Birlasoft

Business Analyst

• Serve as Product Owner for custom platforms, managing sustainability programmes and field trials for key clients
• Develop and champion project processes and procedures to bridge gaps between client and internal teams, ensuring business solution acceptability
• Facilitate prioritisation of annual roadmaps, aligning features with high-level business initiatives
• Elicit, document, and manage use cases and requirements for client approval; develop features and user stories for development teams
• Organise and facilitate daily scrum meetings, user story grooming, system demos, sprint, and release planning
• Lead Quality Assurance (QA) efforts to ensure the highest level of product accuracy and quality in production releases
• Process map current and future states to support strategic initiatives and identify process improvements
• Collaborate with cross-functional teams, including software architects and engineers, to propose and deliver system solutions
• Develop comprehensive project documentation, including business and functional requirements, user stories, test plans, and training materials
• Manage and build strong vendor relationships, including contract negotiations with software vendors
• Lead and mentor Business Analyst and Quality Assurance teams, including recruitment, coaching, and performance management
• Promote continuous improvement through retrospectives and implementation of action items
• Perform helpdesk and client support activities as required

Project Manager

• Lead end-to-end delivery of MuleSoft integration projects using Agile methodology.
• Develop project plans, schedules, and resource allocations.
• Manage day-to-day execution and ensure timely delivery of APIs and integrations.
• Coordinate integration testing, UAT, deployment, and go-live activities.
• Work closely with MuleSoft Architects and Technical Leads to ensure alignment with API-led architecture.
• Review design documents and technical deliverables for quality.
• Understand MuleSoft components to manage technical dependencies effectively.

MuleSoft Project Manager

Architect

• Design and implement MuleSoft integrations and API-led solutions.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Lead architecture discussions and provide technical guidance.
• Ensure best practices in API design and development.

MuleSoft Architect

AI Engineer

• Lead end-to-end development of GenAI/ML models: problem framing, data preparation, model selection, training, evaluation, and iteration.
• Architect and implement microservice-based AI solutions and deploy them in containerized environments (preferably GKE); define APIs and data contracts.
• Incorporate and operationalize defined ML pipelines with MLOps practices: model versioning, feature stores, experiment tracking, CI/CD for ML, monitoring, and rollback strategies.
• Leverage GCP offerings (Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE, etc.) to design scalable AI solutions and efficient data workflows.
• Deploy, monitor, and maintain models in production; implement observability (logs, metrics, tracing), cost optimization, and performance tuning.
• Ensure cloud security, data governance, and compliance in line with regulatory requirements; manage IAM roles, data access controls, and data lineage.
• Collaborate with cross-functional teams (data engineers, software engineers, product, regulatory/compliance, analytics) to translate business needs into robust ML solutions.
• Uphold SDLC standards: requirements gathering, design, development, testing, deployment, maintenance, and documentation; promote reusable patterns and best practices.
• Mentor and guide junior scientists; contribute to code reviews, standards, and knowledge sharing.
• Stay current with GenAI advancements and evaluate new tools/approaches; produce reproducible experiments and artifacts.

Lead Developer, Gen AI

Salesforce Developer

• Area(s) of responsibility
• Good experience of Salesforce development
• Good knowledge of Sales, Service and Experience clouds
• Strong development experience in Apex, Lightning Web Components (LWC), Aura, Batch Apex, Triggers, Integration.
• Good experience in out of the box configuration and administration – flows, validation rules, custom meta data, object model
• Good experience in community pages.
• Good Communication Skill.
• Good problem-solving skills and ability to give optimal solutions
• Basic understanding on VF pages - good to have

Salesforce Technical Lead – Enterprise Apps

Manager

• Overall responsibility for testing
• Provide career guidance, mentoring, and performance management for direct reports
• Coordinate with cross‑functional teams including Business, Development, and Program Management

JDE Test Manager

• Designing, developing, and deploying cutting-edge Agentic AI solutions
• Developing scalable, secure, and efficient Agentic AI applications

AI Developer

Product Designer

• Develop UX design and integrate with backend
• Provide templates and prototypes
• Pick the respective CSS code for HPE Branding perspective

Specialist UX Designer

Data Engineer

• Design, configure, and manage AWS DMS replication tasks for full-load and CDC
• Troubleshoot migration issues including latency, table mapping, LOB handling, and replication instance tuning
• Fine-tune DMS task parameters and validate data consistency post migration
• Automate monitoring and alerting DMS using CloudWatch, SNS, or Lambda
• Develop Python scripts for data validation and reconciliation, migration automation workflows, API integrations and utility tools
• Build ETL/ELT orchestration using Python frameworks or AWS services (Lambda, Glue, Step Functions)
• Write modular, scalable, production-ready code following best practices
• Develop and optimize complex PL/SQL procedures, functions, triggers, and packages
• Prepare technical documentation including design specs, runbooks, and migration plans
• Participate in code reviews and ensure adherence to engineering standards

Data Engineer – AWS

Full-stack Engineer

• Focus on SAP MDG responsibilities
• Manage Material Master related MDG components
• Work in Business Partner tower within MDG

Senior Technical Lead – SAP MDG

Engineer

• Manage and maintain Exchange Online and Exchange Server environments
• Configure and support mail routing infrastructure
• Monitor system health and troubleshoot issues
• Plan and execute migrations between On-Premises Exchange and Exchange Online

MS Exchange Engineer

• Technical Salesforce Developer with experience in complex software development, implementation, and support
• Works closely with business and partner IT teams to understand business data, requirements, and integrations to ensure stable operations, fix defects, and build new capabilities.

Technical Lead – Enterprise Apps

Insurance

• Collaborate with business stakeholders to gather, analyze, and document detailed requirements for insurance workflow applications.
• Understand end-to-end business processes within insurance domains (Policy Administration, Claims, Underwriting) and identify areas for workflow automation using Appian.
• Work closely with development teams to design and configure workflows in Appian that streamline insurance processes.
• Provide insights and recommendations to enhance process efficiency and user experience through Appian capabilities.
• Ensure workflows align with best practices for scalability and performance.
• Assist with the deployment and integration of Appian-based workflow solutions with existing insurance platforms.
• Support the integration of Appian workflows with Policy Administration Systems, Claims Management Systems, and other enterprise tools.

Technical Specialist – BA, Insurance, Appian

Data Scientist

• Understand and gather requirements by sitting with the business
• Listen to issues/problems in hand and formulate the desired solution

Associate Data Scientist

• Design and implement Snowflake pipelines
• Develop and manage Snowflake Tasks, Stored Procedures, UDFs, Tables, Snowpipe, Streams for data ingestion, transformation, and unloading
• Handle data flattening, filtering, and transformation within Snowflake
• Build and optimize ETL/ELT workflows using Azure Data Factory (ADF)
• Integrate and manage data in Azure Data Lake
• Develop and maintain Azure Function Apps for custom data processing