A

Accenture

Advises businesses and runs their technology

Forward Deployed Engineer

Full-Time
No salary listed
Expert
Bengaluru, Karnataka, India
In Person
DevOps & InfrastructureDatabase Administration

About the job

Requirements
  • At least 12 years of experience is required.
  • 15 years of full-time education is required.
  • Experience with IBM WebSphere Application Server application deployment is required.
  • Oracle engineering experience, including RAC, Data Guard, ASM, RMAN performance tuning, AWR/ASH analysis, schema design, and enterprise-scale high-availability and disaster-recovery implementation.
  • SQL Server engineering experience, including AlwaysOn AG, SSAS, SSIS, SSRS query tuning, execution plans, index optimization, and high-availability configuration for financial services workloads.
  • PostgreSQL experience, including streaming and logical replication, partitioning, VACUUM tuning, pg_stat analysis, and extensions such as TimescaleDB, PostGIS, and Citus.
  • MongoDB experience, including replica set and sharded cluster operations, aggregation pipeline optimization, index strategy, Atlas operations, and change stream engineering.
  • Cloud database services experience with AWS RDS/Aurora (MySQL, PostgreSQL, Oracle), GCP Cloud SQL/Spanner, and Azure Cosmos DB 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, and Jenkins for database and middleware provisioning; Ansible configuration management; and CI/CD pipelines for schema and integration deployment.
  • MuleSoft experience with Anypoint Platform API design (RAML/OAS), DataWeave transformation, Mule runtime management, CloudHub deployment, and API-led connectivity.
  • Observability experience with database and middleware monitoring using Prometheus/Grafana, Datadog, and ELK; slow query analysis, message lag alerting, and distributed tracing.
  • Financial services compliance knowledge, including PCI DSS, SOX, DORA, database encryption (TDE and column-level 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
  • Organize deployment of AI workflows and architectures across diverse AI and technology platforms.
  • Facilitate solution design across the enterprise technology stack to integrate AI models and multi-provider platforms into the ecosystem.
  • Design, build, and operate enterprise relational database platforms including 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 including AWS RDS/Aurora, GCP Cloud SQL/Spanner, and Azure Cosmos DB, including 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, including infrastructure-as-code provisioning with Terraform, schema migration pipelines, backup and restore validation, and patching automation.
  • Design and implement database high-availability, disaster-recovery, and business-continuity architectures that meet RTO/RPO 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 TDE, column-level encryption, role-based access control, auditing, and data masking aligned 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 using IBM WAS, IBM IHS, Tomcat, Apache HTTP Server, and Istio or Linkerd for microservices traffic management, mutual TLS 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 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 to meet financial services SLAs, RTO/RPO, 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 SLO targets, with end-to-end tracing that enables fast and precise failure diagnosis.
  • Improve platform reliability quarter over quarter, reduce MTTR and toil, and drive engineering-team adoption of reusable infrastructure-as-code modules and integration patterns.
Desired Qualifications
  • Experience with data-streaming architectures, including 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.

About the company

A

Accenture

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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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Simplify's Take

What believers are saying

  • Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
  • Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
  • Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.

What critics are saying

  • Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
  • Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
  • Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.

What makes Accenture unique

  • Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
  • Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
  • Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.

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Benefits

  • Health Insurance
  • Professional Development Budget
  • 401(k) Retirement Plan
  • 401(k) Company Match

Company News

Yahoo Finance
Oct 16th, 2026
Accenture caps staff AI spending at $29 a month after $1,000 bills

Accenture has capped employee AI spending at $29 (£21.75) a month after some staff ran up bills of $1,000, according to a report by 404 Media. The consulting firm wants to curb runaway costs as employees use AI for more everyday tasks. Companies are typically billed by usage, like a utility. Last week, some staff were told their access to Anthropic's Claude had been pulled entirely. Others are also reining in costs. Uber capped engineers' Claude spending at $1,500 a month after using up its AI budget in four months, while Microsoft has reportedly cut its Claude spending by about a third. The curbs come as Anthropic prepares for a public listing, targeting a valuation as high as $2tn. Investors are reportedly considering about $1.5tn.

Yahoo Finance
Oct 16th, 2026
Accenture's AI push: analysts see earnings reaching $10.3B by 2029 on 5.2% yearly revenue growth

Accenture is shifting AI work from pilots to deeply embedded systems, according to recent deals with UMass Memorial Health, Dell, Microsoft and Workday. The UMass Memorial project is a multi-year AI data platform, while the Dell alliance pitches private AI infrastructure to regulated clients. Analysts expect revenue to grow 5.2% a year over the next three years, with profit margins rising from 11.3% to 11.9%. They forecast earnings of $10.3 billion by 2029, up from $8.4 billion today, on revenue of $86.3 billion. The stock trades at a price-to-earnings ratio of 14.2x, against 21.9x for US IT peers. Risks include slower decision cycles in federal and EMEA work, which could curb consulting demand and margins.

Yahoo Finance
Oct 14th, 2026
Accenture plans $9.5B shareholder returns and $5B acquisitions as it bets on AI reinvention

Accenture (NYSE: ACN) is betting on enterprise AI as its main growth engine. At its Investor and Analyst Day, the company targeted at least mid-single-digit constant-currency revenue growth in fiscal 2027 and 2028, rising to mid- to high-single-digit growth from fiscal 2029. Chief executive officer Julie Sweet said AI will create new demand that exceeds work lost to automation. The company has grown its AI and data workforce from 40,000 to nearly 110,000. Accenture plans to return $9.5 billion to shareholders in fiscal 2027 and spend about $5 billion on acquisitions. It expects annual operating-margin growth of 10 to 30 basis points. Its network of specialised businesses, now 6% of revenue, could double by fiscal 2029. Fiscal 2026 revenue was $74.2 billion, up 5% in local currency.

Yahoo Finance
Oct 14th, 2026
Accenture shares up 10.4% as dividend rises to $1.71 and AI alliances with Dell and Workday expand

Accenture shares rose 10.4% after the company reported higher sales and earnings for its fourth quarter and full year in early October 2026. It confirmed fiscal 2027 guidance, raised its quarterly dividend to $1.71 per share, and completed a long-running share repurchase program. The company also expanded its AI alliances with Dell and Workday and acquired Sagacity. It aims to embed agentic AI into client functions such as HR, finance, and customer engagement. Accenture's narrative projects $86.3 billion in revenue and $10.3 billion in earnings by 2029, up from $8.4 billion today. Pricing pressure and slower discretionary spending remain the main risks.

Yahoo Finance
Oct 13th, 2026
Accenture shares up 77% from June low as Oct. 14 Investor Day nears

Accenture will hold an Investor Day on October 14, where it is expected to detail its long-term strategy, AI monetisation plans, growth guidance, and margin expansion goals. The event follows a rebound in its shares after fears that AI would erode traditional consulting work. The stock hit a low of $118.15 in June, down from a January high of $291.09. It has since gained nearly 77%, helped by fourth-quarter results on October 1 and an expanded collaboration with Dell Technologies. Fourth-quarter revenue rose 6% to $18.7 billion, and new bookings reached $22.2 billion. Accenture expects fiscal 2027 revenue growth of 3% to 6% in local currency. It raised its quarterly dividend by 5% to $1.71 per share, payable November 13, 2026. Its market capitalisation is about $139.6 billion.