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

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

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.

Build scalable distributed systems for Rula’s Marketplace Health Engine, improving provider utilization, marketplace efficiency, and patient access. Partner with Engineering, Product, Data, and Operations; lead technical strategy across teams; design backend services, APIs, and data-intensive systems; drive projects from discovery through post-launch support; solve complex marketplace problems; mentor engineers; and remain hands-on in software development.

Senior individual-contributor full-stack engineer who designs, builds, and ships end-to-end product features. Leads technical direction, modernizes legacy systems, debugs distributed systems, owns production reliability and on-call, and mentors engineers. Drives AI-native development adoption while collaborating with Product and Design and improving team practices, observability, testing, and deployment workflows.

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

Own technically complex, mission-critical areas and define technical strategy for new products. Design and ship full‑stack, AI‑driven features end‑to‑end, build scalable data ingestion and API systems, partner with product/design/customer teams to translate ambiguous problems into measurable outcomes, mentor engineers, and raise engineering quality and standards across the organization.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, build data infrastructure, and productionize AI/ML capabilities. Drive complex multi-team initiatives, influence engineering strategy, establish technical standards and operational excellence, and mentor senior engineers. Partner with product, data science, ML, and engineering teams to translate business needs into scalable solutions.

The Staff Software Engineer will shape technical direction, build developer platforms, and design AI agents, enhancing developer productivity and collaboration across teams.

The Staff Software Engineer will lead technical strategy, ensure system availability, and develop backend systems at scale, collaborating across teams to drive capacity modeling and operational quality.

Lead cross-pod technical direction and system design for high-scale backend services, embed AI-native development practices, collaborate with product and design, mentor engineers, and drive ambiguous initiatives from design through production.

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Develop and own an endpoint network proxy that intercepts and analyzes third-party traffic, terminates and re-establishes TLS, applies real-time policies, traces data flows, and processes large event volumes efficiently. The role requires building highly reliable, secure-by-design systems software capable of handling untrusted data and resisting attacks, while collaborating with distributed engineering teams.

Build and improve RWX’s developer, build, and test cloud across product areas. Work as a generalist on UI, infrastructure, Linux systems, CI/CD, and reliability. Own planning, execution, releases, architecture, integration testing, and product decisions while maintaining high software quality and thoughtful use of AI agents.

Design and implement Kotlin backend services and end-to-end systems for Toast POS device management. Lead technical designs, estimations, performance optimization, cross-team collaboration, and software quality practices including modern testing and observability. Mentor peers and drive product roadmap alignment with product, hardware, and QA stakeholders.

Sets technical direction for Helix’s Experience platform and broader engineering organization. Designs and implements distributed, full-stack genomic software systems focused on patient and provider experiences. Leads complex projects from scoping through production, advances AI-assisted engineering practices, establishes quality and delivery standards, mentors technical leaders, and drives cross-functional collaboration with product, design, research, scientific, and business teams.

Design, implement, and maintain cloud-native full-stack software to migrate, preserve, and make large volumes of government records searchable and accessible. Build Section 508-compliant frontends and secure backend APIs, follow API-first and CI/CD practices, defend against vulnerabilities, mentor engineers, and collaborate with cross-functional teams to deliver reliable, performant systems.

Lead architecture, scale, and reliability for a production malware-scanning platform. Build detection-quality pipelines, metrics, feedback loops, scan orchestration, verdict APIs, threat-analysis systems, customer policy services, and operational tooling. Partner with Product Security to productionize detections across software artifacts and ecosystems. Own performance, correctness, observability, incident response, and customer-facing enforcement and appeals capabilities while mentoring engineers and influencing cross-functional stakeholders.

Develop and lead full-stack security capabilities for the NodeZero platform, focusing on tripwires, honeytokens, honeypots, and detection logic. Design threat-informed solutions, contribute production Python code, create technical roadmaps, mentor engineers, and collaborate with product, design, and engineering teams. Apply expertise in network security, Windows internals, Active Directory, SMB, WMI, and relational or graph databases to build scalable offensive and defensive security solutions.

Design, develop, and maintain high-quality cloud-based applications within an Agile team. Collaborate on architecture, product requirements, and software development; troubleshoot production issues; evaluate technologies; provide technical leadership; and optimize performance through memory management, parallelization, and algorithm efficiency. The role also involves building multitenant database architectures, implementing secure APIs and event-driven systems, writing unit tests, and debugging complex software issues.

Lead the design and evolution of predictive maintenance platform, build and scale ML-powered features, and mentor other engineers.

Lead full‑stack development and architecture for Spark’s broker platform. Deliver customer‑facing features, partner with product/design, mentor engineers, resolve technical debt, and set engineering standards while using AI developer tools.

Design, build, and operate backend systems for prediction markets, including order management, trade matching, settlement, and market resolution. Architect distributed, low-latency systems with strict financial correctness, lead multi-quarter technical projects, mentor engineers, and collaborate with Product, Compliance, and Risk to meet regulatory requirements.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.