Project Role : Operations Engineer

Project Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement.

Must have skills : Oracle Database Administration (DBA)

Good to have skills : NA
Minimum 7.5 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:
A Principal Engineer - Database Middleware leads the hands-on design, build, and operation of enterprise data and integration platforms across relational databases (Oracle, SQL Server, PostgreSQL), NoSQL stores (MongoDB), cloud-native database services (AWS RDS/Aurora, GCP Cloud SQL, Azure Cosmos DB), and the full middleware stack - IBM MQ, Kafka, API Gateway, Tibco, MuleSoft, and service mesh.

At, this individual operates as a recognized domain authority - engineering production-grade data and integration platforms, driving automation and observability, and owning reliability outcomes end to end. In a financial services context, every platform decision must satisfy PCI DSS, SOX, DORA, and data residency requirements while meeting the availability and latency demands of mission-critical business services.

Roles Responsibilities:
Database Platform Engineering
- Design, build, and operate enterprise relational database platforms - Oracle (RAC, Data Guard, ASM), SQL Server (AlwaysOn, SSAS, SSIS), and PostgreSQL - across on-premises and cloud environments
- Engineer and maintain cloud-native database services - AWS RDS/Aurora, GCP Cloud SQL/Spanner, and Azure Cosmos DB - including provisioning, HA configuration, replication, and automated failover
- Implement and operate MongoDB replica sets and sharded clusters for high-throughput, low-latency FSI workloads
- Build and maintain database automation - IaC provisioning (Terraform), schema migration pipelines, backup/restore validation, and patching automation
- Design and implement database high availability, disaster recovery, and business continuity architectures - meeting RTO/RPO commitments for Tier 1 FSI workloads
- Engineer database performance - query optimisation, index strategy, execution plan analysis, wait event diagnosis, and capacity right-sizing across all platforms
- Implement and maintain database security controls - TDE, column-level encryption, RBAC, auditing, and data masking - aligned to PCI DSS and SOX requirements
- Drive database observability - metrics collection, slow query alerting, replication lag monitoring, and capacity trending across on-premises and cloud estates
Middleware Integration Platform Engineering
- Engineer and operate IBM MQ and RabbitMQ messaging infrastructure - queue manager configuration, channel security, HA clustering, and dead-letter queue management
- Design and build Apache Kafka platforms - broker cluster operations, topic design, partition strategy,



consumer group management, Schema Registry, and Kafka Connect pipelines
- Engineer CA Siteminder Authentication platform and adapter configuration, process orchestration, HA deployment, and performance tuning
- Design and operate enterprise API Gateway infrastructure - Kong, AWS API Gateway, or Apigee - including rate limiting, authentication, TLS termination, and API versioning
- Implement and operate service mesh platforms - Istio or Linkerd - for microservices traffic management, mTLS enforcement, observability, and circuit breaking
- Build CI/CD and GitOps pipelines for middleware platform configuration, integration flow deployment, and schema lifecycle management
- Drive integration platform observability - distributed tracing, message throughput dashboards, error rate alerting, and end-to-end latency analysis across the integration stack
Technical Leadership Engineering Excellence
- Set platform engineering standards, reference patterns, and IaC module libraries for database and middleware platforms - codified and reusable across teams
- Conduct production readiness reviews and technical design assessments for data and integration workstreams
- Lead proof-of-concept engineering for emerging database and integration technologies - delivering evidence-based build-vs-buy recommendations
- Mentor senior and mid-level engineers in database internals, integration patterns, and production operations
- Drive continuous improvement - reducing toil through automation, improving platform reliability, and eliminating technical debt across the data and middleware estate
- Support audit, regulatory, and risk management activities - producing platform configuration evidence, data lineage documentation, and compliance reports

Professional Technical Skills:
Must-Have Technical Skills
Oracle Engineering: RAC, Data Guard, ASM, RMAN - performance tuning, AWR/ASH analysis, schema design, and HA/DR implementation at enterprise scale
SQL Server Engineering: AlwaysOn AG, SSAS, SSIS, SSRS - query tuning, execution plans, index optimisation, and HA configuration for FSI workloads
PostgreSQL: Streaming replication, logical replication, partitioning, VACUUM tuning, pg stat analysis, and extensions (TimescaleDB, PostGIS, Citus)
MongoDB: Replica set and sharded cluster operations, aggregation pipeline optimisation, index strategy, Atlas operations, and change stream engineering
Cloud DB Services: AWS RDS/Aurora (MySQL, PostgreSQL, Oracle), GCP Cloud SQL/Spanner, Azure Cosmos DB - provisioning, HA,



replication, and cost optimisation
Kafka: Broker operations, topic/partition design, consumer group management, Kafka Connect, Schema Registry, MirrorMaker 2, and exactly-once semantics
MuleSoft: Anypoint Platform - API design (RAML/OAS), DataWeave transformation, Mule runtime management, CloudHub deployment, and API-led connectivity
IBM MQ / Tibco: MQ queue manager HA clustering, channel security, dead-letter handling Tibco BW/EMS process design, adapter configuration, and performance tuning
API Gateway Service Mesh: Kong/Apigee policy design, rate limiting, OAuth2/mTLS enforcement Istio traffic management, circuit breaking, and observability
IaC Automation: Terraform for database and middleware provisioning, Ansible for configuration management, and CI/CD pipelines for schema and integration deployment
Observability: Database and middleware monitoring - Prometheus/Grafana, Datadog, ELK - slow query analysis, message lag alerting, and distributed tracing
FSI Compliance: PCI DSS, SOX, DORA - database encryption (TDE, column-level), audit logging, data residency, masking, and regulatory evidence production
Preferred / Advantageous
- Experience with data streaming architectures - CDC (Debezium), event sourcing, and CQRS patterns across Kafka and cloud messaging services
- Familiarity with GraphQL or AsyncAPI for API and event schema governance in integration platforms
- Exposure to FinOps practices for cloud database estate cost management across AWS, GCP, and Azure
- Background in database or integration platform consulting within financial services or regulated industries
- Database and middleware platforms are secure, observable, and reliably operated - meeting FSI SLA, RTO/RPO, and regulatory requirements consistently
- Infrastructure-as-code coverage is comprehensive - database and middleware environments are reproducible, drift-free, and deployable through automated pipelines
- Integration platform uptime and message delivery reliability are maintained above SLO targets - with end-to-end tracing that makes failure diagnosis fast and exact
- Platform reliability improves measurably quarter-on-quarter - MTTR reduces, toil decreases, and engineering teams adopt reusable IaC modules and integration patterns
- Cross-functional teams - application, cloud, security, and data - regard the Principal Engineer as the authoritative, hands-on expert who solves hard problems and unblocks delivery- The candidate should have minimum 12 years of experience in Oracle Database Administration (DBA).

- Mandatory Certifications
Oracle DB Certified Professional (OCP)
Microsoft SQL Server / Azure Data Certified
MuleSoft Certified Developer or Architect
Apache Kafka (Confluent) Certified AWS Database Specialty Terraform Associate or Professional

Qualification 15 years full time education

📌 Operations Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru