Platform Engineer

Amazon · Robotics AI · Logistics & Warehouse Robotics · Python · JavaScript · Node JS · 7 days ago

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Salary

≈ $14k – $37k per year (Estimated)

Location

In office (Bengaluru)

Experience

4+ years exp

First seen by Alion on Oct 24, 2026. Amazon scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Amazon

Amazon is an American technology and retail conglomerate founded by Jeff Bezos in 1994 as an online bookstore and headquartered in Seattle, Washington. It operates the world's largest online marketplace together with a global logistics network, physical grocery stores and a third-party seller platform that accounts for most units sold. Amazon Web Services, launched in 2006, is the leading public cloud provider and generates the majority of the group's operating profit, while advertising, Prime Video, Alexa devices and Kuiper satellite broadband round out the business.

amazon.com · HQ: Seattle, United States · Robotics AI · Logistics & Warehouse Robotics · Video Production · Developer Tools · Advertising · Logistics · Streaming & OTT Platforms · Cloud Platforms (IaaS & PaaS) · Marketplaces · 1-10 employees · Est. 1994

Tech stack of Amazon

Backed by General Catalyst, Plug and Play, Kleiner Perkins

Requirements:

5+ years of experience in site reliability engineering, infrastructure engineering, or platform engineering.
Experience operating distributed production systems.
Experience with asynchronous processing systems and event-driven architectures.
Strong experience with cloud infrastructure such as AWS, GCP, or similar platforms.
Familiarity with containerised services and distributed worker systems.
Experience operating production databases and storage systems (PostgreSQL, MySQL, DynamoDB, Redis, or similar).
Experience building monitoring, alerting, and observability systems.
Experience working with infrastructure as code tools such as Terraform or Pulumi.
Experience defining service reliability targets such as SLIs, SLOs, and error budgets.
Experience handling incidents, running postmortems, and improving systems after production failures.
Ability to read and instrument application code (Python, Node.js, or similar).
Strong focus on reliability, operational clarity, and cost efficiency.

Nice to Have:

Experience operating large-scale workflow orchestration or distributed job systems.
Experience with AI or ML inference infrastructure.
Familiarity with mobile device cloud platforms.
Experience running high-concurrency systems.
Experience working in fast-moving engineering teams or startup environments.

Skills

AWS, GCP, Pulumi, Terraform, infrastructure, platform, site reliability

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