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

Design and evolve scalable referral, partner data, and patient booking systems. Lead complex technical projects across teams, make architecture and API decisions, improve security, performance, reliability, and scalability, and mentor engineers. Collaborate with product, design, engineering leadership, partners, and stakeholders while using AI-assisted development tools such as Claude Code to improve delivery velocity and quality.

Build scalable generative AI and machine learning infrastructure at Airbnb. The role expands the ML platform, supports foundational language and vision models, creates human and AI labeling systems, and improves productivity for more than 200 ML engineers and data scientists. Responsibilities include designing distributed systems, productionizing platform capabilities, and partnering with customer teams to deliver product impact using technologies such as Ray, MLflow, TensorFlow, PyTorch, Kubernetes, Spark, Docker, and Airflow.

Set technical direction for Root’s AI platform, including infrastructure, tooling, shared services, governance, reliability, security, observability, and cost management. Lead cross-team initiatives, guide AI and LLM architecture decisions, establish operating standards, shape technical roadmaps, resolve complex tradeoffs, and mentor engineers and technical leaders across the organization.

Leads the design, development, maintenance, and support of LabVantage LIMS applications and related software. Translates stakeholder requirements into reliable Java applications, makes technical design decisions, integrates enterprise systems, improves engineering practices, develops automated tests, and provides production support. The role also guides engineers and Technical Product Managers while optimizing laboratory order-to-result workflows and LIMS platform configurations.

Build and scale secure backend services and platform infrastructure for an enterprise AI agent platform. Lead architecture and code reviews, infrastructure automation, CI/CD, observability, reliability, and performance initiatives. Collaborate with product and research teams to deploy and optimize production ML/NLP workloads, improve developer experience, and mentor engineers while establishing strong engineering and DevOps practices.

Build and scale Neuroscale’s backend platform for AI-powered recruiting workflows. Responsibilities include developing Python/FastAPI REST APIs, designing high-throughput systems, managing PostgreSQL, Redis, OpenSearch, Celery, and Temporal infrastructure, deploying services on AWS, maintaining containerized CI/CD pipelines, and supporting integrations, data pipelines, and asynchronous workflows. The role owns architecture and reliability decisions, mentors engineers, and collaborates with AI, product, and frontend teams in a high-ownership startup environment.

Lead iOS engineering for the Subscription Growth team, building and improving premium subscription experiences, paywalls, upsell experiments, and promotional offers. Develop high-quality, testable solutions, refactor architecture, support automated app builds and releases, and collaborate across iOS, Android, web, backend, and infrastructure teams. Provide technical leadership, mentorship, and guidance on design, security, testing, deployment, and rapid experimentation.

Lead the technical vision, architecture, and delivery of Toast’s pricing engine across multiple teams. Design and operate highly available distributed systems, APIs, databases, and event-driven services at scale. Serve as the pricing domain expert, improve correctness and performance, lead incident response and reliability initiatives, mentor engineers, establish operational excellence, and align technical priorities with Product and engineering leadership.

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.

Build and architect AI-powered software features that analyze contracts and fund documents, extract structured data, and automate legal workflows. Set technical direction, drive ambiguous initiatives from conception through production, improve engineering quality and tooling, and collaborate with product and design. Evaluate LLM systems, assess failure modes, and make strategic decisions about AI applications while mentoring and elevating other engineers.

Leads architecture, development, deployment, and operation of scalable Java and Kotlin applications. Responsibilities include backend-focused full-stack development, Kafka data streaming, cloud-native infrastructure, observability, performance optimization, incident response, technical leadership, mentoring, project planning, and cross-functional collaboration. The role also drives AI-assisted engineering practices and modernization initiatives while supporting on-call operations.

Own and architect core AI pharmacy products, including prior authorization pipelines, Epic integrations, patient communications, and production agentic systems. Build hands-on software using LLMs, RAG, function calling, and evaluation workflows in a regulated healthcare environment. Set engineering standards, make architectural decisions, manage delivery across product milestones, and collaborate across teams to ship reliable solutions that improve pharmacy operations.

Leads the design, development, deployment, and support of scalable, fault-tolerant software applications. Responsibilities include architecture, coding, debugging, performance optimization, cloud-native and microservices development, Kubernetes operations, production monitoring, incident response, code reviews, technical planning, mentoring, and cross-functional collaboration. The role also contributes to product roadmaps, engineering standards, automation, and on-call support.

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 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.