Top Tech Jobs & Startup Jobs in CO

Design, build, and maintain scalable ETL/data pipelines for Comcast's national locates program. Ingest and transform data from multiple internal and external sources, optimize performance and cost, ensure data quality and governance, collaborate with analysts and stakeholders, troubleshoot pipelines, and document data structures and processes.

Design, execute, validate, and analyze subscriber direct mail campaigns. Build audience selections in Adobe Campaign, perform QA and data validation, ensure compliance with data governance, coordinate vendors and production, and deliver performance reporting and optimization recommendations to stakeholders.

Design and develop spacecraft mechanical systems for satellites and on-orbit vehicles. Assist in structural analysis, prototyping, and integration tasks, ensuring designs meet performance and reliability standards.

As Lead Systems Engineer, you will define and implement mission requirements for space systems, lead cross-functional technical teams, and guide verification efforts, ensuring mission success and operational readiness.

The role involves designing and implementing simulation software for spacecraft using C++ and collaborating on algorithms for orbital mechanics and control.

Lead the engineering effort for a seed-stage dating app: audit and improve the existing codebase, design and build v2 (mobile and backend), implement real-time features, define engineering standards, scale infrastructure on AWS, and, after fundraising, hire and mentor a small team while shaping the technical roadmap.

Own and assess the existing Flutter codebase, recommend improvements, architect and build a 2.0 version post-funding, implement real-time features, scale infrastructure (NestJS, MongoDB, AWS), set engineering standards, and hire/mentor a small engineering team as a founding technical leader.

Own Tier 2/3 escalations for payment processing, API integration, and SaaS platform issues. Troubleshoot across payment rails, third-party integrations, and internal systems (PostgreSQL, Firebase, JetAdmin). Build and maintain AI agents and automation to reduce ticket volume. Partner with Product and Engineering to resolve systemic issues, document root causes, and serve as a technical escalation resource for frontline support.

Lead Riot's multi-discipline data center engineering organization (mechanical, electrical, controls), set technical standards and QA/QC, approve designs at key milestones, oversee consultants and vendors, develop engineering talent, and represent engineering in cross-functional and executive decision-making.

Lead and build the DevSecOps function: implement SOC 2 controls, automate compliance and evidence pipelines, own cloud security posture, CI/CD security gates, vulnerability management, and AI-assisted auto-remediation to embed security as code across the developer lifecycle.

Lead architecture and scaling of an automated, AI-driven vulnerability detection and remediation platform across cloud, containers, and applications. Correlate SAST/DAST/SCA findings, implement AI-assisted triage, run red/purple team validation, and build automated remediation pipelines integrated into CI/CD for continuous compliance and risk reduction.

Serve as primary partner contact managing onboarding, renewals, and growth for higher-ed clients. Drive enrollment and retention goals, report on metrics, remove barriers for learners, design scalable processes, and coordinate cross-functional teams to improve partner satisfaction and outcomes.

The MBSE Core Capabilities Engineer focuses on advancing tools and infrastructure for Model-Based Systems Engineering, requiring expertise in Cameo/MagicDraw and SysML.

The MBSE Core Capabilities Engineer supports Model-Based Systems Engineering by advancing tools and infrastructure, collaborating with teams, and improving adoption of MBSE methods.

The MBSE Core Capabilities Engineer leads Tools and Infrastructure for Model-Based Systems Engineering, providing expertise in tools and collaboration across sectors, while supporting MBSE adoption and organizational change management.

Build and optimize backend data pipelines and calculations for 7M+ securities using Python/Django. Implement Airflow pipelines, pandas/Celery-based async calculations, database query tuning, caching, scalable data models, incident investigation, code reviews, and cross-team collaboration to ensure timely, accurate financial data.