CD, and AI-assisted development; mentor senior engineers and coordinate cross-team initiatives.

Build and maintain electricity cost modeling REST APIs and DBT data pipelines, translate SME requirements into designs, participate in technical reviews, improve engineering processes, and collaborate across remote squads to deliver energy analytics and battery performance simulations.

Build and maintain electricity cost modeling REST APIs and DBT-driven data pipelines. Translate SME requirements into engineering designs, participate in design reviews, improve engineering practices, and deliver scalable analytics and battery performance simulations to inform DER ROI.

As a Staff Software Engineer at Socket, you will build the product, enhance the team culture, and establish foundational frameworks while contributing to the development of the web application and APIs.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Lead end-to-end engineering of an AI-driven biomanufacturing platform: design and deploy LLM-powered agents and RAG systems, build full-stack React/Node/MongoDB pipelines, harden AWS infrastructure for regulated (GxP/Part 11) production, and deploy/integrate with customer LIMS/ERP/QMS.