Top Software Engineer Jobs in CO

Develop Android system applications for Toast’s device management platform, focusing on background services, device policy enforcement, setup, firmware and app updates. Support new hardware and OS upgrades, expand automated testing with Robot Framework, investigate production issues, and collaborate with product, hardware, QA, and software teams. The role requires strong Android development skills in Java or Kotlin, Android architecture libraries, debugging tools, and source control.

Build and scale mission-critical tips, earnings, and payroll platforms for restaurant employees. Own systems end to end, lead complex projects from design through deployment, improve reliability and correctness, collaborate with product and design, review code, mentor engineers, and deliver scalable backend services that affect employee pay and product revenue.

Design, build, and operate highly available, secure, large-scale cloud services and infrastructure. The role focuses on performance optimization across infrastructure, databases, and APIs; establishing engineering standards; shaping technical direction with Product; and mentoring engineers. The team uses Kotlin, Go, AWS, PostgreSQL, DynamoDB, Terraform, and Apache Pulsar to support distributed, event-driven systems processing billions of requests daily.

Own and deliver quarterly engineering goals for Affirm’s ML Feature Platform. Design, develop, and launch scalable backend systems, lead engineers through ambiguous problems, collaborate with product and design stakeholders, improve platform reliability and availability, support on-call operations, establish quality standards, and mentor team members. The role focuses on highly available distributed systems supporting machine learning feature creation, storage, serving, and offline backfilling.

Leads the data platform engineering team, owning architecture, roadmap, ingestion, orchestration, warehouse, BI, streaming, AI-agent capabilities, data quality, governance, and self-service infrastructure. Manages and develops senior engineers, drives technical standards, reviews designs and code, supports incident response, and partners across engineering, analytics, finance, security, compliance, and risk. Requires hands-on data platform, AI, and technical leadership experience.

Lead the technical direction for Babylist’s new search team, building an in-house search platform from scratch. Own indexing, retrieval, ranking, query understanding, personalization, relevance measurement, conversational search, and integration with recommendations and AI. Drive architecture, product decisions, cross-team initiatives, production delivery, platform adoption, and search quality improvements while coaching senior engineers and partnering with product, design, and data.

Leads Google Cloud-native engineering programs, overseeing application architecture, development, testing, modernization, and deployment. Directs multiple workstreams, shapes client roadmaps, advises on technical decisions, and develops generative AI solutions using Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation. Builds executive client relationships, identifies business opportunities, governs LLMOps and quality practices, and coaches engineering, testing, and AI delivery teams.

Leads the design, development, testing, integration, and deployment of scalable cloud products and platforms. Reviews designs and code for compliance, improves product quality, integrates emerging technologies, analyzes complex application and systems problems, and provides technical guidance and mentoring. Collaborates with project teams and communicates architecture and design proposals to senior management.

Develop and sustain full-stack web applications, backend services, RESTful APIs, and data analytics capabilities for a large-scale government platform. Build interactive dashboards, visualizations, search tools, and analytical workflows integrating complex datasets, models, and data services. Collaborate with data scientists, engineers, analysts, and government stakeholders while supporting testing, CI/CD, deployment, troubleshooting, performance optimization, and secure software development.

Lead architecture and hands-on development of a scalable fraud and payment risk platform. Build backend services, APIs, feature pipelines, configurable rules, experimentation infrastructure, and machine-learning lifecycle tooling. Own reliability, observability, monitoring, performance, and safe production deployments. Collaborate with product, risk policy, data science, and engineering teams while mentoring engineers and driving complex initiatives from design through production.

Develops, tests, integrates, documents, and supports embedded software for satellite, airborne, and ground systems. Responsibilities span the full software lifecycle, including requirements, architecture, design, coding, testing, integration, and deployment on Linux-based systems. The role also involves building test infrastructure, applying formal development practices, collaborating across teams, and maintaining software configuration standards. Work is primarily on-site and may involve laboratory, production, cleanroom, or outdoor environments.

Build full-stack geospatial applications and platform components for defense and intelligence users. Develop interactive mapping tools with TypeScript, React, Tailwind, Node.js, and PostgreSQL; design reusable map components; ingest, analyze, and visualize high-volume geospatial data; integrate agentic AI analyses; and collaborate with customers, mission owners, designers, and engineers to create intuitive operational workflows.