navi Security Engineer Interview: Questions, Experience & Prep (2026)

Navi is a Bangalore-based fintech company offering personal loans, home loans, health insurance, and UPI payments through its app. As of mid-2026, Navi has 60 open roles, a signal that the company is actively scaling its engineering and product teams. Security Engineers at Navi typically work on protecting customer financial data, securing APIs that handle loan disbursals and insurance claims, and ensuring compliance with RBI and IRDAI guidelines.

Because Navi is mobile-first and serves retail customers at scale, the security surface is broad: Android app security, backend API protection, cloud infrastructure hardening, and fraud detection all overlap. Candidates report interviews spanning both hands-on technical depth (think: 'walk me through how you would secure our payments API') and product security thinking ('how would you threat-model our loan onboarding flow').

Navi is part of a busy Security Engineer hiring market in India. knok's jobradar found 628 Security Engineer openings across the country as of July 2026, with Bangalore alone accounting for 69 of them, reflecting how concentrated this role is in India's tech capital.

Candidates who have interviewed at Navi for Security Engineer roles typically see questions in three clusters: fintech-specific security, hands-on technical depth, and security process and culture. Here are the questions that come up most often:

1. Navi handles personal loan and insurance data for millions of users. Walk us through how you would design a data classification policy and enforce access controls for this data.
2. How would you threat-model Navi's mobile loan application, and what are the top three threats you would prioritise?
3. Explain how you would secure a REST API that handles loan disbursals, from authentication to rate limiting to logging.
4. Navi operates under RBI guidelines. What security controls are directly tied to RBI's IT framework, and how have you implemented any of them?
5. Describe your experience with VAPT (Vulnerability Assessment and Penetration Testing). What tools do you use, and how do you prioritise findings for a product team?
6. A junior developer has committed an API key to a public GitHub repository. Walk us through your incident response steps.
7. How would you build a security champions programme inside an engineering org where developers are moving fast and security is seen as a bottleneck?
8. Navi uses cloud infrastructure at scale. How would you approach a cloud security posture review, and what are the first misconfigurations you look for?
9. Explain the difference between SAST, DAST, and SCA. How would you integrate all three into a CI/CD pipeline without slowing deployments?
10. How do you approach Android application security testing for a fintech app, given that users may be on rooted devices?
11. What is your approach to secrets management in a microservices environment, and which tools have you used?
12. Describe a time when you found a critical vulnerability in a production system. What did you do, and how did you communicate the risk to non-technical stakeholders?

Q: A junior developer has committed an API key to a public GitHub repository. Walk us through your incident response steps.

*Situation:* At my previous company, a developer accidentally pushed a live AWS access key to a public repo as part of a sample config file. The key had broad S3 read and write permissions.

*Task:* I was the on-call security engineer and needed to contain the exposure, assess any impact, and prevent recurrence, all within the shortest possible window.

*Action:* I immediately rotated and revoked the key in AWS IAM, then pulled the CloudTrail logs for the previous day to check for any unauthorised access to S3 buckets. I used GitHub's secret scanning alerts to confirm the exposure window and filed an internal P1 incident ticket. I worked with the developer to scrub the key from git history using git-filter-repo and force-pushed to the repository. I then set up AWS Secrets Manager for all new credentials and added a pre-commit hook running truffleHog to catch secrets before they are pushed.

*Result:* No data was exfiltrated. The key was live for under two hours before rotation. We rolled out the pre-commit hook across all repositories within a week, and zero similar incidents occurred in the following quarter.

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Q: How would you threat-model Navi's mobile loan application?

*Situation:* In a previous role at a digital lending startup, I led a threat modelling exercise for our loan origination mobile app before a major feature launch.

*Task:* I needed to identify the highest-risk attack surfaces and produce a prioritised list of mitigations for the product and engineering teams.

*Action:* I used the STRIDE framework and ran a two-day workshop with the mobile dev, backend, and product teams. We mapped every data flow: user submits KYC documents, backend calls a bureau API, decision engine returns a loan offer, disbursal hits the user's bank account. For each flow I identified spoofing, tampering, and information disclosure risks. The top findings were: lack of certificate pinning on the mobile client, bureau API responses not validated for schema integrity, and admin endpoints accessible without MFA. I documented each finding with a severity rating and a recommended fix.

*Result:* The team fixed certificate pinning and MFA gaps before the launch. The bureau API schema validation was added in the sprint after release. No critical findings were carried into production.

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Q: How would you build a security champions programme in a fast-moving engineering org?

*Situation:* At a previous company, the security team was two engineers supporting a large developer organisation. Security reviews were a bottleneck and developers resented them.

*Task:* I was asked to reduce the review backlog and build a culture where security was 'everyone's job'.

*Action:* I identified one engineer per squad who showed interest in security and invited them to a monthly 'Security Guild' call. I created a simple wiki with secure coding guidelines tailored to our stack (Node.js and Python). Each champion got access to a shared Burp Suite licence and a short training on OWASP Top 10. Champions started reviewing PRs for security issues before they reached the central team. I tracked the number of issues caught in PR review versus production and shared a monthly dashboard with the engineering VP.

