Senior Data, AI & Reliability Engineer

Tata Consultancy Services Limited; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Maternal & Parental Leaves

401K Plan

Professional Growth: Certification &培训

Job summary

Tata Consultancy Services in Plano, TX seeks a Senior Data, AI & Reliability Engineer to strengthen data pipelines, AI-enabled knowledge tooling, and backend services with an observability-first approach.

The role involves improving data integrity, building self-service tooling, coordinating across APIs, content platforms, and cloud deployments, and performing incident RCA to prevent future issues.

Qualifications

• Senior backend engineering experience in enterprise environments.
• Strong data pipeline and data integrity experience.
• Experience moving, transforming, and synchronizing content, articles, and structured/unstructured data between systems.
• AI/LLM integration experience, including RAG, MCP, agents, and/or AI-enabled knowledge tools.
• Strong API, integration, and automation experience.
• Observability-first engineering mindset with logging, metrics, alerts, dashboards, and health checks.
• Experience with Splunk and Datadog.
• Strong SQL skills and data troubleshooting experience.
• Development experience with Java/Spring Boot, Python, Node.js, TypeScript, or similar.
• Cloud engineering experience, particularly AWS.
• CI/CD pipelines and production deployment experience.
• Incident management, troubleshooting, and root cause analysis.
• Ability to build self-service tooling and automation to reduce manual support.
• Strong documentation and cross-team collaboration skills.

Responsibilities

• Senior engineer responsible for improving the reliability, integrity, and observability of data and content across the Knowledge Management ecosystem.
• Work across backend services, data pipelines, APIs, and AI-enabled knowledge capabilities.
• Identify failures and data-quality issues proactively.
• Implement production-readiness practices including automated testing, CI/CD, and containerization.
• Engage in troubleshooting and continuous improvement.
• Communicate effectively with stakeholders across multi-vendor teams.

Skills

Backend engineering

Data pipelines

Data integrity

AI/LLM integration

API integration

Observability

Splunk

Datadog

SQL

Java/Spring

Python

Node.js

TypeScript

AWS

CI/CD

Incident management

Automation tooling

Documentation

Tools

Splunk

Datadog

AWS

Job description

Position: Senior Data, AI & Reliability Engineer

Duration: Full Time

Job Description

Senior Data, AI & Reliability Engineer

Must Have Technical/Functional Skills

• Senior backend engineering experience within enterprise environments
• Strong data pipeline and data integrity experience
• Experience moving, transforming, and synchronizing content, articles, and
• structured/unstructured data between systems
• AI/LLM integration experience, including RAG, MCP, agents, and/or AI-enabled knowledge tools
• Strong API, integration, and automation experience
• Observability-first engineering mindset, including logging, metrics, alerts, dashboards, and health checks
• Experience with Splunk and Datadog
• Strong SQL skills and experience troubleshooting data-related issues
• Development experience with Java/Spring Boot, Python, Node.js, TypeScript, or similar technologies
• Cloud engineering experience, particularly AWS
• CI/CD pipelines and production deployment experience
• Experience with incident management, troubleshooting, and root cause analysis
• Ability to build self-service tooling and automation that reduces manual support and dependency on other teams
• Strong documentation, communication, and cross-team collaboration skills

or content platforms is a strong plus

Responsibility of / Expectations from the Role

Senior engineer responsible for improving the reliability, integrity, and observability of data and content moving across the Knowledge Management ecosystem. This individual should be comfortable working across backend services, data pipelines, APIs, and AI-enabled knowledge capabilities,

with a strong instinct for proactively identifying failures and data-quality issues.

Implement production-readiness practices including automated testing, CI/CD, containerization,

troubleshooting, and continuous improvement.

Generic Managerial Skills

Very good communication and stakeholders management in multi – vendor team interactions.

Education

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Ins urance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.