Top Remote Senior Level Software Engineer Jobs in CO

Develop high-performance, accessible, responsive user interfaces using React and Storybook. Collaborate with designers, product owners, and engineers to build reusable design-system components, write secure maintainable code, participate in code reviews, lead cross-team initiatives, document processes, and improve systems through refactoring and testing.

Build scalable, API-first platform capabilities through manifest-driven development. Develop Java and Kotlin backend services and Python workers for third-party integrations, collaborate across engineering teams, participate in architecture reviews, and troubleshoot production systems using logs, metrics, and traces. The role requires expertise in highly scalable systems, object-oriented design, REST services, relational databases, responsive messaging, caching, and software quality practices.

Design and implement scalable backup software for endpoints, servers, and cloud applications. Develop Java and Kotlin services, optimize databases and queries, debug production systems, and resolve distributed-system performance issues. Contribute code, reviews, architecture discussions, documentation, and cross-team reliability initiatives. Mentor engineers and help deliver resilient products operating at large scale.

Lead enterprise B2B integration projects for strategic customers using APIs, webhooks, connectors, cloud services, and scalable integration architectures. Translate business requirements into technical designs, build and review code, manage complex projects, troubleshoot deployments, and advise customers and internal teams on integration best practices. Collaborate with product, sales, support, and developer ecosystem teams while supporting multiple customer engagements and improving professional services methodologies.

Build and operate blockchain network infrastructure integrating protocols such as Bitcoin and Ethereum with internal services. Design reliable APIs, SDKs, data contracts, observability, and SLOs; lead multi-quarter chain integrations, architecture modernization, and migrations. Improve latency, reliability, and cost for high-throughput distributed systems while owning production services and on-call responsibilities.

Lead Apollo’s Rep Experience engineering team building prospecting, account management, task orchestration, dashboards, and AI-driven recommendations. Responsibilities include technical decision-making, architecture, planning, coding mentorship, hiring, people management, on-call sustainability, estimation, process improvement, and cross-functional collaboration with Product, Design, GTM, and engineering leadership.

Lead technical strategy and execution for multi-quarter initiatives, build and maintain software systems using AI, mentor and elevate engineers, collaborate across disciplines, and protect user privacy and security. The role involves working in an AWS and Kubernetes environment with technologies including Python, TypeScript, React, Go, Airflow, dbt, and Claude Code.

Design, develop, launch, and maintain scalable backend systems and APIs used by merchant and partner integrations. Collaborate with engineers and stakeholders, balance speed with system quality, debug code, conduct code reviews, and write tested, extensible software. The role requires experience with distributed systems, Python or Kotlin, AWS, MySQL, and Kubernetes, along with strong communication and ownership of professional growth.

Designs, develops, tests, deploys, documents, maintains, and debugs software solutions for PNC’s Asset Management Group. The role addresses complex business needs through technical design, application development, architecture, troubleshooting, testing, and release management. It is remotely based in Pennsylvania, with occasional in-office participation as needed.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Build and deploy production-grade agentic workflows for enterprise customers using Webflow APIs, CMS, AI capabilities, and external integrations. Design safeguards, observability, rollback paths, and permission boundaries; support live web properties at scale; collaborate with sales and engineering on complex deployments; and convert customer implementation learnings into reusable architecture blueprints and platform improvements.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.