Senior Lead Data Application - Software Engineer

You will join a newly forming India GCC team with direct impact on modernising our data landscape. The role offers real ownership across data transformation delivery and migration from legacy services to a modern stack (e. g., dbt, Databricks, MongoDB), while ensuring stable operations for critical platforms. You will collaborate closely with Europe through shared agile ceremonies in a multidisciplinary environment with strong exposure to diverse technologies. We encourage AI-enabled engineering practices using tools like Copilot, Claude Code, or ChatGPT responsibly to improve speed, quality, and documentationwhile building standards and best practices from the ground up.

We are seeking a Data Application Services / Platform Engineer to support and evolve data-related applications and infrastructure, ensuring stable operations while enabling modernisation. The role combines application/platform support (L2/L3), automation, infrastructure as code for deployments, and migration support toward a modern data stack. Strong Python and Terraform skills, and experience using AI tools for operational efficiency, are expected.

Responsibilities:

• Provide L2/L3 support for data applications and platforms, handling incidents, problems, and changes.
• Perform platform monitoring (health checks, alerting, dashboards) and drive stability improvements through proactive detection and remediation.
• Maintain and improve reliability through monitoring standards, runbooks, and operational best practices.
• Automate repetitive operational tasks using Python and scripting to improve efficiency and reduce risk.
• Use Terraform (IaC) to deploy and manage cloud infrastructure and platform components in a repeatable, controlled way.
• Support migrations from legacy services to modern solutions, coordinating closely with engineers and stakeholders.
• Contribute to CI/CD and deployment processes where relevant (e. g., Azure DevOps).
• Participate in shared agile ceremonies with Europe teams, providing transparency and delivery updates.
• Use AI tools (Copilot/Claude Code/ChatGPT) to accelerate troubleshooting, root cause analysis support, and documentation responsibly and securely.

Requirements:

• Strong Python (automation/scripting) and solid troubleshooting skills.
• Hands-on Terraform experience for infrastructure provisioning and deployments.
• Experience with platform monitoring/observability (alerts, dashboards, incident response) and an operations mindset.
• Experience with application/platform operations (incident/problem/change; ITIL mindset).
• Cloud exposure (Azure and/or AWS) and basic DevOps/CI/CD understanding.
• Strong communication and documentation skills (runbooks, procedures, known errors).
• Practical experience using AI assistants with concrete examples.