Sr Engineer - Reliability Engineering & Enablement

Target•Brooklyn Park, NC

2d•Hybrid

About The Position

The pay range is $98,000.00 - $176,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits . About the Role 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 . As a Senior Engineer, you serve as a technical expert within the team, owning systems and delivering engineering solutions that power the product. You develop deep insight into system architecture and design, translating complex and ambiguous requirements into scalable, reliable solutions. You demonstrate your expertise through strong technical decision-making, ownership of systems in production, and influence on engineering practices. You will work as part of the Reliability Engineering & Enablement (REE) team, which builds and operates the platform, integrations, and data capabilities behind ServiceNow at Target. Our team focuses on improving reliability, enabling enterprise data access, and modernizing the platform into a scalable, event-driven, and AI-enabled ecosystem. This is a hands-on engineering role focused on designing and building backend services, integrations, and platform capabilities while improving system reliability and enabling long-term modernization. Core responsibilities are described within this job description. Job duties may change at any time due to business needs.

Requirements

4-year degree or equivalent experience
3–5+ years of software development experience
Strong proficiency in backend development (Golang, JavaScript, or similar)
Experience designing and building APIs and distributed systems
Ability to translate ambiguous requirements into technical designs and deliver solutions independently
Experience owning systems in production, including troubleshooting and reliability improvements
Strong understanding of system design tradeoffs (performance, scalability, maintainability)
Strong collaboration and communication skills, with ability to influence technical decisions

Nice To Haves

Experience with event-driven architectures or distributed systems
Experience with cloud platforms and data systems (e.g., GCP, databases, pipelines)
Familiarity with observability practices (SLOs, metrics, logging, tracing)
Experience modernizing legacy systems or integration-heavy platforms
Exposure to AI/automation workflows (e.g., MCP, agentic systems)
Experience with ServiceNow or enterprise platform integrations

Responsibilities

Design, build, and operate scalable backend services, APIs, and integrations
Own systems end-to-end, including design, implementation, deployment, and production support
Translate ambiguous platform and reliability requirements into clear technical solutions
Improve system reliability through observability, incident response, and proactive system improvements
Design and implement integration patterns (APIs, event-driven systems, data workflows)
Contribute to platform modernization efforts, including decoupling and service extraction
Participate in design reviews, code reviews, and influence engineering standards
Collaborate across teams to align solutions with broader platform and enterprise goals
Leverage modern engineering tools, including automation and AI-assisted development, where appropriate