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Accenture

Advises businesses and runs their technology

Operations Engineer

Database AdministrationConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 7.5 years of experience is required.
  • 15 years of full-time education is required.
  • Oracle Database Administration (DBA) is required.
  • Oracle engineering experience with RAC, Data Guard, ASM, RMAN, performance tuning, AWR/ASH analysis, schema design, and enterprise-scale high availability/disaster recovery implementation.
  • SQL Server engineering experience with AlwaysOn AG, SSAS, SSIS, SSRS, query tuning, execution plans, index optimization, and high availability configuration for financial services workloads.
  • PostgreSQL experience with streaming and logical replication, partitioning, VACUUM tuning, pg_stat analysis, and TimescaleDB, PostGIS, or Citus extensions.
  • MongoDB experience operating replica sets and sharded clusters, optimizing aggregation pipelines and indexes, Atlas operations, and change stream engineering.
  • Cloud database service experience with AWS RDS/Aurora, GCP Cloud SQL/Spanner, and Azure Cosmos DB, including provisioning, high availability, replication, and cost optimization.
  • CA SiteMinder experience with authentication platform and adapter configuration, process orchestration, high availability deployment, and performance tuning.
  • Application and web services experience designing, installing, configuring, monitoring, and troubleshooting IBM WAS, WebLogic, JBoss, Tomcat, IBM IHS, and Apache.
  • IBM MQ experience with queue manager high availability clustering, channel security, dead-letter handling, adapter configuration, and performance tuning.
  • Infrastructure-as-code and automation experience with Terraform, Ansible, Jenkins, configuration management, and continuous integration and delivery pipelines for schema and integration deployment.
  • MuleSoft Anypoint Platform experience with API design using RAML/OAS, DataWeave transformation, Mule runtime management, CloudHub deployment, and API-led connectivity.
  • Database and middleware observability experience using Prometheus/Grafana, Datadog, or ELK, including slow query analysis, message lag alerting, and distributed tracing.
  • Financial services compliance knowledge covering PCI DSS, SOX, DORA, database encryption, audit logging, data residency, data masking, and regulatory evidence production.
  • Oracle DB Certified Professional (OCP) certification is mandatory.
  • Microsoft SQL Server or Azure Data certification is mandatory.
  • MuleSoft Certified Developer or Architect certification is mandatory.
  • IBM WAS or IBM MQ certification is mandatory.
  • AWS Database Specialty certification is mandatory.
  • Terraform or Ansible Associate or Professional certification is mandatory.

Responsibilities

  • Support operations and/or manage delivery for production systems and services according to operational requirements and service agreements.
  • Design, build, and operate enterprise relational database platforms—including Oracle, SQL Server, and PostgreSQL—across on-premises and cloud environments.
  • Engineer and maintain cloud-native database services, including AWS RDS/Aurora, GCP Cloud SQL/Spanner, and Azure Cosmos DB, with provisioning, high availability configuration, replication, and automated failover.
  • Implement and operate MongoDB replica sets and sharded clusters for high-throughput, low-latency financial services workloads.
  • Build and maintain database automation for infrastructure-as-code provisioning, schema migration pipelines, backup/restore validation, and patching.
  • Design and implement database high availability, disaster recovery, and business continuity architectures that meet recovery time and recovery point commitments for Tier 1 financial services workloads.
  • Engineer database performance through query optimization, index strategy, execution plan analysis, wait event diagnosis, and capacity right-sizing across platforms.
  • Implement and maintain database security controls—including transparent data encryption, column-level encryption, role-based access control, auditing, and data masking—in alignment with PCI DSS and SOX requirements.
  • Drive database observability through metrics collection, slow query alerting, replication lag monitoring, and capacity trending across on-premises and cloud estates.
  • Engineer and operate IBM MQ and RabbitMQ messaging infrastructure, including queue manager configuration, channel security, high availability clustering, and dead-letter queue management.
  • Design and build IBM WAS, IBM IHS, Tomcat, and Apache HTTP Server platforms; support broker cluster operations, topic design, partition strategy, consumer group management, Schema Registry, and Kafka Connect pipelines.
  • Engineer the CA SiteMinder authentication platform and adapter configuration, process orchestration, high availability deployment, and performance tuning.
  • Design and operate enterprise API Gateway infrastructure involving IBM WAS, IBM IHS, Tomcat, Apache HTTP Server, and Istio or Linked for microservices traffic management, mutual TLS enforcement, observability, and circuit breaking.
  • Build continuous integration/continuous delivery and GitOps pipelines for middleware platform configuration, integration flow deployment, and schema lifecycle management.
  • Drive integration platform observability through distributed tracing, message throughput dashboards, error rate alerting, and end-to-end latency analysis across the integration stack.
  • Set platform engineering standards, reference patterns, and reusable infrastructure-as-code module libraries for database and middleware platforms.
  • Conduct production readiness reviews and technical design assessments for data and integration workstreams.
  • Lead proof-of-concept engineering for emerging database and integration technologies and deliver evidence-based build-versus-buy recommendations.
  • Mentor senior and mid-level engineers in database internals, integration patterns, and production operations.
  • Drive continuous improvement by reducing toil through automation, improving platform reliability, and eliminating technical debt across the data and middleware estate.
  • Support audit, regulatory, and risk management activities by producing platform configuration evidence, data lineage documentation, and compliance reports.
  • Ensure database and middleware platforms are secure, observable, and reliably operated while meeting financial services service-level agreements, recovery commitments, and regulatory requirements.
  • Maintain comprehensive infrastructure-as-code coverage so database and middleware environments are reproducible, drift-free, and deployable through automated pipelines.
  • Maintain integration platform uptime and message delivery reliability above service-level objectives, with end-to-end tracing to support fast, precise failure diagnosis.
  • Improve platform reliability quarter-on-quarter, reduce mean time to recovery and toil, and encourage engineering teams to adopt reusable infrastructure-as-code modules and integration patterns.
  • Serve as the authoritative hands-on expert for cross-functional application, cloud, security, and data teams, resolving complex problems and unblocking delivery.

Desired Qualifications

  • Experience with data streaming architectures, including change data capture with 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.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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