
Senior
Build Reddit's LLM Gateway and GenAI platform infrastructure at scale
Interview for a Senior Software Engineer role on Reddit's Machine Learning Platform team, leading development of a large-scale GenAI Platform including an LLM Gateway with unified API endpoints, rate/token limiting, and failover. Expect deep questions on RAG systems, agentic workflows with LangChain/LangGraph, and LLMOps practices at Kubernetes scale.
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What this interview tests
- LLM Gateway design (unified endpoints, rate limiting, failover)
- RAG systems (embeddings, vector search, retrieval pipelines)
- Agentic workflows with LangChain/LangGraph
- LLMOps/MLOps practices (CI/CD, versioning, evaluation, observability)
- Kubernetes and infrastructure-as-code at scale (Terraform)
- Platform thinking and cross-team enablement
Common question themes
Design an LLM Gateway with failover across multiple providers
Walk through a RAG pipeline you built and how you evaluated retrieval quality
Describe an agentic workflow you implemented with LangChain or LangGraph and a failure mode you hit
How do you operationalize LLMOps practices for a GenAI pipeline in production
How have you scaled ML infrastructure on Kubernetes with Terraform
How do you design a platform that other engineering teams can self-serve on
How candidates describe it
Real Senior Software Engineer interview stories — retold from candidates' public write-ups, with sources.
Bloomberg Senior Software Engineer Interview: Five Rounds, Offer
A Senior Software Engineer candidate applied to Bloomberg's London office through the company's careers site and, after an initial screen, went through five separate on-site conversations covering coding, system design, a recruiter chat, and a hiring-manager round, ultimately accepting an offer.
Interviewed October 2022 · London, United Kingdom
Google · L3 Software EngineerOfferGoogle L3 software engineer interview: phone screen, four coding rounds, and the Googleyness round
A candidate with two years of experience went from recruiter outreach to offer over about four months. The onsite was four 45-minute coding rounds — three of them featuring binary trees — and one round turned into a 25-minute chain of follow-ups about approximating an optimal solution at scale.
Interviewed June 2020 · Bangalore, IN
Google · L4 Software EngineerNo offerGoogle L4 Software Engineer Interview: Eight Rounds, No Offer
An L4 Software Engineer candidate went through two phone screens, three onsite rounds, a culture conversation, and a team-matching call with a Google hiring manager, then watched the process stall for about a month and a half over a tightened experience requirement before an added extended round ended without an offer.
Interviewed February 2024 · Not specified
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