Metropolis Healthcare, one of India's largest diagnostics chains, hires software engineers to build the systems behind lab test ordering, sample tracking, report delivery, and its consumer and B2B apps.
The interview loop is technical-first: expect a DSA and coding round at easy-to-medium difficulty, then rounds on practical engineering such as API design, SQL and database modelling, and role-specific stack depth. Because the domain covers lab operations, patient reports, and integrations with labs and hospitals, interviewers value correctness, data integrity, and clean design over algorithmic flair. Prepare to discuss real projects end to end: how you modelled the data, handled edge cases, and shipped. A hiring-manager round then covers ownership, collaboration with non-engineering teams, and fit with a healthcare-operations context.
About Metropolis Healthcare
Metropolis Healthcare is India's third-largest diagnostic chain with 4,000+ labs and collection points. It operates a tech-enabled B2C and B2B diagnostics platform, processing 75,000+ tests daily.
Resume screen: relevant projects, internships, and stack experience
Coding or DSA screen: 1-2 easy-to-medium problems
Technical rounds: API design, SQL and database modelling, and role-specific stack depth
Hiring-manager and HR round: ownership, cross-team collaboration, and culture fit
Coding Screen (45-60 min)
1-2 DSA problems at easy-to-medium level. Correct, clean solutions with basic complexity reasoning are the bar.
Technical Deep Dive (45-60 min, one or two rounds)
API design, SQL and database modelling, and stack-specific questions, plus an end-to-end walk-through of a real project and its data design.
Hiring Manager and HR (30-45 min)
ownership, collaboration with lab and operations teams, and fit with Metropolis's diagnostics context.
Sourced from 2+ candidate post-mortems. Hit Practice to answer any one with AI voice feedback.
2 more questions. Sign up to unlock all
Sign up free: unlock all questionsThe typical Metropolis Healthcare recruitment process has 4 stages: Resume screen: relevant projects, internships, and stack experience → Coding or DSA screen: 1-2 easy-to-medium problems → Technical rounds: API design, SQL and database modelling, and role-specific stack depth → Hiring-manager and HR round: ownership, cross-team collaboration, and culture fit.
Metropolis Healthcare typically conducts 3 interview rounds: Coding Screen (45-60 min): 1-2 DSA problems at easy-to-medium level. Correct, clean solutions with basic complexity reasoning are the bar.; Technical Deep Dive (45-60 min, one or two rounds): API design, SQL and database modelling, and stack-specific questions, plus an end-to-end walk-through of a real project and its data design.; Hiring Manager and HR (30-45 min): ownership, collaboration with lab and operations teams, and fit with Metropolis's diagnostics context..
HireStepX recommends the Data-First Design framework for this type of interview: Model the entities and relationships first, define clean APIs and queries, then handle edge cases and data-integrity constraints.
To answer this question well, HireStepX recommends the Data-First Design approach: Model the entities and relationships first, define clean APIs and queries, then handle edge cases and data-integrity constraints. Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Data-First Design approach: Model the entities and relationships first, define clean APIs and queries, then handle edge cases and data-integrity constraints. Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Data-First Design approach: Model the entities and relationships first, define clean APIs and queries, then handle edge cases and data-integrity constraints. Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Data-First Design approach: Model the entities and relationships first, define clean APIs and queries, then handle edge cases and data-integrity constraints. Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Data-First Design approach: Model the entities and relationships first, define clean APIs and queries, then handle edge cases and data-integrity constraints. Ground your answer in a specific real example from your own experience.