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    Job · 12573995

    BENGALURU · FULLTIME

    Operations Engineer

    Accenture logo

    Accenture

    Bengaluru · onsite · Posted 62d ago

    Sourced fromNaukri
    Undisclosed10–12 yrsfulltimeBengaluru

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    Section · 01

    About this role


    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 : IBM WebSphere Application Server Application Deployment, API Gateway, Middleware

    Good to have skills : NA
    Minimum 12 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 WAS, IBM IHS, Tomcat, Apache HTTP Server, SiteMinder, IBM MQ, Rabbit MQ, MuleSoft, Ansible etc.

    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

  1. 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
  2. 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
  3. Implement and operate MongoDB replica sets and sharded clusters for high-throughput, low-latency FSI workloads
  4. 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
  5. Engineer database performance - query optimisation, index strategy, execution plan analysis, wait event diagnosis, and capacity right-sizing across all platforms
  6. Implement and maintain database security controls - TDE, column-level encryption, RBAC, auditing, and data masking - aligned to PCI DSS and SOX requirements
  7. Drive database observability - metrics collection, slow query alerting, replication lag monitoring, and capacity trending across on-premises and cloud estates

    Middleware Integration Platform Engineering

  8. Engineer and operate IBM MQ and RabbitMQ messaging infrastructure - queue manager configuration, channel security, HA clustering, and dead-letter queue management
  9. Design and build IBM WAS, IBM IHS, Tomcat, Apache HTTP Server platforms - broker cluster operations, topic design, partition strategy, consumer group management, Schema Registry, and Kafka Connect pipelines
  10. Engineer CA SiteMinder Authentication platform and adapter configuration, process orchestration, HA deployment, and performance tuning - Design and operate enterprise API Gateway infrastructure - IBM WAS, IBM IHS, Tomcat, Apache HTTP Server - Istio or Linked - for microservices traffic management, mTLS enforcement, observability, and circuit breaking
  11. Build CI/CD and GitOps pipelines for middleware platform configuration, integration flow deployment, and schema lifecycle management
  12. 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
  13. Set platform engineering standards, reference patterns, and IaC module libraries for database and middleware platforms - codified and reusable across teams
  14. Conduct production readiness reviews and technical design assessments for data and integration workstreams
  15. Lead proof-of-concept engineering for emerging database and integration technologies
  16. delivering evidence-based build-vs-buy recommendations - Mentor senior and mid-level engineers in database internals, integration patterns, and production operations
  17. Drive continuous improvement - reducing toil through automation, improving platform reliability, and eliminating technical debt across the data and middleware estate
  18. 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
    CA SiteMinder: Authentication platform and adapter configuration, process orchestration, HA deployment, and performance tuning App/Web Services: Design, Installation, configure, monitor and troubleshooting of IBM WAS, Weblogic, JBoss, Tomcat, IBM IHS, Apache
    IBM MQ: MQ queue manager HA clustering, channel security, dead-letter handling adapter configuration, and performance tuning
    IaC Automation: Terraform / Ansible / Jenkins for database and middleware provisioning, Ansible for configuration management, and CI/CD pipelines for schema and integration deployment
    MuleSoft: Anypoint Platform - API design (RAML/OAS), DataWeave transformation, Mule runtime management, CloudHub deployment, and API-led connectivity
    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
  19. Experience with data streaming architectures - CDC (Debezium), event sourcing, and CQRS patterns across Kafka and cloud messaging services
  20. 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
  21. Background in database or integration platform consulting within financial services or regulated industries
    Mandatory Certifications
    Oracle DB Certified Professional (OCP)
    Microsoft SQL Server / Azure Data Certified
    MuleSoft Certified Developer or Architect
    IBM WAS / IBM MQ Certified
    AWS Database Specialty
    Terraform / Ansible Associate or Professional
  22. Database and middleware platforms are secure, observable, and reliably operated - meeting FSI SLA, RTO/RPO, and regulatory requirements consistently
  23. Infrastructure-as-code coverage is comprehensive - database and middleware environments are reproducible, drift-free, and deployable through automated pipelines
  24. Integration platform uptime and message delivery reliability are maintained above SLO targets - with end-to-end tracing that makes failure diagnosis fast and precise - Platform reliability improves measurably quarter-on-quarter - MTTR reduces, toil decreases, and engineering teams adopt reusable IaC modules and integration patterns
  25. 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

    Qualification 15 years full time education
  26. Sourced from naukri

    Section · 02

    Skills

    CdcAutomationAuditingApplication DeploymentCI/CD PipelinesAuroraAnypoint Platformcloud databaseawrApachebusiness continuityapi designamazon web servicesazure cosmos dbAWS RDSAPI GatewaysApache Http ServercloudMicrosoft AzureAnsible

    Section · Company

    About Accenture

    Accenture logo

    Accenture

    IT Services & Consulting

    350k+

    employees

    1989

    37 years old

    Dublin

    Ireland

    About

    Accenture plc is an Irish-American, professional services company based in Dublin, specializing in information technology services and consulting.

    Industries

    IT Services & ConsultingAnalytics & KPOSoftware ProductManagement Consulting

    Employee ratings

    73,428 reviews

    3.7/ 5

    Culture

    3.7

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    3.6

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