Sr. Engineer - Cloud and Compute Platform Teams

As a Senior Engineer , you serve as a specialist in the engineering team that supports the product. You help develop and gain insight in the application architecture. You can distill an abstract architecture into concrete design and influence the implementation. You show expertise in applying the appropriate software engineering patterns to build robust and scalable systems. You are an expert in programming and apply your skills in developing the product. You have the skills to 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. You show good problem solving skills and can help the team in triaging operational issues. You leverage your expertise in eliminating repeat occurrences., * 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
• Writes and organizes code using multiple computer languages, including distributed programming and understand different frameworks and paradigm
• Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency)
• Influences and applies data standards, policies, and procedures
• Maintains technical knowledge within areas of expertise
• Stays current with new and evolving technologies via formal training and self-directed education

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here (https://corporate.target.com/about) ., 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.