Forward Deployed Engineer

Project Role : Forward Deployed Engineer

Project Role Description : Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms.

Must have skills : Oracle Database Administration (DBA)

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

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 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

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

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

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

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

Additional Information:

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

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 precise 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