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Tata Consultancy Services Limited

Engineer- Analysis

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Job Description

Java Fullstack Developer Must Have Technical/Functional Skills Front-End Engineering:

Deep expertise in React, TypeScript, and JavaScript. Proven experience in Data Visualization (e.g., D3.js, Chart.js, Recharts, or similar libraries).

Back-End Engineering:

Strong proficiency in Node.js, Python, and C#. Ability to design and implement RESTful APIs and microservices.

Cloud & DevOps:

Hands-on experience with cloud platforms: AWS and GCP. Extensive knowledge of containerization and orchestration: Docker, Kubernetes, and Helm.

Messaging & Streaming:

Experience building asynchronous systems using Kafka and/or Apache Pulsar.

Databases & Search:

Proficiency in relational databases: Postgre

SQL, SQL

Server. Proficiency in NoSQL, caching, and search engines: MongoDB, Redis, and Elasticsearch.

CI/CD:

Experience configuring and maintaining deployment pipelines using GitLab CI, Jenkins, and Argo CD.

AI & Innovation:

Practical experience using AI-Assisted Development (e.g., GitHub Copilot, Cursor, Tabnine) and implementing LLM-integrated engineering workflows.

Methodology & Certification:

Active SAFe Agile Certification (e.g., SAFe Agilist, SAFe Practitioner) is required.

Roles & Responsibilities Full-Stack Development:

Design, develop, and maintain responsive web applications using modern front-end frameworks and versatile backend languages.

Data Visualization:

Create intuitive, interactive data visualizations and dashboards for complex datasets.

Cloud & Infrastructure:

Deploy, manage, and scale applications across AWS and GCP using containerization and orchestration tools.

Event-Driven Architecture:

Build and optimize high-throughput, real-time messaging and streaming systems.

Database Management:

Design data models and manage both relational and NoSQL databases to ensure high availability and performance.

CI/CD & DevOps:

Establish and maintain automated deployment pipelines for continuous integration and continuous delivery.

AI-Augmented Engineering:

Utilize AI coding assistants and integrate Large Language Models (LLMs) into engineering workflows to improve code quality and team velocity.

Agile Leadership:

Actively participate in SAFe® Agile ceremonies, collaborating closely with product owners, scrum masters, and cross-functional teams to deliver value iteratively. Education Bachelors Degree preferred TCS Employee Benefits Summary

• Discretionary Annual Incentive.

•

Comprehensive Medical Coverage:

Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

•

Family Support:

Mat ernal & Parental Leaves.

•

Insurance Options:

Auto & Home Insurance, Identity Theft Protection.

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Convenience & Professional Growth:

Commuter Benefits & Certification & Training Reimbursement.

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Time Off:

Vacation, Time Off, Sick Leave & Holidays.

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Legal & Financial Assistance:

Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range:

$120000 - $125000 a year #LI-JH1

Benefits

  • Sick Leave
  • 401(k) Plans
  • Bonuses/Stipends
  • Health Insurance