Cloud, AI and Data Services Developer

Overview

Assistant Vice President role in Data Platforms Product Engineering, focused on cloud-native AWS development, infrastructure as code, cloud database automation, data migration and AI-enabled automation.

What you'll do

• Design, develop and manage cloud-native solutions on AWS with a strong emphasis on scalability, security and automation.
• Provision and manage cloud infrastructure using Infrastructure as Code (Terraform and AWS CloudFormation).
• Implement advanced cloud database automation, including provisioning, configuration and lifecycle management (including Day-2 operational activities).
• Lead and execute data conversion and migration activities across hybrid and cloud environments.
• Integrate cloud services and databases with security frameworks, workflow engines and orchestration frameworks.
• Develop and maintain automated CI/CD pipelines in GitHub following DevOps best practices.
• Support development and operations of cloud platform infrastructure services (IaaS, PaaS, SaaS).
• Develop Lambda, Step Functions and IAM policies, and deploy them with IaC pipelines.
• Collaborate with cross-functional teams including application development, data engineering, security architecture and platform operations.
• Leverage GitHub Copilot and AI-assisted development tools to improve productivity, code quality, documentation and testing efficiency.
• Design and implement AI-enabled automation solutions, including Agentic AI frameworks, to enhance data engineering, reporting and operational processes.

What you'll need

• 5+ years of overall IT experience with strong hands-on background in code development and database management systems (DBMS).
• 3+ years of hands-on experience in one or more of: Python, AWS CLI (SDK), API development / integration, SQL and No-SQL, scripting technologies including JavaScript and Node.js, PySpark – AWS Glue jobs (DAGs), AI frameworks – GitHub Copilot, AI models, AWS Bedrock.
• Proven experience working with SQL-based data platforms, including AWS cloud-native databases (e.g., Amazon RDS, DynamoDB) and cloud-agnostic relational database platforms.
• Practical, hands-on experience using Infrastructure as Code (IaC) tools such as Terraform and/or AWS CloudFormation.
• Working knowledge of AWS Cloud Infrastructure Services, including compute, storage, networking, security and IAM.
• Exposure to serverless architecture and automation workflows, including event-driven and managed cloud services.
• 2+ years of experience building or working with Agentic AI solutions, Prompt Engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI governance principles.
• LLM fine-tuning, vector databases, MLOps basics, RAG and model serving for AI-focused FDE role.

Nice to have

• Experience supporting or building automated cloud provisioning and DevOps-driven deployments.
• 3+ years of experience with multiple AWS services (IaaS, PaaS, SaaS) models, including Lambda, Aurora, DynamoDB, EMR, Glue, DMS, QuickSight, Athena, Airflow, SQS/SNS.
• 3+ years of experience in infrastructure and database automation/programming with Terraform, CloudFormation, Ansible and Python.
• Experience with CI/CD and configuration management tools including Chef, CloudBees, Puppet, Jenkins, GitHub, Docker and Ansible.
• 3+ years of experience designing and developing automation scripts using Python, JavaScript, Angular, Ruby, Ansible etc.
• Hands-on experience with AWS cloud strategy initiatives: business case development, application assessment and migration planning.
• Working knowledge of AWS Security and Compliance.
• Exposure to data virtualization platforms such as Starburst.
• Experience with ETL tools including AWS Glue, DataSync and Apache Airflow.
• Experience with scripting and application frameworks such as PowerShell, Rust/React, Django, web services and REST API.
• Strong understanding of Scaled Agile (SAFe) methodology, team collaboration and transparent delivery practices.
• Ability to evaluate and configure new and existing technologies in the cloud platform.
• AWS Certification (Associate or Professional) is a strong plus.

Details

• Location: Bengaluru.
• Experience: 10-15 years.