Top Hybrid Software Engineer Jobs in CO

Lead design and implementation of scalable, cloud-native (AWS) data platforms and pipelines. Mentor teams, drive technical decisions and enterprise architecture, ensure security and high availability, work cross-functionally with customers and product teams, and support/maintain production systems and APIs.

As a Staff Software Engineer, you'll design, build, and test Gusto's core platform services, mentor engineers, and collaborate with various teams to solve complex engineering problems.

The Software Engineer develops satellite software systems, performing all software life cycle functions from requirements to support, while maintaining cross-functional collaboration.

The engineer will develop software for satellite systems, managing the full software life cycle, including design, coding, testing, and integration, while collaborating effectively in a cross-functional team environment.

The Senior Software Engineer will design and optimize recommendation algorithms, maintain data pipelines, and improve personalized user experiences using machine learning techniques and backend engineering skills.

The Backend Software Engineer will develop data ingestion pipelines, implement observability tools, and provide technical support while improving team collaboration.

Lead and manage an engineering team to deliver AI-based services, providing technical guidance, coaching, and ensuring quality and delivery goals.

The Software Engineer will develop tools for data migration from relational databases to MongoDB, collaborating with teams to implement high-quality backend code.

Lead and mentor in NetSuite development, designing, developing, and implementing custom solutions, collaborating with clients, and maintaining high coding standards.

Lead multiple cross-product engineering teams (Account Foundations, Frontend Platform, Special Projects) to define technical direction, align stakeholders, drive architectural decisions, coach engineering leaders, and deliver foundational systems and exploratory initiatives that enable product teams and improve customer experiences.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.