One MetLife software engineer candidate described a conversation-based process: a recruiter screen, on-site talks with a tech lead and hiring manager, and a final chat with another manager, with no take-home work.
$105K
Avg. Base Comp
$118K
Avg. Total Comp
Not reported
Typical Rounds
2 months
Process Length
MetLife's software engineer interview, as one candidate described it, was conversation-driven rather than an algorithm gauntlet. There were no take-home assignments and no algorithmic grinding. The focus was on background, the technology stack, and fit with the team.
It began with a recruiter phone screen covering the candidate's background, experience with different technologies, and motivation for the role. The recruiter asked specifically about Azure, which seemed central to the position. Scheduling took a while, and about a week passed before the candidate heard back about moving forward.
Next came on-site interviews with the tech lead and the hiring manager. The tech lead asked about the technologies the candidate had used and their hands-on experience. The hiring manager's interview was longer and felt like the most important one. It went deeper into how the candidate would approach problems and fit the team, and it explained what the role looks like day to day. A third, more informal conversation with a manager from another team followed. The whole process ran about two months from application to offer, and the salary came in higher than the candidate expected.
To prepare, be ready to talk concretely about the tools you have used, especially cloud platforms like Azure if the team works with them. Bring examples of problems you have solved, and have a clear answer for why this particular team and role interest you. This is a single candidate's account, so your own loop may differ.
Synthesized from 5 candidate reports by our editorial team.
Had an interview recently?
Share your experience. Unlock the full guide.
Real interview reports from people who went through the Metlife process.
I went through two back-to-back rounds at MetLife for a software engineer role. The first was a technical interview that felt more like a resume deep dive than a traditional coding challenge. My interviewer went through my background thoroughly, asking me to explain projects and decisions I'd made in detail. They weren't trying to trick me — it felt like they genuinely wanted to understand what I'd built and why. This round also included some CS fundamentals questions, but nothing too obscure. The second interview was behavioral, and honestly, both interviewers were super laid back and easy to talk to. That made a huge difference in how I felt going through the process. The whole thing moved quickly — from recruiter call to interviews happening the next day. Neither round felt like a high-pressure whiteboard grind, which I appreciated. What stood out most was how much they cared about my actual experience rather than leetcode-style problems. I'd say the key is being able to articulate what you've done on your resume and having solid stories ready for behavioral questions. If you can talk confidently about your background and explain your technical decisions clearly, you're in good shape.
Prep tip from this candidate
Be prepared to walk through every significant project and decision on your resume in detail — MetLife's technical round focuses heavily on understanding your actual work experience rather than algorithm problems. Polish your behavioral stories and practice speaking clearly about your past contributions.
Share your own interview experience to unlock all reports, or subscribe for full access.
Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Metlife
Describing a data project and its challenges
| Question | |
|---|---|
| Blob Indexing | |
| 2nd Highest Salary | |
| Employee Salaries | |
| Random SQL Sample | |
| Bagging vs Boosting | |
| P-value to a Layman | |
| Size of Joins | |
| Type-ahead Search | |
| Cyclic Detection | |
| Three Zebras | |
| Precision and Recall | |
| Success Measurement | |
| Target Indices | |
| RAG Strict Source Control | |
| Transformer Encoder Layer | |
| Duplicate Rows | |
| Modifying a Billion Rows | |
| Type I and II Errors | |
| Same Characters | |
| Swap Variables | |
| Integer String Addition | |
| The Longest Journey | |
| Employee Benefits Outreach | |
| Triangle as Binary Array | |
| International e-Commerce Warehouse | |
| Drink Production Allocation | |
| Shortest Path Algorithms | |
| Why Do You Want to Work With Us | |
| Decision Tree Evaluation |
Synthesized from candidate reports. Individual experiences may vary.
The process opened with a phone screen in which the recruiter walked through the candidate's background, asked about experience with different technologies, and explored motivation for the role. Azure familiarity came up specifically. Scheduling the call took some time, and about a week passed before the candidate heard back about moving forward.
The candidate then met the tech lead and the hiring manager on-site. The tech lead asked about technologies the candidate had worked with and their hands-on experience. The hiring manager's interview was longer and covered similar ground in more depth, including how the candidate would approach problems, and it explained the role's day-to-day work.
A third conversation took place with a manager from a different team. The candidate found it more informal and almost like a formality, but treated it seriously. The offer followed the final round, about two months after applying. The candidate reported no take-home assignments or algorithmic exercises, and the salary was higher than they expected.
