Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Designs and leads the architecture strategy for a next-generation sports betting and trading platform. Responsibilities include developing architectural roadmaps, evaluating enterprise-wide solutions, overseeing proofs of concept, governing implementation, integrating third-party solutions, communicating architecture to senior leadership, and coordinating cross-departmental technical initiatives. The role requires expertise in scalable distributed systems, cloud architecture, high-throughput platforms, microservices, and enterprise-level greenfield development.

Build and maintain real-time, event-based systems for the Offers team. Lead the design and development of scalable services, create maintainable technical solutions, enforce code quality and governance, and own systems from development through production. The role involves mentoring developers, estimating work, documenting solutions, supporting business needs, and working across Go, TypeScript, React, SQL, Kafka, and GCP.

Analyze player accounts and transaction data for fraudulent or syndicated activity, evaluate risk profiles, review alerts, identify emerging threats, and support risk mitigation measures. The role includes account administration, manual adjustments, internal second-line support, and maintaining awareness of betting products and promotions. Requires flexibility to work evenings, weekends, and federal holidays.

Analyze player accounts, transactions, betting patterns, and customer activity to identify fraud and risk behaviors. Investigate emerging threats, assess deposits and withdrawals against internal controls, produce detailed fraud reports, contact customers, and provide second-line operational support. The role requires flexibility for evenings, weekends, and federal holidays while delivering accurate work and customer service in a fast-paced online gambling environment.

Leads the technical design, architecture, development, deployment, and lifecycle management of AI-powered agents and automation workflows. Mentors AI engineers through code reviews, pair programming, and knowledge sharing; establishes engineering standards; makes scalable and secure architecture decisions; resolves complex technical issues; develops technical roadmaps; and evaluates emerging technologies.

Lead and deliver scalable software solutions for AMO platforms during a ground-up re-architecture. Design and implement verification systems using technologies including Golang, React, TypeScript, .NET, Kafka, SQL, and cloud platforms. Lead a small development team, provide technical guidance and mentoring, ensure code quality and architectural governance, estimate work, and support systems through production.

Leads and develops a software engineering team responsible for business-critical platforms, AI-enabled systems, and operational tooling. Oversees people, delivery, governance, quality, architecture, SDLC transformation, and AI efficiency initiatives. Remains technically hands-on with scalable, low-latency, highly available systems, event-driven architecture, backend services, messaging, middleware, databases, React, and TypeScript. Mentors developers, removes delivery blockers, manages risks, supports appraisals, and drives continuous process improvement.

Manage affiliate marketing partnerships and drive partner growth across North America. Lead and develop associates, negotiate commercial agreements, oversee partner contracts and compliance, analyze performance data, and report results to marketing stakeholders. Identify growth opportunities, improve affiliate platforms and reporting, contribute regional market insights, support marketing strategy, and represent the company at partner events.

Leads and grows the US data science capability while remaining hands-on with coding, machine learning model development, deployment, and MLOps. Mentors data scientists and machine learning engineers, establishes workflows and standards, translates business problems into scalable solutions, and partners with product, data, and UK-based teams. The role emphasizes rapid delivery, production-grade systems, stakeholder communication, and Google Cloud-based model automation, monitoring, and deployment.

Build, operate, and support cloud resources for sports trading and core systems. Partner with product delivery teams and the central cloud platform team to deliver self-service automation, apply cloud standards, support stakeholders, and promote modern engineering practices. Responsibilities include end-to-end cloud resource delivery, public cloud adoption, infrastructure automation, platform operations, and continuous improvement across critical software products.