Vengavasal Tamil Nadu Senior technical lead Jobs – 1276 Open Jobs Today

Senior Technical Lead
HCLTech —Sholinganallur, Chennai, Tamil Nadu
- Azure
- DevOps
- Java
4d
Senior Technical Lead
Infinite Computer Solutions Ltd. —Chennai, Tamil Nadu
- Azure
- Computer Science
- System design
2d
Senior Technical Lead – Engineering & Conversational AI
EITB Global Infosolutions —Chennai, Tamil Nadu
- ₹10,50,986.58 - ₹23,79,573.33 a year
- Full-time
- Azure
- English
- SQL
Quick apply
9d
SharePoint Senior Technical Lead
HCLTech —Chennai, Tamil Nadu
- Software troubleshooting
- SharePoint
- Leadership
4d
Senior Electrical Design & Commissioning Manager (B.E. Electrical)
Industials Heators —Medavakkam, Chennai, Tamil Nadu
- ₹50,000 - ₹55,000 a month
- Full-time
- AutoCAD
- Schematics
- CAD
- Health insurance
Quick apply
Senior Commodity Lead - SCS
Johnson Electric Private Limited – Manufacturing —Chennai, Tamil Nadu
- Full-time
- Oracle
- Engineering
- English
Quick apply
13d
Senior Node JS Developer / Tech Lead
K4 IT Services India Pvt Ltd —Chennai, Tamil Nadu
- ₹1,00,000 - ₹2,00,000 a month
- Full-time
- JavaScript
- APIs
- In-person
Quick apply
Senior Technical Lead
Tivona Global Technologies —Kancheepuram District, Tamil Nadu
- Email
- CRM software
- Computer Science
- DevOps
Snowflake Senior Technical Lead
HCLTech —Chennai, Tamil Nadu
- Azure
- SQL
- AWS
5d
Salesforce Apex Senior Technical Lead - Lightning framework and administration
HCLTech —Chennai, Tamil Nadu
- Computer Science
- Salesforce
- DevOps
3d
Senior Manager, Vendor Management
Smart Data Solutions LLC —Perungudi, Chennai, Tamil Nadu
- Management
- Microsoft Office
- Master's degree
Quick apply
Senior Lead Engineer
Quest Global —Chennai, Tamil Nadu
- Full-time
- Manufacturing
- Communication skills
Quick apply
6d
Kubernetes Senior Technical Lead - Azure DevOps
HCLTech —Chennai, Tamil Nadu
- Azure
- DevOps
- Scripting
Senior Lead or Engineer Manager
Monotaro Technologies India Private Limited —Chennai, Tamil Nadu
- Computer Science
- System design
- Java
Quick apply
Senior Lead
NCR —Chennai, Tamil Nadu
- Full-time
- Bachelor's degree
- Scripting
- Leadership
Senior Technical Product Manager
VALOR PAYTECH INDIA PRIVATE LIMITED —Chennai, Tamil Nadu
- Full-time
- English
- SQL
- Analysis skills
Quick apply
Senior Technical Product Owner
Toppan Merrill —Chennai, Tamil Nadu
- Full-time
- APIs
- Agile
- Communication skills
Senior Technical Product Manager
Valor PayTech —Chennai, Tamil Nadu
- Full-time
- English
- SQL
- Analysis skills
Senior Technical Lead - Java, Microservices, React.js
HCLTech —Chennai, Tamil Nadu
- DevOps
- Java
- APIs
4d
Technical Lead Ruby on Rails Developer
RAVSoft Solutions —Tidel Park, Chennai, Tamil Nadu
- ₹10,00,000 - ₹45,00,000 a year
- Urgently hiring
- Computer Science
- B.Sc
- Bachelor's degree
- Health insurance
- Work from home
Quick apply

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Senior Technical Lead

HCLTech -
Sholinganallur, Chennai, Tamil Nadu

Apply Now

Job details

4 days ago

Qualifications

CI/CD
Azure
Data migration
DevOps
Regulatory reporting
Git
.NET
Java
Databases
SQL
AWS
Analysis skills
Release management
Continuous integration
Software development
GitHub
APIs
Agile
IT
Financial services
Test cases
AI
PL/SQL
Communication skills
Banking
Python
SDLC

Full job description

Sholinganallur, Tamil Nadu
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
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
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.
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.
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.

Other Requirements
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.

Ideal Candidate Profile

The ideal candidate is a hands-on technology migration professional who understands enterprise delivery discipline, has exposure to banking or financial services systems, and can intelligently use AI tools to improve speed, quality, documentation, and migration confidence.

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