Lead DevOps Engineer

Join our India Tech Hub – Be among the first hires!  Kobie, a 35-year veteran of the loyalty industry, a multi-year Forrester Leader, and USA Top Workplace is expanding its global footprint by establishing a Tech Hub in India. Kobie partners with global brands to build deep connections with their customers through personalized, data-driven loyalty experiences and has a mission of growing enterprise value through loyalty. The Tech Hub will serve as a Global Capabilities Center for a broad range of technology roles, and this is your chance to play a pivotal role in shaping our presence in India. Join us as we continue to lead in loyalty, delivering innovative customer experiences for some of the world’s most recognized brands while working alongside some of the best and brightest in loyalty.  About the team and what we will build together    We’re looking for a DevOps Engineer with 10+ years of experience who thrives on building reliable, secure and automated cloud platforms that power real business workflows. You have strong scripting skills (Python, Bash or Go), hands-on experience operating production environments (CI/CD, infrastructure-as-code, container orchestration, observability), and working knowledge of Terraform, Kubernetes and at least one major cloud (AWS, Azure or GCP). You are comfortable writing solid SQL when needed, automating with Git and CI tools like GitHub Actions or Jenkins, and shipping reliable infrastructure that other engineers love to use. Kobie runs some of the largest loyalty programs in the world. We are building an internal agent platform on Dataiku that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams an LLM-native way to work with complex loyalty logic. As a Lead DevOps Engineer on the India Tech Hub team, you will play a key role in forming the roadmap for Data and AI Teams and building/supporting that platform — provisioning infrastructure, owning CI/CD, hardening security, and ensuring our services and agents run reliably at scale. This is not a back-office role: you will design, ship, monitor and iterate on infrastructure used by real teams, working closely with our U.S. Engineering and AI & Innovation teams and cross-functional partners across Engineering, Data, QA and Product.