
Netflix
Senior
Senior storage/infra engineer owning PowerScale and NetApp platforms for Netflix's content creation pipeline
This is a senior systems development engineer role on Netflix's Creative Compute and Storage team, owning the architecture, deployment, and lifecycle of large-scale, high-performance storage platforms (Dell PowerScale/OneFS, NetApp/ONTAP) that support content creation (post-production, animation, VFX) globally. It requires 5+ years operating and automating enterprise storage at scale plus strong Terraform/infrastructure-as-code skills.
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What this interview tests
- Enterprise storage platform ownership at scale: Dell PowerScale/OneFS and NetApp/ONTAP
- File, block, and object storage administration: SMB/NFS, snapshots, replication, tiering, quotas, performance tuning
- Infrastructure-as-code with Terraform: modules, state management, provider design for storage automation
- Observability for storage fleets: metrics, logging, tracing, capacity/performance dashboards, proactive alerting
- Storage migrations, upgrades, and troubleshooting with reliability as the top priority
- Translating content-creation workflow needs (post-production, animation, VFX) into infrastructure solutions
Common question themes
Walk through architecting and automating provisioning for a high-performance storage platform with Terraform
Describe tuning or troubleshooting a PowerScale or ONTAP deployment under real production load
How would you build observability into a storage fleet so problems surface before they hit end users
Tell me about a storage migration or upgrade — what was your validation and rollback strategy
How do you decide between file, block, and object storage for a given creative workload
Give an example of dissecting a large infrastructure system into components you optimized individually and together
How candidates describe it
Real Systems Development Engineer 5 - Creative Compute and Storage interview stories — retold from candidates' public write-ups, with sources.
LinkedIn SDE Phone Screen: Projects, DynamoDB, and Long Pressed Name
A candidate applying broadly for SDE roles in December 2024 went through a LinkedIn phone screen that opened with project questions, including a DynamoDB tradeoffs discussion, before moving into a single coding problem (Long Pressed Name). The candidate was rejected and wrote up a self-review pointing to weak project answers, messy code, and missed edge cases as the likely causes.
Interviewed December 2024 · Not specified
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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