Own database reliability and performance optimization across OLTP and OLAP systems. Diagnose bottlenecks, latency, locks, deadlocks, execution plans, indexing, partitioning, memory, and I/O issues. Establish database observability, SLOs, and SLIs; lead high-availability and disaster-recovery initiatives. Preferred work includes database infrastructure as code, CI/CD deployment pipelines, schema migrations, and automation using Shell or Python.
Database Performance Optimization
Nice-To-Have:
Database DevOps & Infrastructure
- Analyze and resolve severe database bottlenecks, high latency, lock contention, blockings, and deadlocks across enterprise OLTP and OLAP systems.
- Deep-dive into SQL execution plans, index strategies, partitioning, memory allocation, and I/O tuning to maximize database throughput, Parameters Tuning
- Monitor dynamic performance views (pg_stat_statements, pg_stat_activity, V$, DBA_, AWR, ADDM, execution plans) to proactively identify slow queries and system-level resource constraints.
- Architect and implement table partitioning, indexing, materialization, and caching strategies.
- Analyze complex EXPLAIN (ANALYZE, BUFFERS) execution plans to optimize slow queries, rewrite inefficient SQL, and design optimal indexing strategies (B-Tree, GIN, GiST, BRIN).
- Set up comprehensive database observability metrics using native GCP/CloudWatch/Azure Monitor platforms.
- Establish SLOs/SLIs for database latency, query response times, and connection pooling.
- Lead high-availability (HA) and disaster recovery (DR) setup, testing, and continuous optimization.
Nice-To-Have:
Database DevOps & Infrastructure
- Implement Database Infrastructure as Code (IaC) using tools like Terraform , KCC etc.
- Build automated database deployment pipelines using Git CI/CD, Jenkins.
- Manage automated database schema changes and migrations using tools like Liquibase or Flyway.
- Experience: 8+ years of core database engineering experience, with at least 5+ years specializing in deep Database tuning
Database Mastery: Deep understanding of Database internal architecture. Willing to learn new DB technologies with Cloud first mindset
Execution Plan Diagnostics: Advanced ability to analyze execution plans, join order decisions, index usage, and system-level disk I/O bottlenecks.
Scripting: Automation proficiency in Shell or Python,
High Availability Tools: Direct experience setting up and troubleshooting.
CME Group: Where Futures are Made
CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more.
At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic.
Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here.
CME Group Bengaluru, Karnataka, IND Office
Bengaluru, India
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