Description

- Design, develop, and support enterprise content management, case management, and document capture solutions using IBM FileNet P8, IBM Case Manager, and IBM Datacap.

- Analyze business requirements and implement scalable solutions involving document capture, classification, indexing, workflow automation, and case processing.

- Configure and customize FileNet Case Manager, Content Navigator (ICN), Content Engine (CE), Process Engine (PE), and Datacap applications to meet business needs.

- Develop and maintain workflows, case types, business rules, Datacap applications, task profiles, rulesets, and custom components using Java, JavaScript, and APIs.

- Design and implement document ingestion solutions leveraging Datacap OCR, barcode recognition, document classification, validation, and data extraction capabilities.

- Integrate Datacap and FileNet solutions with enterprise applications, third-party systems, and downstream business processes through REST/SOAP services and APIs.

- Manage content repositories, object stores, metadata models, security configurations, document lifecycle management, and governance standards.

- Perform deployment, upgrades, migrations, troubleshooting, performance tuning, and production support activities across FileNet and Datacap environments.

- Prepare technical documentation, solution designs, test plans, and support SIT, UAT, deployment, and release management activities following Agile and SDLC practices.

- Collaborate with business stakeholders, architects, project teams, and support teams to deliver high-quality automation and document management solutions.

Enable Skills-Based Hiring

No

ECMS REQ IDAdditional Details

- ECMS REQ ID : K576572
- Project Location 1 : KRNK | BANGALORE
- Project Location 2 : TELANGANA | HYDERABAD
- Project Location 3 : TN | CHENNAI
- Project Location 4 : MAH | PUNE
- Delivery SPOC : Junaid Arif Shaikh [[email protected]]
- Relevant Experience : 5 + Years
- Mandatory skills : Solid experience with IBM FileNet P8,



IBM Case Manager (ICM), Content Platform Engine (CPE), Content Engine (CE), Process Engine (PE), and IBM Content Navigator (ICN).
- Hands-on experience with IBM Datacap, including document capture, OCR, data extraction, document classification, validation, recognition, and ruleset development.
- Experience designing and implementing end-to-end document capture-to-content repository solutions integrating Datacap with FileNet.
- StroJavaScript, REST APIs, SOAP Web Services, XML, JSON, and related integration technologieng proficiency in Java/J2EE, s.
- Experience with workflow development, case management, business process automation, event actions, and queue management.
- Hands-on experience with Datacap components such as Datacap Studio, Datacap Navigator, FastDoc, Application Manager, Fingerprint, and OCR engines.
- Knowledge of Oracle, SQL Server, or DB2 databases, including SQL development and performance optimization.
- Experience in FileNet security, metadata management, object stores, document lifecycle management, and records governance.
- Strong troubleshooting, migration, deployment, and production support experience in enterprise environments.
- Experience working in Agile/Scrum environments with strong analytical, communication, and problem-solving skills.
- Desired skills :
- Experience with IBM Business Automation Workflow (BAW), Cloud Pak for Business Automation (CP4BA), ODM, and IBM Automation Suite products.
- Knowledge of cloud platforms (Azure, AWS, IBM Cloud) and container technologies such as Docker, Kubernetes, and OpenShift.
- Familiarity with DevOps tools including Jenkins, Maven, SonarQube, Git, and CI/CD pipelines.
- Experience with Spring Boot, Microservices, Kafka, Elasticsearch, and enterprise integration architectures.
- Domain (Industry) : Any
- BGC (Before onboarding / After onboarding) : PostOB
- Total Experience (Ex. 5-7 Years) : 7 Years
- BGC Details : Any
- BGC Vendor : Any
- Mode of Interview : Video Interview
- WFO / WFH / Hybrid : Hybrid
- Please enter shift timings : As Per Client
- Shift Timings : General

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