Top Hybrid Senior Level Software Engineer Jobs in CO

The Senior Data Engineer will develop real-time streaming data pipelines for pricing algorithms and machine learning models, ensuring low-latency data delivery and system reliability. Responsibilities include collaborating with other teams, defining architectural standards, and mentoring junior engineers.

The AV Safety Engineering Analytics Engineer develops data analytics infrastructures, defines metrics for safety assurance, and creates visualizations for automated vehicle technologies, enhancing decision-making through data integration and analysis.

As a Senior Software Engineer in Growth, you'll drive revenue through technology, collaborating with cross-functional teams to build solutions and products that enhance customer growth and operational efficiency. You'll utilize your skills in full stack development, leveraging data for impactful decisions while mentoring junior engineers.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

The Revenue Systems role involves owning Salesforce architecture, leading projects for data management, automation, and collaborating on AI-driven initiatives to support revenue processes.

Lead the development and evolution of a modern data lakehouse, manage project life cycles, mentor team members, and ensure data quality and operational standards.

The Senior Data Engineer will deliver a high-quality data platform, collaborate with cross-functional teams, and implement software solutions. Responsibilities include code reviews, unit testing, and production deployments using agile methodologies.

The Senior Backend Engineer will develop the Payroll product, overseeing the entire development cycle from design to deployment, in a microservices architecture.

As a Principal Software Engineer, you will write scalable SaaS solutions, optimize performance, and address technical debt while collaborating across teams.

Lead the architecture and reliability of AI-driven product applications, ensuring security, performance, and facilitating rapid prototyping and shipping. Work closely with a cross-functional team to solve user problems and translate business needs into technical solutions.