DevOps Engineer II in DataRobot

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.We are searching for a DevOps Engineer II who enjoys working with engineers across disciplines and teams to architect efficient, reliable and scalable software systems. This role requires expertise in Kubernetes and cloud computing, as well as strong automation skills in Python, Golang, Helm and Terraform.Key Responsibilities:Rightsize workloads for efficient resource utilization in Kubernetes and cloud serviceContribute to the development, deployment and operations for new microservices within the platformReview technical specifications to provide guidance and help development teams drive operational excellenceWork hand-in-hand with software developers to facilitate the development and adoption of "Paved Road" solutions and DevSecOps processesSupport large-scale services across multiple environmentsAssist in resolution efforts for problems ranging from infrastructure network layers to application scalingParticipate in on-call rotationKnowledge, Skills and Abilities:4+ years of experience in DevOps, systems engineering, or a related role.Strong experience with:KubernetesHelmPythonGolangTerraformLinuxGit and GithubNice To Have:Experience with:AWS, Azure, GCPRightsizing workloadsCloud cost dashboardsHarness CI/CDArtifactoryMongoDBRabbitMQPostgresRedisKnowledge of TCP/IP networking, SSL, DNS, Load BalancersHandle high-pressure situations in a calm and professional mannerThe 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 CustomersSet High StandardsBe Better Than YesterdayBe RigorousAssume Positive IntentHave the Tough ConversationsBe Better TogetherDebate, Decide, CommitDeliver ResultsOvercommunicateResearch 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 anEqual 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.All applicant data submitted is handled in accordance with our Applicant Privacy Policy. Show more Show less Посадовий рівень Старший середній рівень Тип зайнятості Повний робочий день Посадові обов’язки Інженерія і Інформаційні технології Галузі Розробка програмного забезпечення