RH
Senior Software Engineer
Red Hat3 Locations$119k – $196kPosted 14 May 2026
Job Description
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. We strive to make software freely accessible to everyone around the world. Software developed at Red Hat runs in vehicles that land on the moon, airlines, banks, trains, social media, health care, academic institutions, robots, and many other places.
The Red Hat Ansible Engineering team is seeking a Senior Software Engineer to join us. In this role, you will work as part of a team to develop and maintain components within the Ansible Automation Platform ecosystem. You will deliver enhancements to our automation mesh offering and improve integration with our customers' infrastructure environments’ automation workloads through development on our Hashicorp Platform integrations, helping to deliver impactful new features and enhancements to our customer base.
What you will do:
Lead the design, implementation, and maintenance of complex, production-grade software solutions deployed at scale for the Ansible Automation Platform ecosystem.
Mentor and coach other engineers on best practices, code quality, and system design, fostering a culture of quality within the team.
Own and deliver features with clear business impact, ensuring high quality and value to the end user.
Lead efforts to drive and maintain the Red Hat Automation Platform in sustaining its de-facto industry standard automation platform reference.
Troubleshoot and resolve complex problems in the network and infrastructure space, utilizing your depth of knowledge in the Ansible Automation Platform and its components.
Collaborate with and act as a project reviewer or maintainer for other engineers and architects, driving the creation and refinement of complex software design proposals and contributing to testing frameworks.
Support and implement the adoption of new tools and technical practices within the team to advance engineering efficiency and quality.
What you will bring:
Passion for automation and an excitement to automate all the things
Deep expertise in Linux, system administration, shell scripting, and source control fundamentals.
Extensive professional experience with Python or Go, including designing maintainable, well-tested code
Experience with Hashicorp Terraform and Hashicorp Vault, including the use of Terraform for infrastructure provisioning and Vault for secrets management
Demonstrated experience leading software development within a platform ecosystem, including making architectural decisions that affect multiple components
Ability to independently scope and decompose ambiguous problems into well-defined deliverables
Strong proficiency in Containerization (Docker, Kubernetes), Cloud providers, and REST API principles.
Deep understanding of infrastructure systems and networks, including familiarity with multiple customer deployment models
Customer empathy with a clear understanding of how automation of repetitive tasks provides business value
Demonstrated adoption of AI methodologies and tools to enhance efficiency, elevate code quality, guide problem solving and spark innovation
Proven experience in establishing standards and best practices in a team through expertise and influence
Successful experience in mentoring junior and mid-level engineers through code reviews, pairing, and technical feedback
Strong written and verbal communication skills in English, with the ability to communicate technical concepts to diverse audiences
Experience with the following is considered a plus:
Experience integrating with third-party providers, leveraging APIs and implementation of abstraction layers
Experience with Terraform provider development
Experience with public Cloud providers
Experience with Red Hat Enterprise Linux (RHEL) and/or Red Hat OpenShift, including administration and management
Familiarity with Ansible an ... (truncated, view full listing at source)
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