Sr. Engineer – Cloud and Compute Platform Teams

Target•Brooklyn Park, MN

7d•$98,000 - $176,000•Hybrid

About The Position

Target’s Cloud & Compute organization builds and operates the foundational platforms that power the experiences our guests, team members, partners, and engineers rely on every day. We are looking for engineers to help design, automate, scale, and evolve the cloud-native infrastructure, reliability practices, and developer-facing capabilities behind modern retail technology. Depending on the team, you may work across Kubernetes and container platforms, compute and storage, Kafka and data movement, observability, cloud management, site reliability engineering, or the cloud console experiences that make our platforms easier and safer to use. In this role, you will solve complex distributed systems and platform engineering challenges while creating secure, resilient, and self-service solutions that enable teams across Target to move faster with confidence. You will collaborate with product, engineering, and security to build reliable services, improve automation, define operational standards, strengthen observability, support production readiness, and continuously raise the bar for performance, availability, efficiency, and user experience. If you enjoy building platforms that serve many teams, operating systems at scale, learning across technical domains, and turning complex infrastructure into simple, dependable experiences, this is an opportunity to make a broad impact across Target Technology. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

Requirements

4 year degree or equivalent experience
5+ years of software development experience
Strong proficiency in one or more general-purpose programming languages such as Java, Go, Python, TypeScript, JavaScript, Kotlin, or similar
Experience designing, building, and operating scalable, reliable, and secure distributed systems, cloud platforms, infrastructure services, or developer-facing tools
Hands-on experience in one or more cloud-native or platform engineering domains such as Kubernetes, containers, compute, storage, networking, messaging or streaming platforms, observability, SRE, cloud management, platform AI, APIs, or web-based console development
Demonstrated ability to deliver high-quality technical solutions with consideration for performance, availability, latency, scalability, security, maintainability, and cost efficiency.
Builds strong commitment within the team to support the appropriate team priorities
Clearly communicates Agile concepts to partners within product team
Demonstrates a solid understanding of the impact of own work on the team and/or guests

Responsibilities

Serve as a specialist in the engineering team that supports the product.
Develop and gain insight in the application architecture.
Distill an abstract architecture into concrete design and influence the implementation.
Apply appropriate software engineering patterns to build robust and scalable systems.
Design and implement the architecture on your own, but choose to influence your fellow engineers by proposing software designs, providing feedback on software designs and/or implementation.
Show good problem solving skills and can help the team in triaging operational issues.
Leverage expertise in eliminating repeat occurrences.
Design, automate, scale, and evolve the cloud-native infrastructure, reliability practices, and developer-facing capabilities behind modern retail technology.
Work across Kubernetes and container platforms, compute and storage, Kafka and data movement, observability, cloud management, site reliability engineering, or the cloud console experiences.
Solve complex distributed systems and platform engineering challenges while creating secure, resilient, and self-service solutions.
Collaborate with product, engineering, and security to build reliable services, improve automation, define operational standards, strengthen observability, support production readiness, and continuously raise the bar for performance, availability, efficiency, and user experience.
Build platforms that serve many teams, operate systems at scale, learn across technical domains, and turn complex infrastructure into simple, dependable experiences.
Write and organize code using multiple computer languages, including distributed programming and understand different frameworks and paradigms.
Deliver high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency).
Influence and apply data standards, policies, and procedures.
Maintain technical knowledge within areas of expertise.
Stay current with new and evolving technologies via formal training and self-directed education.