Top Hybrid Senior Level Software Engineer Jobs in CO

As a Senior Software Engineer, you will design and develop foundational services for enterprise clients, focusing on backend architecture, system design, and operational excellence. You will utilize technologies like Go, PostgreSQL, and Kubernetes, and ensure high availability through observability tools.

Design, build, and maintain resilient full-stack services for distributed financial SaaS systems. Lead end-to-end projects, optimize performance, ensure security and observability, mentor teams, and reduce technical debt.

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.

As a Senior Full-Stack and Platform Software Engineer at mabl, you will develop features for an AI-powered test automation platform, enhancing user experiences, designing APIs, and optimizing data pipelines while collaborating with cross-functional teams.

This role involves developing software solutions, performing code reviews, maintaining test automation, and collaborating on technical problem-solving. Senior engineers also provide mentorship and contribute to process improvements.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

The Software Engineer will design and scale back-end systems, improve features, ensure system reliability, and collaborate across teams while focusing on performance and security.

Design, maintain, and evolve core backend systems and APIs. Collaborate with product teams to create durable and reusable systems while enhancing performance and security.

The Senior Analytics Engineer will optimize and manage data processes, mentor team members, and enhance data literacy across the organization.

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.