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Senior DevOps Engineer

Norwest Venture Partners

Enterprise (OR)

Remote

USD 120,000 - 150,000

Full time

Today
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Job summary

A leading AI company is seeking a Senior DevOps Engineer to build and manage the core infrastructure for its SaaS solutions. You will develop Kubernetes platforms, enhance onboarding for application teams, and address technical challenges in a collaborative environment. Ideal candidates should have extensive experience in Kubernetes, cloud infrastructure, and programming with Python or Golang. This role promises impactful work and the chance to innovate within a dynamic team.

Benefits

Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
Paid Parental Leave
Global Employee Assistance Program (EAP)

Qualifications

  • 7+ years in high-quality infrastructure solutions with coding standards.
  • 3+ years building infrastructure solutions with major cloud providers.
  • Expert proficiency in Kubernetes and operations.

Responsibilities

  • Develop a fully-featured Kubernetes platform for improved developer experience.
  • Monitor and maintain performance of Kubernetes clusters.
  • Engage with customers to understand needs and build appropriate solutions.

Skills

Kubernetes expertise
Infrastructure as Code (IaC)
Python/Golang programming
Cloud infrastructure experience
CI/CD pipeline design
Critical thinking

Tools

AWS
Azure
GCP
Job description
  • Company Address: 225 Franklin St, Floor 13, Boston, Massachusetts 02110, US
About DataRobot

DataRobot is the Value-Driven AI company, empowering organizations to accelerate AI from idea to impact. With over a decade at the forefront of AI innovation, we know what it takes to make a real difference – to your bottom line, to your business vision, and to the world around us.

Job Description

Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.

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!

Responsibilities
  • Develop a fully-featured Kubernetes platform built around industry standards to improve developer experiences and enable self-service capabilities
  • Work closely with internal application teams to improve their Kubernetes onboarding experience
  • Assist app teams in understanding potential challenges and help them architect their systems on Kubernetes
  • Design and implement new platform features to meet business and internal team goals
  • Monitor and maintain the performance and reliability of the existing Kubernetes platform clusters, and troubleshoot issues
  • Follow trends in the Kubernetes community and adopt new technologies as they emerge
  • Engage with customers and stakeholders to understand needs and build appropriate products and solutions
  • Participate in strategy and roadmap definition and prioritization
  • Seek, give, and receive constructive feedback, including code reviews
  • Provide on-call escalated support for services owned by the team
Knowledge, Skills, and Abilities
  • 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
  • 3+ years of experience building infrastructure solutions in at least one major cloud provider (AWS, Azure, or GCP)
  • Expert proficiency in Kubernetes, including building and running software systems on Kubernetes clusters in production
  • Expert proficiency in Kubernetes architecture and operations including resource management, scheduling, auto-scaling, and cluster networking
  • Hands-on experience with Infrastructure as Code (IaC) principles
  • Hands-on experience in developing software and automation scripts with Python/Golang
  • Experience designing and operating diverse CI/CD pipelines with Harness.io or similar platforms (Github Actions, Gitlab CI, JenkinsX, ArgoCD)
  • Deep understanding of core computer science — operating systems, distributed systems, networking, and concurrent programming
  • Experience designing, implementing, and supporting highly scalable cloud services from the ground up
  • Aptitude to deal with ambiguity and enthusiasm to tackle difficult issues
  • Ability to work effectively asynchronously and in a multicultural, multi-timezone team
  • Excellent critical thinking skills to evaluate multiple solutions with different tradeoffs
Nice to have
  • Open-source contributions
  • Experience in building Infrastructure Platforms
  • 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!

  • Wow Our Customers
  • Set High Standards
  • 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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