Job Description:
DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on prem or on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI.
As a Senior DevOps Engineer in the Control Plane Services team, you will help us deliver the mission of building, running, and owning the lifecycle of the core infrastructure for DataRobot Saas. Our team owns Kubernetes implementations across SaaS and enterprise solutions within the company and builds the platform that powers high-quality, rapid software delivery within DataRobot.
You will collaborate with technically skilled colleagues to address complex technical challenges and build internal products, services, and automation that establish the infrastructure and fleet management for the DataRobot AI SaaS Platform. You will evaluate and influence the ongoing design, architecture, standards, and methodologies for operating services and systems.
The solutions you build will be high-impact and rolled out to our customer base across the world. If you are excited to work in a dynamic environment, we would love to hear from you!
Key responsibilities:
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Develop a fully-featured Kubernetes platform built around industry standards to improve developer experiences and enable self-service capabilities
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Work closely with internal application teams to improve their Kubernetes onboarding experience
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Work with app teams to understand their potential challenges and help them choose the best way to architect their systems on Kubernetes
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Design and implement new platform features to meet business and internal team goals
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Monitor and maintain the performance and reliability of the existing Kubernetes platform clusters, and identify and troubleshoot any issues that may arise
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Closely follow trends in the Kubernetes community and take advantage of new technologies as they emerge
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Work with the customers, and stakeholders to understand their needs and build the right products and solutions
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Take an active part in the strategy and roadmap definition and prioritization
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Seek, give, and receive feedback in a constructive manner, including but not limited to code reviews
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Engage in engineering on-call escalated support of services owned by the team
Knowledge, Skills, and Abilities:
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7+ years of proven experience with high-quality infrastructure solutions in a collaborative environment including coding standards, code reviews, source control management, build processes, testing, and operations experience
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3+ years of experience building infrastructure solutions in at least one major cloud provider (AWS, Azure, or GCP)
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Expert proficiency in Kubernetes. Experience in building and running software systems on Kubernetes clusters in production
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Expert proficiency in Kubernetes architecture and operations including resource management scheduling, auto-scaling and cluster networking
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Hands-on experience with infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles
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Hands-on experience in developing wide variety of software and automation scripts with Python/Golang
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Experience designing and operating diverse CI/CD pipelines with Harness.io or similar platforms such as Github Actions, Gitlab CI, JenkinsX or ArgoCD
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You have a deep understanding of core computer science — including operating systems, distributed systems, networking, and concurrent programming
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You have experience and insight into designing, implementing, and supporting highly scalable cloud services from the ground up
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You have an aptitude to deal with ambiguity, and enthusiasm to help tackle difficult issues
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You can work effectively asynchronously and face-to-face in a multicultural team in multiple timezones around the world
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You have excellent critical thinking skills and can objectively evaluate multiple solutions with different tradeoffs
Nice to have:
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Open-source contributions
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Experience building Kubernetes operators
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Experience in building Infrastructure Platforms
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Expert in developing a wide variety of software with Python/Golang
The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:
- Wow Our Customers
- Set High Standards
- Be Better Than Yesterday
- Be Rigorous
- Assume Positive Intent
- Have the Tough Conversations
- Be Better Together
- Debate, Decide, Commit
- Deliver Results
- Overcommunicate
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
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