Senior Technical Lead

Job Summary

Experience: 6-7 years | Preferred Domain: Banking / Financial Services | Role Type: Technology Migration, Modernization and AI-enabled Delivery

Role Summary

We are looking for experienced technology migration professionals with 6-7 years of hands-on experience in application, platform, data, cloud, or legacy modernization programs. The ideal candidate should have worked on end-to-end migration initiatives, preferably in the banking or financial services domain, and should be comfortable using AI-assisted tools to accelerate analysis, documentation, code conversion, testing, defect resolution, and delivery productivity.

Key Responsibilities

Key Responsibilities

• Participate in technology migration and modernization programs involving legacy applications, databases, middleware, integrations, or cloud platforms.
• Assess existing systems, dependencies, interfaces, data flows, batch jobs, reports, and business-critical processes to support migration planning.
• Prepare migration impact assessments, technical analysis documents, mapping specifications, conversion plans, and validation checklists.
• Support code migration, data migration, environment migration, platform upgrades, or application re-engineering activities as per project scope.
• Use AI-assisted engineering tools for code analysis, documentation generation, test case creation, defect triage, knowledge extraction, and productivity improvement.
• Collaborate with architects, business analysts, developers, testers, infrastructure teams, security teams, and client stakeholders to ensure smooth migration execution.
• Identify migration risks, technical blockers, data quality issues, regulatory considerations, and operational dependencies early in the lifecycle.
• Support SIT, UAT, regression testing, reconciliation, parallel runs, cutover planning, go-live readiness, and post-migration stabilization.
• Ensure compliance with banking-grade standards for security, auditability, data privacy, access control, and production change governance.

Skill Requirements

Required Skills and Experience

• 6-7 years of IT experience with at least 2-3 years in technology migration, modernization, upgrade, re-platforming, cloud migration, or data migration programs.
• Strong understanding of software development lifecycle, migration lifecycle, release management, change management, and production support processes.
• Hands-on experience in one or more technology stacks such as Java, .NET, Python, SQL, PL/SQL, Mainframe, ETL, APIs, microservices, cloud platforms, or enterprise integration technologies.
• Experience in analyzing legacy code, databases, stored procedures, interfaces, reports, jobs, and technical dependencies.
• Ability to create technical documentation, migration runbooks, cutover plans, issue logs, reconciliation reports, and status updates.
• Working knowledge of AI tools such as GitHub Copilot, Microsoft Copilot, ChatGPT-style assistants, code conversion accelerators, test generation tools, or AI-based documentation tools.
• Good understanding of banking processes such as payments, cards, lending, deposits, customer onboarding, trade finance, risk, compliance, or regulatory reporting will be preferred.
• Strong analytical, problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

• Prior experience in banking, financial services, insurance, or regulated enterprise environments.
• Exposure to migration from legacy to modern technology platforms, monolith to microservices, on-premises to cloud, or manual processes to automated delivery models.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Understanding of DevOps, CI/CD, version control, automated testing, observability, and deployment pipelines.
• Ability to evaluate where AI can improve migration productivity, reduce manual effort, improve quality, and accelerate knowledge transition.
• Experience working in Agile, hybrid, or large-scale transformation programs with distributed teams.

Other Requirements

AI Enablement Expectations

• Use AI tools responsibly to accelerate code understanding, reverse engineering, documentation, test design, and issue analysis.
• Validate AI-generated outputs for accuracy, security, compliance, and maintainability before use in project deliverables.
• Identify repeatable migration tasks that can be automated or AI-assisted.
• Contribute to prompt templates, reusable checklists, migration accelerators, and knowledge assets.
• Demonstrate openness to learning new AI tools and applying them in day-to-day delivery without compromising governance or quality.

Suggested Screening Criteria

Evaluation Area

What to Check

Migration Experience

Has worked on real migration or modernization programs, not just maintenance projects.

Banking Domain Fit

Understands banking processes, compliance expectations, production controls, and audit sensitivity.

Technical Depth

Can analyze legacy systems, dependencies, databases, integrations, and migration risks.

AI Readiness

Can explain practical use of AI for code analysis, documentation, testing, and productivity improvement.

Delivery Ownership

Can independently manage assigned migration workstreams, risks, issues, and stakeholder communication.