AI Infrastructure Engineer at Version 1 Accelerate
Mumbai, maharashtra, India -
Full Time


Start Date

Immediate

Expiry Date

28 May, 26

Salary

0.0

Posted On

27 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Kubernetes, Cloud, CI/CD, Go, Python, AI Coding Assistants, Platform Engineering, AI Infrastructure, Training, Inference, MLOps, Reliability, Security, Scalability

Industry

IT Services and IT Consulting

Description
Company DescriptionVersion 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of  what we do:UK & Ireland's premier AWS, Microsoft & Oracle partner3300+ strong, €350/£300m revenue business10+ years as a Great Place to Work in Ireland & UKBest Workplace for Women in the UK & Ireland by GPTWBest Workplace for Wellbeing in the UK by GPTWWe’re a core values [link to values] driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you.Job Description Staff AI Infrastructure Engineer / AI Infrastructure Consultant •    Location: Mumbai, India, Hybrid(3 Days) •    Staff-level platform engineer for production AI systems •    Architects AI infrastructure across training, inference, and MLOps •    Deep Kubernetes, cloud, and CI/CD experience •    Owns reliability, security, and scalability of AI platforms •    Strong Go or Python skills with hands-on AI coding assistants •    8 to 12 plus years building and operating enterprise-grade platformsQualifications Strong Go or Python skills with hands-on AI coding assistants8 to 12 plus years building and operating enterprise-grade platformsAdditional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profitsStrong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programmeFlexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balanceFinancial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount schemeEmployee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policiesEducational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red HatReward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.And many more exciting benefits… drop us a note to find out more.Video links:https://www.youtube.com/watch?v=F_d3ELTH5zo Department: Digital, Data and Cloud

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Responsibilities
This role involves acting as a staff-level platform engineer for production AI systems, architecting AI infrastructure across training, inference, and MLOps processes. The engineer will be responsible for owning the reliability, security, and scalability of these AI platforms.
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