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

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.

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

Lead design and development of high-performance endpoint agents in Go across Windows, macOS, and Linux. Build concurrent, performance-sensitive telemetry systems, integrate with backend REST APIs, use AI tools responsibly, mentor engineers, and collaborate on testing and DevOps to support threat-hunting at scale.

Lead and build a new Trust & Safety engineering domain: design and implement systems to detect and mitigate fraud, billing anomalies, and credential abuse. Architect product and operational solutions, mentor engineers, define processes, and deliver scalable, auditable safety tooling across internal and external workflows.

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 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.

The role involves owning the architecture and technical direction of Payment Rails infrastructure, designing high-reliability systems for global payment processing, and leading cross-functional collaborations to create efficient, compliant solutions. Responsibilities also include mentoring team members and enhancing operational excellence through AI-driven improvements.

Lead architecture and technical direction for Payments platform, building scalable, fault-tolerant distributed systems, defining roadmaps, ownership of production reliability, cross-functional partnership, and mentoring engineers to improve platform quality and scalability.

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.

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.

The role involves leading application performance improvements across multiple platforms, focusing on measurable metrics and driving engineering standards and workflow optimization, using both hands-on coding and strategic influence.

Lead design and implementation of a production inference platform for LLMs. Define roadmap, integrate and optimize inference runtimes, manage GPU infrastructure, and build systems for deployment, autoscaling, observability, and operational excellence. Benchmark models/runtimes, partner with ML and product teams, make architectural tradeoffs, and mentor engineers to scale AI infrastructure.

The Staff Engineer will lead the Systems team, design scalable cloud infrastructure, optimize data pipelines, and ensure platform reliability and security.

Design and build AI-powered backend services, optimizing performance and scalability while collaborating with cross-functional teams to integrate generative AI models.

Design, build, and maintain scalable, secure cloud infrastructure and SRE practices. Implement IaC, Kubernetes/Helm deployments, CI/CD pipelines, monitoring/observability, automation, security/compliance, capacity planning, and mentor junior engineers to ensure reliability and performance.

Design, build, and architect IAM-focused security software, APIs, and automation. Integrate security into CI/CD and cloud-native environments, perform code reviews and threat modeling, monitor security events, support incident response, and collaborate with infra/app teams to embed identity best practices.

As a Staff Backend Engineer at FloSports, you'll lead backend development initiatives, focusing on scalable distributed systems, authentication frameworks, and mentoring engineers while collaborating with product teams for technical solutions.

Lead architecture and design of full-stack, cross-pod systems; set engineering standards for quality, security, performance, and observability; mentor and grow engineers; partner with Product and Partners on technical strategy; own incident response and reliability; participate in on-call rotation and hiring/onboarding.

This role involves owning and evolving the backend platform for AI employees, mentoring engineers, optimizing system performance, and driving architectural decisions at Supernal.

Lead design, development, and productionization of advanced ML models and data pipelines. Drive architecture, experimentation, validation, and best practices while mentoring ML engineers and delivering scalable, business-driving AI solutions.

Design, build, and maintain cloud-first, highly available infrastructure and tooling for Cribl's telemetry platform. Drive automation, reliability, scalability, and API-driven solutions across distributed SaaS systems, and participate in on-call and operational duties.

Design, prototype, and productionize Generative AI and LLM features across backend and frontend. Integrate ML models, fine-tune, perform prompt engineering, operate inference platforms, and support AI-based product launches while participating in on-call duties.

Lead the creation of an AI-powered software generation platform, partner with AI and infrastructure teams, and define success metrics to enhance developer experience.

Lead the architecture and reliability of a financial data extraction platform, reducing human validation reliance by enhancing accuracy and scalability of systems while leveraging AI-driven solutions.