Good company if you secure a good salary
Pros: Good Company, if you can join with good pay then go ahead
Cons: nothing as of now I can see in this company
View on Glassdoor
Tcs India headquartered in Mumbai, India has 1 active tech role on Feedback AI with AI match scores, optional skill assessments, and company insights when Glassdoor enrichment exists. Candidates browse open listings on this profile; signed-in users see ranked fit and skill gaps per role. Employers post jobs and review match-ranked applicants on the same platform.
Office locations
1
Open roles tracked
1
Posted last 7 days
1
Posted last 30 days
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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
Recent Glassdoor reviews · 181,378 total
Pros: Good Company, if you can join with good pay then go ahead
Cons: nothing as of now I can see in this company
View on GlassdoorPros: My experience at Tata Consultancy Services has been very valuable for my professional growth. I got the opportunity to work on enterprise-level projects, collaborate with experienced teams, and gain hands-on experience with technologies like Java, Spring Boot, Microservices, JPA/Hibernate, REST APIs, SQL, and CI/CD. The organization also provided exposure to structured development processes, client requirements, and working in a large-scale corporate environment. Overall, TCS helped me strengthen both my technical and professional skills.
Cons: One challenge was that, being a large organization, some processes can be relatively structured and time-consuming, especially approvals, internal processes, and project changes. In some projects, there can also be limited flexibility in choosing technologies or taking ownership of certain decisions because of established processes and client requirements. However, these experiences also helped me become more adaptable and process-oriented.
View on GlassdoorPros: High stability due to massive global operations and enterprise scale
Cons: resher packages are modest compared to product-based firms
View on GlassdoorPros: Lot of employee benefits are there. Health Insurance is very good, lot of learning opportunities are there and you will get rewarded as well but you need to put effort in achieving them.
Cons: Most project has strict 5 days WFO policy. WLB depends on the project and can't be generalized.
View on GlassdoorPros: Good exposure to AWS, Kubernetes, OpenShift and DevOps tools. Opportunities to work on enterprise-scale production environments, troubleshooting, automation, monitoring and incident management. Supportive team members and opportunities to learn new technologies.
Cons: Compensation growth can be slow compared with market opportunities and increasing responsibilities. Career progression may depend on project availability and internal processes. Work-from-office requirements can also reduce flexibility for some employees.
View on GlassdoorCompany review data sourced from Glassdoor.
Glassdoor salary estimates for top hiring roles · 306,286 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering Manager | India | 17.0 LPA | 2.7 LPA – 30.0 LPA | 25 |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
India-scoped Glassdoor interview reports · 22,726 total · avg difficulty 2.8/5 · 23,850 questions indexed
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 v6 and cookie vs jwt
The Interview was mostly about the things mentioned in CV. And they are expecting knowledge about AI and the tools. The TR and MR round was combined the panel had both of them . You must be ready to answers accordingly. Preapre your self mentally to answer the different type of questions.
There are the 2 rounds l1 l2 they asked multiple scenario based questions on databricks pyspark and sql after they asked about project and give scenario on project to solve releated to incremental data on databricks.
It was a very short interview for hardly 15 minutes, and they asked me questions mainly from my resume and just one dsa question. Just questions of relocation and night shift and project assignment was asked.
The interview panel consisted of three people. 1 was from technical background, 1 was from managerial background and 1 was from hr background. The interview lasted around an hour. The technical one asked me questions about the projects I had listed in my resume and probed me for the approaches that I had taken. The managerial one asked me about the conflicting opinions in a team environment and how I would handle it. As for HR, he asked about my future goals and where I see myself in the next 5 years.
Top hiring roles: Engineering
Last updated 1 November 2026
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