Job Summary
Red Hat’s Global Engineering team is looking for an experienced software engineer to join our newly formed InstructLab team. In this role, you’ll contribute directly to Red Hat’s rapidly growing AI/ML (artificial intelligence and machine learning) family of products and will be responsible for managing the deployment of software releases and/or AI model artifacts to various staging and production environments, addressing issues with these deployments as they arise, and continuously improving the deployment process to enhance efficiency. Qualified software engineers in this role regularly participate in discussions and decisions around technical design and architecture, release planning, automated testing, and productization. This role is integral to ensuring that new features, bug fixes, and updates are delivered efficiently and reliably to end-users.
The ideal candidate will be a highly collaborative individual with a passion for working on complex projects in an open organization where contributions are valued and expected from all levels. This job role will require engaging in upstream open source communities. As this is a fast-moving area of opportunity for Red Hat, the ability to communicate productively and effectively with team members, stakeholders, and Red Hat leadership is critical.
This position reports a Manager of Software Engineering with the InstructLab team. This position must have the ability to partner collaboratively in our Boston, MA office at least 3 days per week.
Primary Job Responsibilities
Set up and maintain automated build systems; ensure that code can be compiled and built into deployable artifacts with minimal manual intervention.
Manage deployment of software releases to various environments (e.g., development, staging, production); this may involve creating scripts and using deployment tools to automate and streamline the deployment process.
Oversee versioning of software releases, ensuring that different versions of the software are correctly tagged and documented in version control systems.
Integrate various components of the software system, including third-party tools and libraries; ensure system components work together seamlessly.
Partner closely with quality engineers to ensure that automated tests are run as part of the build and deployment process. They may also be involved in setting up continuous integration/continuous deployment (CI/CD) pipelines.
Actively monitor the deployment and operation of software in production environments, troubleshoot issues that arise, and work on resolution strategies.
Document release procedures, configurations, and deployment processes to ensure that there is clear, reproducible guidance for future releases.
Collaborate with developers, quality engineers, and operations teams to ensure that software releases are aligned to expected timetables and meet production standards.
Contribute to the development of the open-source projects that comprise Red Hat’s AI family of products.
Regularly communicate with project stakeholders including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.
Required Skills
5+ years of experience as a software developer, software engineer, or similar roles.
Extensive experience developing in Python. Experience with Go and C/C++ languages are not required, but are considered nice to have.
Experience creating automation for GitHub, using GitHub actions or related continuous integration tools.
Experience developing functional and non-functional testing.
Experience working with production level environments and containers, troubleshooting issues, and working with YAML.
Proficiency with build automation tools (e.g., Jenkins, GitLab CI/CD, Travis CI).
Strong documentation skills to create clear, comprehensive release notes, procedures, and configuration guidelines.
Ability to quickly learn and use new tools and technologies.
Nice to Haves
Experience writing Kubernetes controllers and operators.
Experience with deployment tools and orchestration systems (e.g., Docker, Kubernetes, Helm).
Familiarity with AI and Machine Learning platforms, tools, and frameworks, such as: Tensorflow, PyTorch, LLaMA.cpp, and Kubeflow.
Experience creating Ansible automation scripts.
Experience with hardware accelerators, such as GPU, CUDA, and ROCm.
Understanding of DevOps methodology.
Bachelor's degree or higher in computer science or other related discipline.
Pay Transparency
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
About Red Hat
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
Benefits
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
Diversity, Equity & Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions of diversity that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.
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