Test Yantra

Full-stack Engineer

• Lead the configuration of insurance products, rating algorithms, underwriting rules, referral rules, eligibility rules, authority checks, and workflow logic within Rulebook.
• Convert Excel-based pricing models into Rulebook-compatible configuration components, ensuring calculation accuracy and business alignment.
• Configure rating tables, factors, modifiers, risk attributes, premium calculations, validations, and business rules.
• Configure and maintain Rulebook pages, page flows, page linking, product structures, and user journeys.
• Support document generation logic, quote outputs, pricing worksheets, and downstream data outputs where applicable.
• Ensure reusable configuration patterns are applied across products/classes to improve maintainability and consistency.
• Work with underwriters, actuaries, operations SMEs, and product owners to understand pricing intent, risk appetite, referral logic, and underwriting guidelines.
• Challenge and clarify ambiguous business rules before configuration.
• Translate business requirements into clear configuration specifications and implementation-ready artefacts.
• Identify gaps, inconsistencies, or risks in pricing spreadsheets, underwriting guides, or product documentation.
• Support impact analysis for pricing changes, product enhancements, and model version updates.
• Act as a primary configuration lead in workshops with senior London-based business stakeholders.
• Explain configuration design, rule logic, testing outcomes, issues, and trade-offs in clear business language.
• Facilitate discussions between business SMEs, actuaries, developers, testers, architects, and delivery leads.
• Provide structured status updates, risk/issue summaries, and decision points to project leadership.
• Ensure business stakeholders understand how configured rules reflect their underwriting and pricing requirements.
• Define and execute rule configuration testing, scenario testing, regression testing, and spreadsheet-to-Rulebook reconciliation.
• Validate Rulebook outputs against source Excel models, expected pricing outcomes, underwriting rules, and edge-case scenarios.
• Support SIT, UAT, defect triage, root-cause analysis, and defect resolution.
• Maintain configuration documentation, traceability, version control, and audit evidence.
• Ensure configurations support governance, auditability, and controlled deployment of pricing/underwriting changes.

Lead Engineer

Salesforce Developer

• Design and develop Salesforce Order Management (OMS) features including order lifecycle, fulfillment orchestration, inventory visibility, returns, and cancellations
• Build and customize Apex classes, triggers, Lightning Web Components (LWC), Flows, and OmniStudio components where applicable
• Implement event‐driven and API‐based integrations with upstream and downstream systems (Commerce, ERP, WMS, Inventory services)
• Collaborate with Functional and Solution Architects to translate functional designs into technical implementations
• Contribute to low‐level design (LLD) and ensure alignment with enterprise integration and security standards
• Own technical delivery of stories end‐to‐end, including development, unit testing, and deployment
• Write unit tests to meet Salesforce code coverage and quality standards
• Ensure performance, scalability, and reliability of OMS solutions
• Support SIT, UAT, and production releases, including defect triage and fixes
• Work with Salesforce DevOps tools (SFDX, Salesforce CLI, Git, CI/CD pipelines)
• Support multi‐environment deployments (DEV → SIT → UAT → PROD)

Artificial Intelligence

• Drive AI-powered innovation initiatives to enhance software testing quality, efficiency, coverage, and speed.
• Design and develop enterprise-scale automation frameworks using Playwright, SpecFlow, AI Agents, and Generative AI technologies.
• Build intelligent solutions capable of automatically generating, maintaining, and optimising test scripts through AI.
• Architect and implement Agentic AI frameworks, autonomous testing workflows, and MCP Server-based integrations.
• Develop AI-powered testing assistants using Microsoft Copilot, Copilot Studio, LLMs, and AI Agents.
• Collaborate with Product, AI Engineering, and Automation COE teams to define and enhance AI-driven testing capabilities and roadmap initiatives.
• Work closely with enterprise customers to identify testing challenges and drive AI-led Quality Engineering transformation programmes.
• Develop Proof of Concepts (POCs), innovation accelerators, and reusable frameworks demonstrating measurable business value through AI-powered testing.
• Define enterprise test automation strategies, architecture standards, and best practices while mentoring engineering and automation teams.
• Support customer workshops, solution consulting, pre-sales engagements, demonstrations, and executive presentations while staying abreast of emerging AI and automation technologies.

AI Automation Consultant

Architect

• Install and configure: Rocket Enterprise Server (MFES) Enterprise Developer runtime
• Setup: Regions (CICS / batch regions) File handlers (VSAM emulation)
• Manage AWS Components EC2 (Compute instances for MFES) EBS / FSx (Storage for files) S3 (Batch input/output files) VPC / Subnets (networking)
• Lead technical strategy across all migration workstreams
• Own architecture decisions and ADR documentation
• Ensure Rocket ES stability, COBOL pipeline, and DevOps
• Oversee DB2 migration, shared services, and security
• Present at workshops and SteerCo on technical progress

Lead Engineer

Salesforce Developer

AI Automation Consultant

Senior Mainframe Architect