Sr. Engineer- Backend

Job description

Pyramid Overview:

Our Product Engineering teams fuel Targets business with cutting-edge technology to deliver incredible experiences and value for guests and team members. Using a responsive architecture platform, we build and deploy industry-leading technology enabling Target to operate efficiently, securely, and reliably from the inside out.

We work across Target, developing comprehensive product strategies, leveraging enterprise and guest feedback to set the standard for best in retail.

Position Overview:

• 4+ years of experience in software design & development with 3+ years of experience in building scalable backend applications using Java
• Demonstrates broad and deep expertise in Java/Kotlin and frameworks. Designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure.
• Communicates and coordinates with project team, partners, and stakeholders.
• Demonstrates expertise in analysis and optimization of systems capacity, performance, and operational health.
• Maintains deep technical knowledge within areas of expertise.
• Stays current with new and evolving technologies via formal training and self-directed education.
• Experience integrating with third party and opensource frameworks.

About You:

• 4 year degree or equivalent experience
• Experience: 4 -7 years
• Programming experience with Java - Springboot & Kotlin - micronaut
• Strong problem-solving skills with a good understanding of data structures and algorithms.
• Must have exposure to non-relational databases like MongoDB.
• Must have exposure to distributed systems and microservice architecture.
• Good to Have exposure to Data Pipeline, ML Ops, Spark, Python
• 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.