Top Remote Jobs in Denver & Boulder, CO

Build and scale Go backend services for agent quoting, configuration, and application submission. Design APIs and distributed systems, write unit and integration tests, resolve partner-specific issues, contribute to architecture, support production debugging, improve CI/CD automation, and use AI coding tools in daily engineering workflows. Collaborate with adjacent teams and mentor teammates through pairing and documentation.

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.

Lead revenue analytics by developing business cases, dashboards, KPI frameworks, experiments, and automated analytics solutions. Partner with client success, marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and scale data-driven execution. Serve as the analytics subject matter expert while translating structured and unstructured data into actionable recommendations and compelling stakeholder narratives.

Leads complex, cross-functional technical transformation and planning programs across engineering, product, analytics, and other teams. Establishes data-driven operational frameworks, improves software delivery processes, manages risks and dependencies, aligns stakeholders, supports change adoption, and drives continuous improvement across the organization.

Lead end-to-end analytics for major platform partnerships, identifying growth opportunities and informing product, investment, risk, and pricing decisions. Conduct complex analyses, design experiments, build scalable data models, metrics, dashboards, and AI-assisted workflows, and translate findings into business recommendations. Partner cross-functionally with Product, Engineering, Finance, Revenue, and Strategic Partnerships while mentoring analysts and improving analytical practices.

Architect and re-engineer highly scalable, resilient backend data systems supporting patient services. Lead distributed systems strategy, make architectural decisions, improve performance and reliability, mentor engineers, establish operational practices, and collaborate with product managers and cross-functional stakeholders to shape engineering and product direction.

Provides technical leadership for Zscaler Zero Trust Browser solutions across the sales lifecycle. Leads executive briefings, technical workshops, proof-of-value evaluations, deployments, and architecture discussions. Develops technical collateral, demos, test plans, and reference architectures while articulating browser security controls such as threat prevention, monitoring, DLP, private application access, and privileged remote access. Partners with sales and engineering to support customer outcomes, product enhancements, and successful technical wins.

Manage Lowe’s as a national account, driving revenue, margin, market share, distribution, digital performance, and profitability. Develop strategic account plans, oversee promotions and omnichannel initiatives, analyze financial and point-of-sale data, lead customer meetings, coordinate cross-functional teams, and optimize demand forecasting and supply chain execution. The role requires strong retail sales expertise, analytical ability, account relationship management, and flawless execution.

Leads the L1 client support function, managing support associates, ticket triage, SLA tracking, escalations, access provisioning, client communications, and support metrics. Drives process improvements through automation, standardized workflows, alerting, and knowledge-base development. Partners with Client Success, Product, Engineering, and QA to resolve issues and improve the client support experience.

Own quarterly product launches and release programs, optimizing workflows, resources, and messaging. Partner cross-functionally with Product, Revenue, R&D, and Marketing to deliver events, collateral, positioning, and go-to-market support. Serve as product marketer for assigned products, translate technical concepts into compelling narratives, manage approvals and deadlines, and use qualitative and quantitative data to measure launch performance and improve future strategies.

Provides cross-team technical leadership for complex backend initiatives, modular architecture, monolith modernization, API and platform standards, production operations, and AI-assisted engineering adoption. Designs shared patterns for services, data, eventing, security, testing, observability, deployment, and reliability. Partners with Product and Engineering leadership, mentors engineers, participates in incident response, and drives technical strategy without formal authority.

Delivers federal GitLab implementation work across FedRAMP, DoD, classified, and air-gapped environments. Installs, configures, upgrades, hardens, troubleshoots, and migrates GitLab deployments; supports compliance authorization; leads technical workshops; documents runbooks and automation; manages delivery risks; and collaborates with government stakeholders, architects, Product, and Engineering.

Build, test, ship, and operate production backend features with minimal guidance. Design APIs, background jobs, integrations, data models, migrations, and bounded services while maintaining security, performance, observability, and reliability. Review code, improve automated testing, investigate production issues, address technical debt, participate in operational support, and collaborate asynchronously with product, frontend, infrastructure, and security teams. Use AI coding tools responsibly by validating and correcting generated output.

Lead fraud strategy and influence business, product, and operational decisions across a rapidly growing identity and risk company. Responsibilities may include advising on fraud trends and attack patterns, translating insights into strategic recommendations, improving fraud prevention operations, partnering cross-functionally, engaging executive stakeholders, representing the company through industry thought leadership, and defining best practices for fraud, identity, and risk management.

Architect scalable data models and ELT pipelines powering the data lake, analytics, AI, and machine learning initiatives. Lead enterprise data modeling, governance, observability, discoverability, and self-service analytics products. Provide technical and business leadership, partner with data scientists and stakeholders, establish engineering standards, develop data tools and frameworks, and improve data literacy. The role also involves root-cause analysis, business storytelling, mentorship, and applying AI tools to streamline data processing and democratize access to data.

Serve as a senior privacy legal subject matter expert supporting global privacy compliance, primarily for Udemy. Advise on U.S. and international privacy laws, privacy impact assessments, AI and cybersecurity issues, incidents, data subject requests, regulatory inquiries, product counseling, and privacy program development. Partner with Legal, Privacy, Product, Engineering, and Information Security teams, advise senior leadership, and mentor colleagues.