Site Reliability Engineer Interview Experience at Rippling – 2026

Rippling

Not Selected 4 rounds Jun 2026 Bengaluru (Hybrid)

Sameer Kulkarni

4-7 years · Experienced

AI-Reconstructed Composite

Reconstructed from candidate-reported Rippling interview structure (recruiter screen, technical phone screen with AI tools explicitly permitted, onsite rounds heavily weighted toward LLD and HLD design over pure infrastructure scenarios, high rejection rate specifically noted across public candidate reports) sourced from Glassdoor and other public interview-experience aggregators. SRE-specific accounts are less common than SWE ones at Rippling, so round content is a plausible composite grounded in Rippling's real reported LLD/HLD-heavy bar and documented low positive-experience rate rather than a single verified transcript.

Application Story

Candidates for this role typically apply online, often after a recruiter reaches out directly, for an SRE position supporting Rippling's core HR/IT/Finance platform infrastructure. The process generally runs a recruiter screen, a technical phone screen where AI coding tools are explicitly permitted, and two onsite rounds — a low-level design round and a system design round — before a decision is reached.

Preparation Journey

Heavy preparation on Kubernetes, Docker, and AWS fundamentals is the natural instinct given the SRE title, expecting a fairly standard infrastructure-focused loop. That expectation underestimates how much of Rippling's actual loop leans on low-level object-oriented design rather than infrastructure scenario questions specifically. LLD problems — class design, interface boundaries — deserve as much practice as infrastructure topics, since this reportedly holds across Rippling's engineering roles generally, not just SWE.

Why Selected / Rejected

The technical phone screen is generally a fairly standard coding problem with AI tools permitted, and being upfront about assistant use while narrating independent reasoning at each step tends to be well received. The low-level design round is where candidates commonly struggle — asked to design a class hierarchy for tracking employee record changes with an approval workflow, the design often doesn't hold up under follow-up questions about handling concurrent edits to the same record, since that case isn't designed for upfront and a version-check fix bolted on afterward reads as reactive rather than considered. A strong system design round afterward does not offset this; feedback in these cases indicates the LLD gap is disqualifying on its own regardless of how later rounds go.

Resume Tips

Don't assume an SRE-titled role at Rippling means the loop stays infrastructure-scenario-focused — a meaningful part of the bar, even for infrastructure roles, is genuinely strong low-level object-oriented design, not just system-level infrastructure thinking. Practice designing class hierarchies for concurrent-edit and workflow-approval scenarios specifically, since that's a real gap area candidates report across roles there.

01Round

EASY

Telephonic

30 minutes Remote

The recruiter screen covers current role and infrastructure ownership, with the loop's structure previewed upfront — both infrastructure-scenario and general software-design rounds are mentioned, without elaboration on the weighting between the two.

02Round

MEDIUM

Technical

60 minutes Remote

The coding round permits AI assistant tools explicitly, matching Rippling's reported policy for initial screening rounds. The problem asks candidates to implement a rate-limited task queue where tasks belonging to the same customer tenant must execute in submission order, but tasks from different tenants can execute concurrently. The expected approach uses AI tooling to help scaffold the initial queue structure while narrating independent reasoning throughout, particularly around why a per-tenant lock rather than a single global lock is necessary to allow real concurrency across tenants.

03Round

HARD

Technical

60 minutes Remote

Candidates are asked to design a class hierarchy for tracking changes to employee HR records that require manager approval before taking effect, including how to model a pending-versus-approved state for each field. A common initial design uses a single mutable record object with a separate pending-changes map. The interviewer typically pushes specifically on what happens if two managers try to approve conflicting changes to the same field concurrently — an answer that adds a version check after the fact tends to read as a patch rather than something designed to prevent the conflict from the start, and this is where the round most often breaks down.

04Round

HARD

System Design

60 minutes Remote

The prompt asks for the infrastructure to propagate an employee's HR status change (e.g. termination) across dependent systems (IT access provisioning, payroll, benefits) in a way that guarantees no system misses the update even if it's temporarily unavailable. A solid answer proposes an event-driven model with a durable message queue per downstream system and at-least-once delivery with idempotent consumers, specifically calling out that access-revocation on termination is the highest-consequence case and should have its own dead-letter alerting distinct from lower-stakes propagation like payroll updates.