Top Software Engineer Jobs in CO

Own SEON’s global WordPress platform, including custom Gutenberg blocks, themes, plugins, deployments, security, performance, upgrades, integrations, multilingual functionality, technical SEO, accessibility, testing, and recovery processes. Collaborate with Marketing, Design, SEO, agencies, and stakeholders to deliver scalable solutions, establish engineering standards, and proactively improve the reliability and performance of the business-critical website.

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

Build and maintain developer tooling, internal platforms, testing frameworks, and core libraries used by Toast engineers. Improve development workflows, diagnose bottlenecks, integrate AI-assisted tools, measure developer productivity, operate production services, participate in on-call support, and collaborate with engineering teams on platform improvements.

Develops and maintains .NET applications using C#, Microsoft SQL Server, unit and integration testing. Responsibilities include building features, fixing bugs, debugging across the application stack, making maintainability and performance decisions, researching solutions, communicating design choices, and collaborating with engineering peers. The role requires approximately 2–3 years of C# and MSSQL experience, Agile development experience, and a bachelor's degree or equivalent practical experience.

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.

Leads Deepgram’s GTM Engineering function, owning CRM, CPQ, forecasting, billing, data, integrations, automation, and internal tooling. Translates commercial needs into scalable systems and AI-powered workflows, establishes engineering standards, connects usage and revenue data, and partners with Product, Engineering, Finance, and Data teams. This player-coach role designs, codes, tests, ships production systems, and develops a small team while prioritizing automation and operational leverage.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.

Leads AWS-native application engineering initiatives across architecture, development, testing, deployment, and modernization. Sets technical direction, oversees multiple delivery workstreams, guides AI-enabled engineering practices, and develops scalable cloud solutions. Builds executive client relationships, shapes transformation roadmaps, supports business development, mentors engineering teams, and drives application performance, security, reliability, and cloud modernization across AWS and other major cloud platforms.

Principal Engineer responsible for defining the long-term architecture and modernization strategy for GitLab’s Fulfillment platform. The role drives technical direction across entitlements, licensing, provisioning, seat management, usage visibility, and cost management. Responsibilities include hands-on distributed systems engineering, migrations, performance and reliability improvements, cross-team influence, AI-assisted engineering adoption, and mentoring senior technical staff.

Lead the mobile engineering team in evolving iOS and Android applications toward an AI-native, thin-client architecture. Define participant API and platform direction, contribute Python to backend services, establish AI-assisted development processes, improve DevOps and continuous delivery, mentor engineers, and partner closely with Product and Design. The role requires principal-level technical leadership, product focus, system architecture expertise, and hands-on use of AI coding agents.