Infosys CI/CD, Release Engineering & GitOps interview questions

The fetch and pull half is a warm-up. The rebase half is where candidates either show they understand that rebasing rewrites commits or reveal that they have only ever followed instructions.

A question about developer experience as much as engineering. Measure before optimising, and notice that the trust problem and the duration problem may have different causes.

Testing is a pipeline design problem in this role, not a QA one. The constraint is the question: you cannot run everything on every commit, so what you choose to defer is the answer.

Most candidates narrate the YAML. The scoring starts underneath: who schedules what, where artifacts live between jobs, and why disposable runners rewrite how you think about caching and trust.

One Application declaring others sounds like trivia until you need to rebuild a cluster in an afternoon or hand a team a bounded slice of the platform. Here is when the pattern earns its keep, and when ApplicationSet should replace it.

Queueing during release week is rarely bad luck. Diagnosis takes a minute once you know the three failure shapes, and the durable fix treats agents as cattle with labels and lifespans.

Same commit, different dependency trees: the vocabulary answer is lockfiles, the practitioner answer includes frozen installs, integrity hashes and pinned toolchains.

Staging is a snowflake maintained by accretion. Rank drift sources by risk, shrink them mechanically with parity by construction, and stop calling staging the last line of defence.

Hooks must finish in seconds or developers bypass them, and a bypassed hook protects nothing. Budget feedback latency numerically and split checks by authority and hermeticity.

Central pipeline logic fails two ways: forked copies that drift, or a platform team queue every change must wait behind. Versioned templates with pinned consumers and declared hooks avoid both.

The interviewer does not want the three definitions. They want a decision, the number that justifies it, and what you do when the canary looks fine for nine minutes and then does not.

The deployment question that has a real answer and a real trap. Code and schema deploy at different speeds, and any step where they must change together is the step that causes the outage.

A question where both answers are defensible and the reasoning is the entire score. The operational consequences are concrete: what happens when a shared library needs a security patch.

The security argument for GitOps is more specific than 'Git is the source of truth'. Pull deployment can remove cluster credentials from CI, and that single fact is most of the case.

Self-heal did exactly what it was configured to do. The senior answer is not switching it off; it is designing the Git path and the sync order so nobody bypasses the system at 3am again.

A vocabulary check with a trap inside it. Strict semantic versions bind libraries and SDKs; continuously deployed services play a different game, and pretending otherwise signals inexperience.