Work closely and collaboratively with internal governance and compliance functions such as Cyber Security and Data Privacy to establish and work within security guardrails without obstructing end-user productivity.
Champion a production first mindset to ensure the necessary support for infrastructure and platforms is available to scale exploratory research to production.
Candidate Knowledge, Skills and Experience
Bsc/MSc/B.Tech/M.Tech degree in Computer Science or related quantitative or analytical field.
3-5 years of demonstratable experience working with AWS or equivalent cloud
3-5 years of experience working with Kubernetes and container-based applications.
3 years or more of administering a production cluster, with an understanding of operators, storage classes and service meshes.
3 years or more of experience building and delivering software using the Python programming language, exceptional ability in other programming languages will be considered
3 or more years of demonstratable experience with the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale using Infrastructure of Code
Experience working in an Agile team
Experience in working in a support environment or an understanding of ITIL framework
Experience working with internal security standards and frameworks
Experience working with GxP compliant life science systems will be looked upon favorably
Experience leveraging DevOps to enable automation strategies
Creative, collaborative and resilient.
Excellent communication is a necessity.
Desired skills
2 or more years of demonstratable experience with the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale using Infrastructure of Code.
2 years or more of administering a production cluster, with an understanding of operators, storage classes and service meshes.
Collaborate with Data Scientists and Machine Learning Engineers from across the company to understand their challenges. You will need to work with them to triage and resolve issues ranging from developmental to production.
Work closely and collaboratively with internal governance and compliance functions such as Cyber Security and Data Privacy to establish and work within security guardrails without obstructing end-user productivity.
Champion a production first mindset to ensure the necessary support for infrastructure and platforms is available to scale exploratory research to production.
Candidate Knowledge, Skills and Experience
Bsc/MSc/B.Tech/M.Tech degree in Computer Science or related quantitative or analytical field.
3-5 years of demonstratable experience working with AWS or equivalent cloud
3-5 years of experience working with Kubernetes and container-based applications.
3 years or more of administering a production cluster, with an understanding of operators, storage classes and service meshes.
3 years or more of experience building and delivering software using the Python programming language, exceptional ability in other programming languages will be considered
3 or more years of demonstratable experience with the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale using Infrastructure of Code
Experience working in an Agile team
Experience in working in a support environment or an understanding of ITIL framework
Experience working with internal security standards and frameworks
Experience working with GxP compliant life science systems will be looked upon favorably
Experience leveraging DevOps to enable automation strategies
Creative, collaborative and resilient.
Excellent communication is a necessity.
Desired skills
2 or more years of demonstratable experience with the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale using Infrastructure of Code.
2 years or more of administering a production cluster, with an understanding of operators, storage classes and service meshes.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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