Amazon Software Development Engineer Interview

What this interview tests

• Distributed systems and scale tradeoffs — Postings on EBS Snapshots, AWS Serverless Storage, Athena, Invoicing, and OpenSearch all center on designing services that hold up under petabyte-scale data or global transaction volume, with explicit tradeoffs between performance, availability, durability, and cost.
• Core coding and language depth — Expect a hands-on coding round regardless of team - data structures, algorithms, and object-oriented design - with the language varying by team (Java is the common thread, alongside Python, C++, Rust, or Go depending on the posting).
• Leadership Principles behavioral interviewing — Nearly every posting in this family explicitly calls out Amazon's Leadership Principles - Ownership, Dive Deep, Bias for Action, Earn Trust show up by name - delivered in STAR-story format alongside the technical rounds.
• End-to-end ownership under ambiguity — Teams like Grocery Tech, Delivery Choice, and Smart Vehicles are building greenfield or fast-moving products, so interviewers probe how you turn a vague or shifting requirement into a shipped, tested feature without a spec handed to you.
• Domain-specific systems knowledge — Some postings carry a hard technical filter beyond general SDE skills - Kubernetes and accelerator tooling at Annapurna Labs, ROS/SLAM and real-time Linux for Amazon Robotics, DPDK/C++ networking for Global Accelerator, or an active TS/SCI clearance for the AWS Database Services government role.
• Cross-functional and mentoring signal — Several postings (AWS AI & Strategic Partner Engineering, SKG Team, OpenSearch) explicitly want evidence of mentoring SDE1s, driving design reviews, or working with product/program managers and partner teams, not just writing code solo.

Common question themes

Likely format

Most postings in this family describe the same shape: an online coding assessment or phone screen, followed by an onsite or virtual loop of roughly four to five rounds that mix coding, system design, and Leadership Principles behavioral interviews, typically closed out by a bar raiser. A few postings (Smart Vehicles, Ads AI Core Infra, ML Infra Services, AWS Invoicing) don't spell out the format at all, so treat the loop structure as a strong default rather than a guarantee for every team. Senior-level postings like AWS OpenSearch add more weight to architecture-leadership and mentoring questions within that same structure rather than changing the format itself.