Tcs India
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Hyderabad · On-site · ₹5 LPA · 3-5 Yrs · 3 hours ago
Software Development · 10000+ Employees · Mumbai, India
Hiring: Engineering
What employees say
+ Good Company, if you can join with good pay then go ahead
− nothing as of now I can see in this company
More reviews on the company profile.
Interview experience · TCS Ninja Role
First online round in college consisted of aptitude and two questions one was BFS and another one was of 2d matrix.Got ninja offer and than in interview asked me from resume itself and what is OS job algo and IPv4 and IP
Average difficulty · Mumbai · 22,726 reports
More interview insightsJob description
Overview
SN Required Information Details
Qualifications
- Strong expertise in Kubernetes and Docker container orchestration.
- Strong knowledge of Terraform and Infrastructure as Code (IaC).
- Hands-on experience with Datadog, Prometheus, or Grafana monitoring solutions.
- Strong background in Incident Management, On-call Operations, MTTA/MTTR tracking,
- and Blameless Postmortems.
- Understanding of AI/ML platform reliability, MLOps, and model monitoring.
- Knowledge of Vertex AI, AI observability, model drift monitoring, and AIOps concepts.
- Strong analytical, troubleshooting, and root-cause analysis skills.
- Excellent stakeholder communication and leadership skills.
- Good-to-Have Behavioral Attributes:
- Ability to lead a reliability workstream independently.
- Robust decision-making and ownership mindset.
- Excellent presentation and communication skills.
- Exposure to Agentic AI, LangChain, LangGraph, and RAG architectures.
- Define and maintain SLOs, SLAs, SLIs, and Error Budgets for critical Manufacturing Engineering platforms.
- Design and implement enterprise-grade observability solutions across applications and infrastructure.
- Build and maintain monitoring dashboards and actionable alerting mechanisms.
- Develop and support Jenkins-based CI/CD pipelines for reliable and scalable deployments.
- Manage Infrastructure as Code using Terraform across GCP environments.
- Deploy, administer, and optimize Kubernetes-based production platforms.
- Conduct load testing, stress testing, and production readiness assessments.
- Develop runbooks, incident response procedures, and postmortem documentation.
- Implement reliability and observability frameworks for AI/ML applications and Agentic AI systems.
- Implement AIOps capabilities including anomaly detection, predictive alerting, and incident auto-triage.
- Support GenAI-assisted incident response and automated RCA initiatives.
- Collaborate with Manufacturing Engineering, AI/ML Engineering, and Enterprise IT teams.
- Drive automation initiatives to reduce operational toil and improve system reliability.
- Lead AI and Agentic AI reliability initiatives in a cutting-edge manufacturing environment.
- Work on Google Cloud Platform, Kubernetes, Terraform, and enterprise observability solutions.
- Work closely with global manufacturing engineering and AI teams.
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Job application FAQ
Last updated 1 November 2026
- How do I apply for Sr Reliability Engineer- Ford (Hyderabad) at Tcs India?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Tcs India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Sr Reliability Engineer- Ford (Hyderabad) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Sr Reliability Engineer- Ford (Hyderabad) remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Sr Reliability Engineer- Ford (Hyderabad) role at Tcs India?
- This is a senior Sr Reliability Engineer- Ford (Hyderabad) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.