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

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.

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.

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 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.

Join MongoDB's Query Execution team to improve the database's core execution engine, build high-performance query features, and mentor team members. You will drive roadmap initiatives and ensure production-ready code for complex analytical workloads.

Lead design and evolution of SentiLink's data platform for fraud detection. Architect scalable batch and streaming pipelines, improve reliability, performance, and observability, set engineering standards, mentor engineers, drive cross-team technical initiatives, participate in production support/on-call, and evaluate build-vs-buy and emerging technologies.

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.

Lead front-end technical strategy for Coinbase Advanced trading platform: define and execute a scalable roadmap, deliver a low-latency interface across web and mobile, mentor engineers, anchor complex projects, and ensure high standards for code quality and system design.

Lead technical strategy for Solana staking at Coinbase, optimizing validator performance and driving cross-product integration while mentoring engineers.

Lead architecture and delivery of Control Center platform capabilities (MCP tool registries, AI orchestration, access automation). Design agentic AI integrations, HITL workflows, and evaluation/guardrail frameworks. Own backend services, SLOs, observability, incident response, and operational readiness for Tier-1 systems. Drive cross-team technical direction, author TDDs, run design reviews, mentor engineers, and partner with Product and Security to deliver secure, scalable platform primitives.

Design and implement AI systems for customer support and compliance, architect solutions, mentor team members, and manage project deliverables.

Lead the technical strategy for Coinbase's Data Platform, architecting data systems for AI/ML workloads and ensuring data reliability, performance, and cross-functional alignment.

Designs, develops, debugs, optimizes, and validates firmware and system software for high-performance IoT platforms across Linux, Android, and real-time operating systems. The role involves embedded programming, automated and unit testing, multi-core architecture debugging, architectural collaboration, cross-disciplinary feature development, and cloud-based validation at scale.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Lead technical direction for patient-facing mobile and web products, rapidly prototype and ship features with product/design/clinical teams, mentor engineers, set architecture and development standards, and use AI tools to improve patient engagement, retention, and outcomes.

Lead design and delivery of end-to-end calibration systems for perception sensors and robot kinematics. Build algorithms, fixtures, on-fixture software, data pipelines, validation, operator workflows, and fleet monitoring. Own fixture software and in-field self-check/recalibration, define downstream manufacturing requirements, and coordinate with vendors and contract manufacturers. Hire, mentor, and develop engineering talent for calibration work.

Own architecture and execution for AI-powered design experiences, including room generation, editing, recommendations, quality evaluation, and human accountability. Lead complex initiatives across 3D, rendering, AI agents, TypeScript GraphQL services, and modernization from a PHP monolith. Provide technical direction across teams, improve production systems, define major AI capabilities, evaluate model quality and tradeoffs, and mentor engineers.

Design and evolve core control, data, and observability systems; implement resilient region-spanning architectures; build libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, and testing; and shape platform capabilities across identity, scheduling, observability, and distributed state management.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.

Lead architecture and development for scalable document content extraction and transformation systems. Build full-stack, event-driven applications using C#/.NET, AWS, Kafka, OCR technologies, APIs, and AI services. Own initiatives from design through production, improve reliability and performance, implement observability, address technical debt, document architecture, collaborate cross-functionally, and mentor engineers.

Build and deploy AI-powered tools, agents, and automations that improve internal workflows across Lyra Health. Partner with business and clinical teams to identify opportunities, translate ambiguous needs into software, and own solutions from discovery through adoption and measurable impact. Integrate AI capabilities with Python and Java microservices, web and mobile applications, and third-party systems. Evaluate emerging AI tools, promote agentic development practices, track efficiency metrics, and ensure responsible handling of sensitive healthcare data.

Lead design and delivery of enhancements to a next-generation AI agent platform. Own large features and infrastructure, mentor engineers, set technical standards, drive cross-team initiatives, improve reliability and SLOs, and influence product and process decisions to scale systems supporting millions of interactions.

Lead long-term technical strategy and large cross-functional engineering initiatives for Vanta's GRC product. Design scalable, reliable systems, mentor engineers, drive architecture and process improvements, and deliver enterprise-grade SaaS features while influencing organization-wide technical decisions.

Own backend and AI infrastructure for autonomous trading agents. Build the Go-based agent runtime, execution and data layers, real-time trading systems, deployment platform, model hosting migration, telemetry, CI/CD, monitoring, and incident response. Develop production services primarily in Go, Python, and TypeScript while operating AWS EKS infrastructure. The role requires end-to-end ownership of reliable, low-latency systems managing real-time trading and financially sensitive positions.