Manager-HR· NoidaCurrent employee3.0/5
Nothing great here
Pros: Process oriented company, public company
Cons: Culture is only for optics
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Happiest Minds Technologies
Information Technology Support Services · 5001 to 10000 Employees · Bengaluru, India
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Happiest Minds Technologies Limited is an AI-led, customer-first digital engineering and Mindful IT company, driving digital transformation through product engineering, cybersecurity, analytics, and automation platforms powered by enterprise-ready Gen-AI, serving 280+ clients through 6,500+ experts and global partnerships. Happiest Minds’ innovation-led strategy is powered by deep expertise in disruptive tech including Gen AI and strategic partnerships with global technology leaders like Microsoft and AWS, along with a growing portfolio of proprietary platforms including Arttha, a unified digital payments suite designed to enable seamless and inclusive financial experiences, Insurance in a Box, a modular digital insurance platform powered by InsuranceGPT to help insurers build, automate, and scale AI-driven products and workflows., and FuzionX Gaming Studio, a game development hub focused on building high-performance gaming experiences that integrate creativity with advanced technology. Happiest Minds has been honored by both the Golden Peacock Awards and the Institute of Company Secretaries of India (ICSI) for its exemplary Corporate Governance practices. Guided by its mission of ‘Happiest People . Happiest Customers’ and consistently recognized as a great place to work, Happiest Minds is headquartered in Bengaluru, India, with a global presence across the Americas, UK, Europe, Australia, the Middle East, Africa, and Asia. As of June 2025, Happiest Minds generates annualized revenues in excess of $270 million, has a people strength of over 6,500 across 43 global offices, and serves 280+ customers, including 85+ billion-dollar corporations.
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Culture signals
- Work-life balance 3.9
- Compensation 3.4
- Culture 3.8
What employees say
+ Process oriented company, public company
− Culture is only for optics
Employee voices
Recent Glassdoor reviews · 2,663 total
Python Developer· BengaluruCurrent employee5.0/5
Fantastic work environment with great flexibility and support
Pros: Loved working here! Excellent work environment with a positive, friendly team. Good work-life balance and flexibility, combined with meaningful technical projects and real learning opportunities. The atmosphere genuinely feels inclusive and supportive.
Cons: nothing to say in this company
View on GlassdoorCyber Security Analyst· NoidaCurrent employee1.0/5
Learning opportunities and good culture, but nothing notable
Pros: Learning, ontime salary, cab, culture
Cons: Nothing as such as normal company.
View on GlassdoorSoftware Engineer· BengaluruCurrent employee5.0/5
Strong engineering culture with room to grow as we scale
Pros: Happiest Minds is a great place to build impactful products.Amazing work environment with a strong focus on employee development and innovation. We're encouraged to take ownership of projects and learn new technologies hands-on.
Cons: I haven't encountered any significant drawbacks in my time here. The work is meaningful, the team is collaborative, and I'm continuously learning
View on GlassdoorSenior Test Engineer· BengaluruCurrent employee3.0/5
Salaries on time but limited raises despite performance
Pros: Salary before month end, Udemy learning
Cons: Hikes depend on budget even perform well they won't
View on GlassdoorCompany review data sourced from Glassdoor.
Compensation benchmarks
Glassdoor salary estimates for top hiring roles
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| TECHNICAL LEAD - PHP | India | — | — – — | — |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
Interview experiences
India-scoped Glassdoor interview reports · 750 total · avg difficulty 3.1/5 · 807 questions indexed
Data Scientist· IndiaEasyno offer
The overall interview process was quite disappointing and unprofessional. The recruiter appeared to have limited clarity about the interview rounds, the role, and what the hiring team was actually looking for. I went through multiple rounds of interviews and received positive feedback during the process, which gave me the impression that things were progressing well. However, I was eventually ghosted without any clear update or explanation. The communication from the recruiter was also inconsistent. While scheduling interview slots, I received calls as late as 10–11 PM regarding interviews scheduled for the following morning. However, when I later tried to follow up for an update, the recruiter did not respond to calls. Overall, the interview experience could have been much better with clearer communication, better coordination between the recruiter and hiring team, and basic professionalism in closing the loop with candidates.
Sample questions
- 1. About resume and data concepts
Technical Lead· PuneAverageaccept offer
Smooth Process and technology based questions and mostly regarding the resume experience questions and discussion. RPA assessment's and RPA support projects. Interview process contains three round as Technical discussion and Manger technical round and final HR round.
Sample questions
- RPA project Lifecycle end to end.
Senior Data Scientist· PuneAverageaccept offer
I was selected by a recruiter when I responded to one of their job availability emails. The hiring process was structured and extremely quick. It took only a week from the first email to onboarding. There were 2 rounds. One with a senior level data scientist at happiest minds and one with the client. The client round was very straight forward and the internal first tech round was also quite simple. They tested the basics. The salary budget was fixed and even though I had another higher offer in hand they did not match the offer. But I still accepted as the offer was still a decent one and the company was quick and reliable in responses that they provided.
Sample questions
- questions on GenAI 1. Transformers 2. Hallucination in LLMS 3. Vector databases 4. ML questions on Neural Networks, Activation functions 5. orchestration tools like langchain and langraph 6. questions about the specific GenAI project that I did. client round: 1. simple python program 2. Basic questions on LLM, Agentic AI, generative vs tradition ML, Hallucinations, RAG,Evaluation metrics and testing, size of data, Batch vs streaming( basic LLM deployment questions) 7. Tools in Azure
Data Engineer· ChennaiAverageaccept offer
The hiring process consists of four distinct interview rounds. It begins with an initial HR round, followed by two thorough technical rounds to assess your skills. Finally, it concludes with a project and salary discussion.
Sample questions
- Most of the questions were from resume. Then were written tets in SQL , Python. And they will ask questions from the tech stacks which we have mentioned in the resume.
Devops Engineer· BengaluruDifficultaccept offer
Interview process is very good and feed back is bit late and best interview experience And for me i given direction client round This is the best part and interview duration is 60mn
Sample questions
- Complete DevOps question and real time experience questions
Questions reported by interview candidates on Glassdoor; edited for clarity. Not guaranteed to match your exact interview.
Open engineering roles
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