Senior Engineer, Cloud and Compute Platform
Target
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 96% of similar roles. Most pay $145,000–$233,687 — the shaded band above. At the midpoint, this role pays about $106k versus about $189k for comparable roles.
Based on 240 similar postings.
Employer
Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail
Target currently has 58 open roles on FindRole.
Listed pay typically runs $98,000–$176,000 across 58 roles with salary data.
Most-posted roles
View all roles at TargetAt a glance
Engineer – Cloud and Compute Platform Teams joins the Cloud & Compute organization to build and operate foundational platforms powering retail technology. This role involves designing, automating, scaling, and evolving cloud-native infrastructure, reliability practices, and developer-facing capabilities. You will solve complex distributed systems and platform engineering challenges while creating secure, resilient, and self-service solutions for internal teams. Day-to-day responsibilities include developing robust software components, performing code reviews, and collaborating with product, engineering, and security teams to improve automation and observability. Required skills include proficiency in at least one programming language such as Java, Go, Python, TypeScript, or JavaScript. You must possess a foundational understanding of data structures, debugging, testing, version control, and distributed systems concepts including APIs, containers, Kubernetes, networking, storage, messaging/streaming, and site reliability engineering to ensure high performance and availability across the platform.
What does a Engineer earn?
Median $185000 from 249 postings across 48 companies.
Skills
What you'll do
What we're looking for
Related searches
More like this
Target
Target
Adobe
Abbott
Q2
Datadog