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

Lead backend engineering strategy for Affirm’s search and recommendation platform. Design and launch highly available distributed systems, guide technical architecture and execution, improve team operations and reliability, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on search, recommendations, consumer shopping experiences, monetization, and scalable platform foundations.

Provides technical leadership across multiple agile engineering teams, designing, developing, and maintaining complex distributed software systems. Responsibilities include translating product requirements into scalable designs, writing and reviewing code, leading sprint teams, removing delivery impediments, mentoring engineers, collaborating with product managers, and guiding technical strategy. The role emphasizes microservices, cloud platforms, containerization, APIs, messaging, workflow orchestration, DevSecOps, observability, performance, security, and operational excellence.

The Lead Rust Software Engineer will design and build scalable applications, mentor teams on Rust, and contribute to complex product development.

Own and evolve cybersecurity platform integrations, parser frameworks, data normalization, and microservice-based solutions. Design secure APIs, process security logs from diverse sources, and ensure ingested data supports detection and analytics. Drive architecture decisions, improve framework reliability, mentor engineers, and use AI tools to accelerate development, testing, parsing, automation, and operational workflows.

Leads architecture and technical direction for a high-traffic Next.js and React web platform. Responsibilities include improving Core Web Vitals, technical SEO, rendering, caching, APIs, CMS capabilities, experimentation, analytics, testing, deployment, production reliability, and developer mentorship. The role also architects AI-powered web features, establishes responsible AI standards, and partners with product, marketing, SEO, and engineering teams.

Leads technical strategy, architecture, and implementation for scalable clinical research software, data pipelines, and AI systems. Owns product-line architecture, resolves complex distributed-systems challenges, drives reliability, security, observability, and operational excellence, and mentors senior engineers. Builds information extraction and agentic AI applications, data modeling and processing pipelines, evaluation frameworks, and cost-efficient inference orchestration. Partners across Product, QA, Data Science, Architecture, Infrastructure, Cloud, and Support to deliver reliable, maintainable systems.

Architect and build AI-powered SOC capabilities for post-detection workflows, including autonomous triage, multi-agent investigations, contextual enrichment, evidence synthesis, and automated response. Develop production-grade LLM systems, agent frameworks, integrations, and safe execution controls. Lead ambiguous initiatives, establish reliability and performance standards, guide engineers, and collaborate with product and security teams. The role is fully remote but includes standby, on-call, or off-hours duties.

Lead backend engineering strategy for Affirm’s international Identity team. Design and launch highly available distributed systems supporting KYC, user lifecycle management, and identity decisioning. Drive technical planning, cross-functional collaboration, operational excellence, monitoring, testing, and on-call readiness. Establish engineering quality standards, influence architecture, mentor team members, and deliver scalable systems using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes.

Lead the Kyber prototyping and rapid deployment platform, setting technical direction, rebuilding it on next-generation cloud infrastructure, and scaling it for thousands of internal users. Responsibilities include hands-on coding, architecture, product integration, cross-functional collaboration, improving tools for non-technical builders, and mentoring engineers.

Staff Software Engineer responsible for architecting reliable internal platforms, integrating legacy and SaaS systems, and applying production-grade generative AI and agentic systems. The role sets technical direction across teams, leads build-versus-buy decisions, improves reliability and security, designs analytics-ready data models, evaluates AI opportunities, manages AI costs and ROI, and mentors engineers while advising leadership.

Own the architecture and long-term direction of Alpaca’s Redpanda-based event streaming platform. Lead migration to event-driven systems, design scalable real-time client streaming, establish schema and library standards, shape authentication for streaming, partner on resilience and testing, mentor engineers, influence cross-team technical decisions, and participate in platform on-call. The role primarily uses Go and involves Kubernetes, Helm, PostgreSQL, observability, and distributed systems.

Lead the architecture and implementation of high-performance, reliable core services operating at massive scale. Design synchronous and asynchronous APIs, database schemas, and distributed systems; conduct benchmarking, profiling, monitoring, and optimization; participate in reviews and on-call rotations; resolve production issues; and drive independent experiments and solutions.

Lead the development of an AI-powered platform for senior mental health, building systems for patient experience, and mentoring the engineering team.

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.

Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams.

Develop scalable C++ software that defines and enforces endpoint behavior across millions of managed Windows endpoints. Responsibilities include implementing features, improving platform performance, shipping production code, designing new systems, writing architecture documents, defining subsystem contracts, and collaborating with server, UI, product, and design teams. The role requires deep Windows systems and kernel-driver expertise, with preferred experience in WHQL, minifilter or WFP drivers, macOS Endpoint Security, and Linux kernel development.

Lead the technical vision and architectural evolution of Huntress’s Core Platform. Build complex Ruby on Rails features, solve scaling challenges, manage cross-team dependencies, drive architectural decisions, and oversee system lifecycle and technical risk. Mentor engineers, establish engineering excellence, collaborate with managers and product leaders, and help teams adopt AI coding tools responsibly.

Design and own NodeZero’s over-the-air update infrastructure across thousands of customer deployments. Responsibilities include delivery protocols, version negotiation, rollout orchestration, health verification, rollback, fleet state management, constrained-environment delivery, reliability, incident response, architecture, production coding, and mentoring engineers. The role requires secure, highly reliable distributed systems that operate across air-gapped and customer-managed Kubernetes environments.

Staff Engineer responsible for database architecture, performance, reliability, migrations, and operational standards across PostgreSQL, graph, and time-series data stores. The role involves writing production code, analyzing query performance, designing failover and migration systems, mentoring engineers, and guiding database practices across teams. Candidates need deep PostgreSQL expertise, experience with graph and analytical databases, cloud or Kubernetes operations, and proficiency in Go or Python.

Own the architecture and operation of NodeZero’s container image build, signing, scanning, CI/CD, and over-the-air delivery systems. Establish standards for reproducible builds, artifact versioning, release gating, rollout, rollback, and security. Write code, design systems, respond to operational incidents, make cross-team technical decisions, and mentor engineers. The role requires deep container, Kubernetes, release engineering, and secure software supply chain expertise.

Lead the architecture and implementation of a shared partner-integration framework connecting NodeZero with security and ITSM platforms. Build complex production integrations, define reliability and observability standards, advise on API patterns, respond to incidents, create architecture documentation, and mentor engineers. The role requires hands-on software development in Go or Python, expertise in distributed systems and API integrations, and experience with cloud-native environments such as Kubernetes and AWS.

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.

Design and implement scalable, secure, high-performance software systems and public-facing APIs. Lead system design, apply agentic coding workflows, collaborate with Product and Data Science, mentor engineers, and own initiatives improving efficiency, performance, and customer satisfaction. The role requires extensive experience with highly available distributed systems, API versioning and rate limiting, modern backend and frontend technologies, AWS, and Domain-Driven Design.

Lead architecture and hands-on development for cloud data optimization products and Stratusphere’s data platform. Diagnose and improve database, query, storage, networking, and workload performance across AWS, Azure, relational, analytical, search, and lakehouse systems. Build production services, integrations, testing, observability, and infrastructure automation while safely overseeing AI-assisted development. Partner with product teams, forward-deployed engineers, and customers to validate optimizations, document tradeoffs, and convert repeatable solutions into scalable platform capabilities.

Build and operate scalable AI platform infrastructure enabling secure, reliable access to foundation models and AI agents. Responsibilities include developing model gateways, provider integrations, routing, usage controls, observability, governance, and self-service platform capabilities. The role involves architecting distributed systems, improving reliability and security, collaborating across engineering and product teams, mentoring engineers, and establishing high-quality engineering practices.