Top Remote Senior Level Software Engineer Jobs in CO

Build and maintain cross-platform Flutter applications for iOS and Android. Responsibilities include implementing state management, integrating RESTful APIs and external services, troubleshooting bugs, optimizing performance, reliability, security, and user experience, and managing app store deployments. The role involves collaborating in an agile team, contributing proactively to product decisions, and continuously improving mobile applications.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.

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, 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 maintain lead-to-order business systems across Salesforce and connected platforms. Design complex applications, declarative automation, Apex and Lightning solutions, integrations, APIs, data models, and security controls. Remediate technical debt, lead migrations and tool rollouts, manage testing and cutovers, and ensure production systems are observable, documented, and governed. Partner cross-functionally to translate business requirements into scalable solutions while supporting AI capabilities in go-to-market workflows.

Build and expand fintech and payment systems using Go, microservices, databases, and cloud technologies. Design production APIs and tooling, diagnose customer issues, manage full release lifecycles, document systems, and mentor engineers. Collaborate with product and business teams while guiding AI agents to produce maintainable, observable, testable code that meets engineering standards. Work independently in a high-availability environment and contribute to next-generation financial products.

Design, build, and operate backend services for Bestow’s insurance platform using Python, Go, Java, and PostgreSQL. Collaborate on technical decisions, integrations, carrier onboarding, and scalable platform capabilities. Mentor engineers through reviews and pairing, improve production reliability and observability, participate in on-call support, and communicate technical decisions in a remote-first environment. Use agentic AI coding tools daily and help establish effective AI-assisted development practices.

Build and optimize MongoDB’s SQL interface, including query engines, SQL-to-MQL translation, database connectors, and BI integrations. Develop backend systems that improve performance, scalability, reliability, and usability for large datasets and complex queries. Collaborate with product managers and customer experience teams, contribute to roadmap initiatives, resolve bugs, and lead major technical projects.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.