Senior Software Engineer

Boston

Red Hat

Red Hat is the world’s leading provider of enterprise open source solutions, including high-performing Linux, cloud, container, and Kubernetes technologies.

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Job Summary

Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?

The Red Hat OpenShift AI team is looking for a Seniorl Software Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You’ll join an ecosystem that fosters continuous learning, career growth, and professional development. 

You will be contributing as a core developer for Data Science Pipelines, the core MLOps orchestration tool for OpenShift AI. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. This role is for an individual contributor who collaborates closely with other developers and cross-functional teams. You will have the opportunity to actively participate in both our downstream efforts as well as the upstream pipelines" rel="noopener noreferrer" target="_blank">Kubeflow Pipelines project. You should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.

What you will do:

  • Architect and lead implementation of of new features and solutions for OpenShift AI

  • Innovate in the MLOps domain by contributing meaningfully to upstream communities

  • Develop integrations between various portions of the OpenShift AI stack by leveraging Data Science Pipelines

  • Provide technical vision and leadership on critical and high impact projects

  • Ensure non-functional requirements including security, resiliency, and maintainability are met

  • Write unit and integration tests and work with quality engineers to ensure product quality

  • Use CI/CD best practices to deliver solutions as productization efforts into OpenShift AI

  • Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members

  • Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements

  • Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts

  • Give thoughtful and prompt code reviews

  • Represent RHOAI in external engagements including industry events, customer meetings, and open source communities

  • Mentor, influence, and coach a distributed team of engineers

What you will bring:

  • Advanced experience developing applications in Go

  • Advanced experience developing applications in Python

  • Advanced experience developing applications in Kubernetes, OpenShift, or other cloud-native technologies

  • Ability to quickly learn and guide others on using new tools and technologies

  • Proven ability to innovate and a passion for staying at the forefront of technology.

  • Experience with distributed systems (especially those that run on Kubernetes) and troubleshooting them

  • Autonomous work ethic, thriving in a dynamic, fast-paced environment

  • Experience providing technical leadership in a global team and delivering on a vision

  • Excellent written and verbal communication skills

The following will be considered a plus:

  • While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess

  • Understanding of how Open Source communities work

  • Experience with development for public cloud services (AWS, GCE, Azure)

  • Experience working with or deploying MLOps platforms

  • Experience with pipelines tools such as Argo or Tekton

  • Familiarity with data science workflows and machine learning pipelines

  • Experience writing Kubernetes/OpenShift controllers and operators

  • Experience writing DSLs in Python or other languages

#LI-JS1

The salary range for this position is $127,890.00 - $211,180.00. Actual offer will be based on your qualifications.

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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Category: Engineering Jobs

Tags: AWS Azure CI/CD Computer Science Distributed Systems Engineering Kubeflow Kubernetes Linux Machine Learning MLOps Open Source Pipelines Python Security

Perks/benefits: 401(k) matching Career development Equity / stock options Flex hours Flexible spending account Flex vacation Health care Medical leave Parental leave Salary bonus Team events Transparency

Regions: Remote/Anywhere North America
Country: United States

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