DevOps Engineer

Company: Proofpoint
Company: Proofpoint
Location: Draper, UT
Commitment: Full time
Posted on: 2024-08-07 05:21
It's fun to work in a company where people truly BELIEVE in what they're doing!We're committed to bringing passion and customer focus to the business.DevOps EngineerYou will be part of a team that builds platforms (Infrastructure and automation) and enables delivering data science projects. It’s a cross functional team, and your area is MLOps/DevOps.  You will have some support duties, but these are restricted to work hours/days or extreme escalation situations.   As part of the ML Platform team, you will be expected work side by side to creatively identify, design, and implement platform solutions in AWS that reduce operational burden.  You will be expected to achieve this by following the principles of “infrastructure as code”, leveraging your knowledge of ML workflows & tooling, and building infrastructure, integrations, tooling, and services in collaboration both within and across teams . Automation and reduction of human effort and error are part of the DNA of the team.Who You AreYou don’t have to be an expert in everything. We are more interested in your ability to understand operational needs, in cheerfully helping to resolve problems, and in your desire and ability to improve your skills and help others succeed.That said, you will need to come with experience related to operating production systems.Experience supporting teams across regionsExperience operating production platforms using infrastructure & configuration as codeGood at collaborating and communicatingAble to code or script tooling to enable automation within the platformTo succeed you will also need:A degree in CS/IT/Engineering or related field or equivalent experienceA strong desire to learn how to operationally scale data scienceA willingness to learn new tools and skillsExperience in the following areas is helpful, but expertise in all of them is not required or expected, though you should be familiar with a fewAWS Data Processing in the large (Spark, Python ecosystem)ETL PipelinesFamiliarity with Data Science or Machine LearningKubernetesDockerPythonGitLinux system administrationInfrastructure as Code tools such as TerraformWhy ProofpointAs a customer focused and driven-to-win organization with leading edge products, there are many exciting reasons to join the Proofpoint team. We believe in hiring the best the brightest and cultivating a culture of collaboration and appreciation. As we continue to grow and expand globally, we understand that hiring the right people and developing great teams is key to our success! We are a multi-national company with locations in many countries, with each location contributing to Proofpoint’s amazing culture! #LI-AN1If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable pay and/or equity. We offer a competitive benefits package that includes flexible time off, a robust well-being program that provides for 4 global wellbeing days per year, and a 3-week work from anywhere option.Base Pay Ranges:SF Bay Area, New York City Metro Area:Base Pay Range: 105,420.00 - 165,660.00 USDCalifornia (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:Base Pay Range: 88,340.00 - 138,820.00 USDAll other cities and states excluding those listed above:Base Pay Range: 79,170.00 - 124,410.00 USD
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