*Result:* Over two quarters, the central security review queue dropped by roughly half. Three champions later moved into dedicated security roles. The programme became a standard part of our engineering onboarding.

Use STAR for behavioural questions. Every 'tell me about a time' question deserves a Situation (one sentence of context), Task (what you were responsible for), Action (what you specifically did, step by step), and Result (a concrete outcome). Navi interviewers care about the Action and Result most: be specific about tools, commands, and decisions you personally made.

Use 'attack surface, threat, control' for technical questions. When asked to secure anything, name the attack surface first, then the realistic threats against it, then the controls you would apply. This shows structured thinking instead of a random list of tools.

Use 'impact, likelihood, effort' for prioritisation questions. When asked how you would triage VAPT findings or a bug bounty report, walk through impact to the business (financial data exposed? regulatory fine?), likelihood of exploitation, and engineering effort to fix. Fintech interviewers respect this framing because it maps to their own risk language.

Use 'detect, contain, eradicate, recover' for incident response questions. This is the standard IR lifecycle and Navi will expect you to know it. Add 'lessons learned' as a fifth step to show maturity.

Acknowledge the compliance context. For any question touching data handling, mention RBI's IT and cybersecurity framework or PCI-DSS if payments are involved. You do not need to quote specific circular numbers, but showing awareness that fintech security is regulated earns points.

Fintech context, not just textbook security. Navi's interviewers want to see that you understand why security matters in a lending and insurance product: customer PII, financial transactions, bureau integrations, and regulatory audits. Generic answers about 'hardening servers' land flat without that context.

Hands-on tool fluency. Candidates who can name specific tools (Burp Suite, Nuclei, Semgrep, AWS SecurityHub, Falco, truffleHog) and explain when to use each signal real experience. Candidates who speak only in concepts raise doubts.

Developer empathy. Navi moves fast. Interviewers want engineers who see developers as partners, not adversaries. Phrases like 'I worked with the team to' or 'I made it easy for them to do the right thing' resonate more than 'I blocked the release'.

Communication across levels. Security Engineers at Navi interact with developers, product managers, and leadership. You will likely be asked to explain a risk to a non-technical stakeholder. Practise translating a technical finding into business impact language: instead of 'SQL injection in the loan calculator endpoint', say 'a malicious user could read loan applications belonging to other customers'.

Ownership mindset. Navi is a startup environment. Interviewers watch for candidates who say 'I did X' rather than 'the team did X'. They want someone who will drive initiatives, not wait to be told what to secure.

Week 1: Know Navi's product and threat landscape. Read about Navi's core products: personal loans, home loans, UPI, and health insurance. Map the data flows yourself. Where does PII sit? Where does money move? What third-party integrations are likely (credit bureaus, payment gateways, insurance regulators)? This shapes your threat models during the interview.

Week 2: Revise your core technical topics. Focus on OWASP Top 10 for APIs (not just the web list), Android application security (SSL pinning, root detection, storage security), cloud security posture management on AWS or GCP, and secrets management patterns. Read the RBI Cybersecurity Framework for banks and NBFCs at a high level so you can reference it naturally.

Week 3: Practise STAR stories. Write out five stories from your experience: a vulnerability you found, an incident you handled, a process you improved, a time you influenced a non-security stakeholder, and a time you had to push back on a product decision for security reasons. Practise saying each one out loud in under two minutes.

Before the interview: Review Navi's engineering blog if one is available, check LinkedIn for current team members to understand the stack they use, and prepare two or three questions to ask your interviewers. Good questions: 'What does the security review process look like today and where are the biggest gaps?' and 'How does the security team collaborate with product squads during sprint planning?'

If you are still actively looking for roles, knok checks 150+ job sites nightly, applies to jobs matching your resume, and messages HR for you, so you can focus on interview prep while knok handles the search.

Giving textbook answers with no product context. Saying 'I would implement MFA' without connecting it to Navi's specific flows (customer login, admin portals, bureau API access) sounds generic. Always tie controls to the actual business.

Overselling tools without explaining decisions. Listing every tool you have touched sounds impressive, but interviewers probe further. If you mention Burp Suite, be ready to walk through a specific finding you made with it.

Ignoring the regulatory layer. Many candidates discuss security in a vacuum. For a fintech role, skipping RBI or PCI-DSS compliance context signals that you have not worked in a regulated environment.

Treating developers as the enemy. Any answer that frames developers negatively ('they never care about security') is a red flag for Navi's collaborative engineering culture. Show that you build trust and make security accessible.

Not having a clear incident response sequence. Candidates sometimes ramble through IR questions. Practise a clean detect, contain, eradicate, recover, and lessons-learned structure before your interview.

Skipping the result in STAR answers. Many candidates describe what they did but forget to say what happened. Interviewers at product companies want outcomes: did the vulnerability get fixed? Did the incident get contained? Did the process improve?