Sr. Engineer - Infrastructure

Overview

Design, implement and manage cloud-native relational and NoSQL database solutions on AWS and Google Cloud, working with application and cloud engineering teams on scalable, secure, high-performing database architectures.

What you'll do

• Design and implement cloud-based database architectures that meet application requirements and organizational goals.
• Collaborate with application teams to architect scalable, secure, and high-performing cloud database solutions aligned with enterprise standards.
• Partner with Cloud Engineering and Site Reliability Engineers to integrate database CI/CD pipelines into application deployments, including Jenkins and Ansible.
• Design and build automation for database provisioning and repetitive tasks using infrastructure as code tools, including AWS CloudFormation and Terraform.
• Develop and maintain disaster recovery and high availability strategies and provide DR testing support.
• Ensure compliance with data governance, security, regulatory and privacy standards, and prepare evidence to support internal and external auditors.
• Prepare deployment and operational procedure manuals.
• Provide second-level support for troubleshooting production incidents.
• Automate monitoring and alerting of database performance and availability.
• Support the operational team on routine database maintenance, including backups, patching, performance tuning, and capacity planning.
• Master the latest database features and apply them to provide measurable value to application teams.
• Perform end-to-end execution from roadmap to implementation of database consolidations, migrations, and conversions.
• Reduce complexity and cost in database environments through analysis, simplification, and automation using Ansible, Python, Terraform or other tools.
• Evaluate new product releases and recommend implementation of newest versions.
• Assist application and DBA teams with migrating databases from on-premises systems to the Cloud.
• Maintain documentation of standard operating policies and procedures.

What you'll need

• 3 to 5 years of professional experience managing relational and NoSQL databases in a cloud environment (AWS and GCP).
• Experience with Infrastructure as Code tools such as Terraform and CloudFormation.
• Proficiency with GitHub (version control, pull requests, and code reviews).
• Familiarity with Jenkins pipelines, Ansible automation, and ServiceNow.
• Solid understanding of networking concepts, VPCs, subnets, and security groups as they relate to database deployments.
• Strong organizational and communication skills with the ability to manage multiple priorities.
• Ability to learn fast on the job by partnering with senior resources.
• A passion for engineering excellence and continuous improvement.
• Effective communication and collaboration skills across cross-functional teams; strong critical thinking and problem-solving skills.
• Use AI tools as a productivity accelerator for development, automation, analysis, refactoring, troubleshooting and documentation, while retaining full ownership of technical decisions and outcomes.
• Critically evaluate and validate AI-generated output using domain expertise, system knowledge and production feedback, and recognize when suggestions are incorrect, incomplete or unsafe.
• Apply AI responsibly within enterprise security, governance and compliance boundaries, including data privacy, access controls, logging, auditability and regulatory requirements.
• Leverage AI to improve operational effectiveness (e.g., analyzing logs, metrics, incidents and configuration drift) to accelerate root cause analysis, remediation and prevention.
• Clearly explain what AI contributed, what was changed, and why, demonstrating understanding rather than reliance.
• Experience operationalizing AI-enabled services and models using MLOps-aligned practices, including versioning, CI/CD integration, monitoring and lifecycle management.
• Familiarity with common model deployment patterns (batch processing, real-time APIs and event-driven architectures) on cloud platforms.
• Experience integrating AI capabilities into enterprise systems using REST APIs, messaging systems or event-based architectures, with a focus on reliability and operability.
• Bachelor's degree in computer science or a related discipline.

Nice to have

• Hands-on experience designing and building infrastructure deployments using Terraform and CloudFormation.
• Strong documentation skills in creating and maintaining operational policies and procedures.
• A desire for continuous learning.

Details

• Location: India GCC, Puppalaguda Village.