Postgresql DBA

Iris Software is a 35 year old IT Service organization which has been a trusted software engineering partner to several Fortune 500 companies for over three decades. At Iris Software, our vision is to be our clients most trusted technology partner, and the first choice for the industrys top professionals to realize their full potential.

We help clients realize the full potential of technology-enabled transformation by bringing together a unique blend of domain knowledge, best-of-breed technologies, and experience executing essential and critical application development engagements. Our highly-experienced talent and rightsized teams help develop core, complex, and mission-critical applications and solutions for leading enterprises across Capital Markets/Front office operations, Banking, Investment Management, Brokerage, Risk and Compliance, Insurance.

With over 4,300 associates across India, U.S.A, New York and Canada. We help our enterprise clients thrive with Our highly-experienced talent and rightsized teams help to develop core. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

https://www.linkedin.com/company/iris-software-inc./

About the Role:
Location- Gurugram
Mode- Hybrid (3 days /week)

Database - Lead

Mandatory Skills:

Performance Tuning & Scalability, PL/SQL (including PL/SQL Packages), PostgreSQL, PostgreSQL internals, backup/restore, Patroni clustering, HA/DR, pgBackRest, PostgreSQL upgrades/patching &Migration, Ansible automation, Bash/Linux, Cloud infrastructure, Monitoring and Alerting, performance tuning.

Additional Skills:

Ansible

Key Responsibilities

• Lead enterprise database engineering initiatives supporting scalable, reliable, and high-performance database solutions aligned with organizational objectives.
• Establish database engineering standards, governance frameworks, and development best practices across teams.
• Establish engineering standards for logical and physical data modeling, database schema design, normalization, denormalization, indexing strategies, and database optimization best practices.
• Lead the design of scalable database architectures supporting enterprise applications and data platforms.
• Define enterprise standards for PL/SQL development, database programming, and data access optimization.
• Establish relational database architecture standards across Oracle, PostgreSQL, MySQL, and MS SQL Server environments.
• Define architecture and governance standards for non-relational database platforms including MongoDB, Cassandra, Redis, DynamoDB, HBase, and CouchDB.
• Drive enterprise performance optimization and scalability initiatives across database platforms and application ecosystems.
• Establish database performance tuning, indexing, capacity planning, and optimization standards.
• Define engineering practices for production database support, incident management, root cause analysis, operational reliability, and continuous performance improvement.
• Lead architecture reviews and ensure database solutions meet scalability, reliability, maintainability, and performance objectives.
• Guide teams on database architecture, data persistence strategies, performance engineering, and scalability best practices.
• Establish standards for database deployment automation, schema version control, and CI/CD practices to improve release reliability and deployment consistency.
• Identify database risks, performance bottlenecks, and architectural gaps while defining mitigation strategies.
• Collaborate with various teams and leadership stakeholders to align database initiatives with organizational objectives.
• Drive continuous improvement initiatives focused on database maturity, performance optimization, scalability, reliability, and delivery excellence.

Behavioral Competencies

• Demonstrate leadership and accountability in driving database engineering excellence across programs and initiatives.
• Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
• Promotes a culture of quality, optimization, innovation, and continuous improvement.
• Applies strategic thinking to address database challenges, scalability risks, and business priorities.
• Demonstrates strong decision-making while balancing performance, scalability, reliability, and delivery objectives.
• Communicates effectively regarding database strategy, risks, dependencies, and operational outcomes.
• Maintains a proactive approach toward engineering governance, database standards, and solution excellence.
• Drives engineering excellence by promoting database reliability, operational resilience, governance, and continuous modernization.
• Encourages innovation and continuous learning within database engineering and data management practices.
• Drives collaboration and alignment across teams to achieve organizational objectives.
• Demonstrates a customer-centric mindset by delivering reliable, scalable, and high-quality database solutions.

If Intersted, kindly share your resume on [email protected]

Notice Period- Max 15 Days.