Aurora PostgreSQL Automation Engineer

Kivitronicsconsulting; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Kivitronicsconsulting is seeking a Database Engineer in Chennai, India to design, implement, and automate cloud database environments using Aurora PostgreSQL. The role focuses on secure, resilient, and scalable database platforms, with emphasis on automation and continuous improvement across the database life cycle.

The candidate will manage large-scale Aurora deployments on AWS, implement recovery strategies, and collaborate with cross-functional teams to optimize performance.

Qualifications

• 4+ years managing large scale Aurora database environments.
• Strong SQL performance tuning and query optimization.
• Experience with Terraform, Ansible and Jenkins automation.
• Unix/Linux/Windows OS knowledge.
• Shell and Python scripting for automation.
• Experience with backup and recovery strategies.
• Ability to work independently on complex environments.
• Risk awareness and incident handling capabilities.

Responsibilities

• Support and manage Aurora PostgreSQL database environments on AWS.
• Automate build and support tasks across database technologies.
• Adhere to best practices for incident, problem and change management.
• Lead projects independently with minimal guidance.
• Install, configure, upgrade, and maintain database instances on AWS.
• Implement security policies and backup/recovery strategies.
• Perform performance analysis and capacity planning.
• Collaborate with AWS, application support, and infrastructure teams.

Skills

SQL performance tuning

Automation

Shell scripting

Python scripting

AWS cloud

Tools

Terraform

Ansible

Jenkins

Job description

• Database Engineer is an Aurora PostgreSQL Database and Automation engineer and is responsible for supporting all aspects of the design, build, and support of the cloud database environments through automation. The Database Engineer is responsible for ensuring that the environments are performing optimally and align to best practices for security and resiliency.
• Database Engineering team designs and builds secure, resilient, recoverable, and reusable frameworks to support the entire database life cycle. The team focuses on continuous service improvements to increase the quality of service and speed of delivery.
• The Database Engineer is an Aurora PostgreSQL Database and Automation engineer and is responsible for supporting all aspects of the design, build, and support of the cloud database environments through automation. The Database Engineer is responsible for ensuring that the environments are performing optimally and align to best practices for security and resiliency.
• Support and manage the Aurora PostgreSQL database environments
• Automate the build and support tasks across database technologies (i.e. Oracle, MS SQL, and PostgreSQL)
• Adhere to best practices on Incident, Problem and Change management
• Lead projects independently with minimal guidance
• Responsible for managing and supporting Aurora PostgreSQL database platforms working closely with AWS, application support teams, and infrastructure teams
• Install, configure, upgrade, and maintain database instances on AWS
• Recommend and implement database security policies
• Recommend and implement database backup, recovery, and redundancy strategies
• Implement automated procedures to proactively handle issues and alerts
• Perform database performance analysis, capacity planning, system sizing and ongoing maintenance
• Aligns risk and control processes into day-to-day responsibilities to monitor and mitigate risk and escalates appropriately
• Demonstrates reliability by taking necessary actions to continuously meet required deadlines and goals.
• Applies global perspective when working within a team by being aware of working styles and ensuring all relevant parties are involved in key team tasks and decisions
• Articulates information clearly and presents information effectively and confidently
• Thinks boldly and out of the box, generates new ideas and processes, and confidently pursues challenges as new avenues of opportunity.

Strong knowledge on AWS cloud technologies; AWS certification would be a plus

Requirements

• 4+ year experience managing large scale Aurora database environments
• Strong performance Tuning and Optimization skills including re-writing SQLs for optimal performance.
• Extensive experience with Automation using Terraform, Ansible, Jenkins
• Strong knowledge of operating systems (Unix / Linux / Windows)
• Hands on experience with Shell and Python scripting to automate tasks enabling self-healing capabilities
• Strong experience with partitioning and handling large databases
• Understand interlaying technologies like OS, Networking, Applications, and its impact to databases
• Manage tasks and projects independently with minimum guidance and directions
• Ability to independently research, design, document and implement new database related services
• Solid experience in backup and recovery processes
• Ability to work in a complex environment to determine business and customer needs and provide the best solution needed