Top Remote Software Engineer Jobs in CO

The Software Engineer will develop tools for data migration from relational databases to MongoDB, collaborating with teams to implement high-quality backend code.

The role involves leading the Code Gen team to modernize legacy applications using AI-powered tools, ensuring system scalability and efficiency through collaboration and strategic technical decisions.

Develop and improve MongoDB’s distributed database networking and observability components. Responsibilities include writing production-level C++ code, enhancing performance, availability, scalability, and resource efficiency, integrating observability frameworks, leading medium-sized projects, collaborating across the product lifecycle, and participating in code reviews and technical design. The role requires strong software architecture fundamentals and an interest in networking, observability, and computer systems internals.

Design, build, and improve scalable backend systems that collect hard-to-access OSINT; build pipelines and ETL for messy data; collaborate with product and mission teams; mentor engineers and ensure reliable data delivery for DoD workflows.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

As a Senior Principal Engineer, you'll define and drive the technical strategy for customer experience platforms, lead architectural decisions, and mentor engineering teams to enhance customer and agent experiences.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, build data infrastructure, and productionize AI/ML capabilities. Drive complex multi-team initiatives, influence engineering strategy, establish technical standards and operational excellence, and mentor senior engineers. Partner with product, data science, ML, and engineering teams to translate business needs into scalable solutions.

Build and maintain full-stack software across data models, APIs, user interfaces, workflows, and production systems. Develop accessible, form-driven applications using TypeScript, Node.js, NestJS, React, and Next.js. Design transactional and flexible databases, implement asynchronous processing, and write unit, integration, and end-to-end tests. Participate in code reviews and technical design discussions while improving scalability, security, reliability, and WCAG compliance. Own features end to end with growing autonomy and collaborate with senior engineers and technical leadership.

Leads a backend platform engineering team, overseeing hiring, coaching, delivery, roadmap planning, architecture, and cross-functional collaboration. Builds reusable services, APIs, tools, and self-service capabilities supporting multiple products. Drives scalability, reliability, developer experience, observability, security, automation, incident response, capacity planning, and operational excellence while contributing to technical decisions and troubleshooting.

Build SDKs, self-service apps, and reusable abstractions for Coinbase's data platform. Develop data integration and processing tools, enable observability and security (cataloging, lineage, access controls), and collaborate with analysts, data scientists, and engineers to scale and operationalize data pipelines and models.

Lead Affirm’s Resilience Engineering team, defining strategy and building platforms for safe production load testing and chaos engineering. Manage engineers, establish safeguards such as isolation, approval workflows, rollback, observability, and auditability, and partner across infrastructure, security, and product teams to improve reliability. Drive adoption of resilience practices, identify distributed-system weaknesses, and guide monitoring, alerting, and incident response for production experiments.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.