OkRx Software Engineer Interview: Questions, Experience & Prep (2026)

OkRx is a healthtech company working on pharmacy and prescription management solutions in India. As of mid-2026, they have 1 open Software Engineer role on knok jobradar, reflecting a tight, focused hiring cycle.

What to expect from the process: Candidates report a recruiter or HR screen, followed by one or two technical rounds covering coding and system design, and a final conversation around values or team fit. OkRx's engineering work involves healthcare data, pharmacy system integrations, and building software where data accuracy carries real consequences. Interviewers typically probe for security awareness, edge-case thinking, and a reliability-first mindset.

If you are coming from a non-healthcare background, take time before your interview to understand what OkRx builds and why data integrity is especially critical in their domain. Candidates who can speak to this concretely tend to stand out.

1. Walk me through your experience building backend services. What stack have you worked with most?
2. How do you handle sensitive or personally identifiable data in your applications?
3. Design a system that processes prescription orders reliably at scale.
4. Tell me about a bug that was difficult to reproduce. How did you track it down?
5. How do you ensure the reliability of an API that external systems depend on?
6. Describe a time you worked with incomplete or changing requirements. What did you do?
7. How would you design a database schema for a patient medication history system?
8. Tell me about a time you improved the performance of a slow system or query.
9. How do you approach testing? What types of tests do you write and why?
10. Describe a time you disagreed with a technical decision your team made. How did you handle it?
11. What does good code mean to you, and how do you approach reviewing a pull request?
12. How do you stay current with new technologies? Give a recent example.

Q: Tell me about a bug that was difficult to reproduce. How did you track it down?

*Situation:* At my previous company, a payment processing service intermittently failed for a small number of users. The error appeared in production logs but never in our test environment.

*Task:* I needed to find the root cause without being able to reliably trigger the bug, and fix it without disrupting live transactions.

*Action:* I added detailed structured logging around the payment flow and set up log aggregation to track patterns over several days of production traffic. I noticed the failures correlated with a specific third-party gateway returning a slightly different response format under high load. I wrote a mock that replicated that exact response variant and reproduced the bug locally, then added a defensive parsing layer and regression tests covering that edge case.

*Result:* The fix eliminated the failures entirely. We also added alerting to catch any future response format drift from that gateway early.

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Q: Tell me about a time you improved the performance of a slow system or query.

*Situation:* Our reporting dashboard at a previous job was very slow to load, and users were raising complaints every week.

*Task:* I owned the investigation and was asked to bring load time down to an acceptable level.

*Action:* I ran EXPLAIN on the SQL queries behind the dashboard and found two missing indexes and one query fetching far more rows than needed due to a missing WHERE clause. I added the indexes, rewrote the problematic query, and introduced a caching layer for data that changed only once a day. Each change was validated in a staging environment before going to production.

*Result:* Dashboard load time dropped dramatically. The team adopted a practice of reviewing query execution plans before merging any new reporting queries.

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Q: Describe a time you disagreed with a technical decision your team made. What did you do?

*Situation:* My team decided to skip integration tests for a new API layer due to time pressure before a release.

*Task:* I believed this was risky because the API would be consumed by an external partner, and I wanted to raise the concern without creating conflict.

*Action:* I documented my concerns in writing, describing the specific failure scenarios we were leaving uncovered. I proposed a compromise: a small set of contract tests covering the highest-risk paths, which I estimated would take less than a day. I brought this up at our next standup and offered to take on the work myself.

*Result:* The team agreed. We shipped with the contract tests in place, and one of them caught a breaking change during a later refactor before it reached the partner.

For system design questions: Start by clarifying requirements (read vs write heavy? consistency needs? expected scale?). Sketch the high-level components, then go deeper on whichever piece the interviewer focuses on. For OkRx, weave in data integrity, audit logs, and access control naturally since these matter in a healthcare context.

For behavioural questions: Use the STAR structure: Situation (brief context), Task (your responsibility), Action (what you specifically did, not 'we'), Result (concrete outcome). Keep Situation and Task short. Spend most of your time on Action.

For coding questions: Think out loud from the start. State the brute-force approach first, then optimise. Write clean, readable code rather than clever one-liners. After you have a solution, call out edge cases and how you would test it.

For 'how do you handle X' questions: Ground your answer in a real example. Abstract answers feel weak. Say 'In a past project, I...' and describe what you actually did and why.

OkRx operates in healthcare, and interviewers typically care about more than raw coding speed. Candidates report being evaluated on these qualities:

Correctness and reliability: Can you write code that handles edge cases? Do you think about failure modes? In healthcare software, a data error is not just a bug, it can be a compliance problem.

Security awareness: Do you understand the basics of protecting sensitive data? Interviewers at healthtech companies tend to probe for awareness of things like encryption at rest, access control, and not logging personally identifiable information.

Communication: Can you explain your reasoning to people who are not engineers? OkRx engineers often work alongside product and clinical teams, so clarity matters.

Ownership: Do your examples show that you followed through on problems, not just flagged them? Stories where you identified an issue, fixed it, and prevented recurrence score well.

Pragmatism: Do you understand when to build something robust vs. when to ship something simple and iterate? Startups value engineers who can reason about trade-offs honestly.

Week 1: Build your foundation

1. Research OkRx: read their website and any press coverage or blog posts to understand their core product and the problem they are solving in pharmacy and healthcare.
2. Review data structures and algorithms at the level expected in a standard coding round. Focus on arrays, hashmaps, trees, and graph traversal.
3. Practise writing SQL queries, especially for healthcare-style schemas such as patients, prescriptions, medications, and audit logs.
4. Write down a strong set of STAR stories from your past work covering: a tough bug, a performance improvement, a disagreement, a failure you learned from, and a project you drove end to end.
5. Review REST API design principles and common HTTP status codes.

Week 2: Deepen and simulate

1. Do a few mock system design sessions. Try designing a prescription order processing system and a notification service for medication reminders.
2. Practise solving coding problems under time pressure to simulate real interview conditions.
3. Review and trim your STAR stories. Each should take under two minutes to tell out loud.
4. Prepare a few thoughtful questions for your OkRx interviewers, for example about the tech stack, how the team handles incidents, or what success looks like in your first few months.
5. Do a full mock interview with a peer or on a practice platform if available.

If you are searching actively while prepping, knok checks 150+ job sites nightly, applies to roles that match your resume, and messages HR for you so your search keeps moving even during prep.

Skipping the domain context: Candidates who treat OkRx like a generic tech company and give generic answers tend to struggle. Interviewers notice when you have not thought about what it means to build software in healthcare.

Over-explaining obvious parts: Spending a long time explaining a basic loop wastes the interviewer's attention. Be concise on obvious parts and go deep on the interesting decisions.

Saying 'we' instead of 'I' in behavioural rounds: Interviewers are evaluating you, not your team. Be specific about what you personally did, decided, and drove.

Not asking clarifying questions in system design: Jumping straight into a solution without asking about scale, consistency requirements, or usage patterns is a red flag. Interviewers want to see your thought process before your solution.

Ignoring edge cases in code: A solution that works only for the happy path, with no mention of null inputs, empty arrays, or error conditions, signals inexperience. Always call out edge cases even if you do not code all of them.

Arriving without questions: Not having questions for the interviewer signals low interest. Prepare specific questions about OkRx's engineering challenges, not generic ones about 'culture'.