Senior Engineer - Database Experience Platform

Target Brands, Inc.
Minneapolis, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 176K

Job location

Minneapolis, United States of America

Tech stack

Java
Adobe InDesign
Automation of Tests
Code Review
Databases
Data Infrastructure
Relational Databases
Database Schema
Distributed Systems
Elasticsearch
Gradle
Design of User Interfaces
Groovy
Hibernate
Java Persistence API
Java Virtual Machine (JVM)
PostgreSQL
MongoDB
NoSQL
PVCS Version Manager
Redis
Software Engineering
TypeScript
Management of Software Versions
Virtual Machines
Google Cloud Platform
Cloud Platform System
React
Grafana
Spring-boot
Spock
Backend
Build Management
Kubernetes
Cassandra
Kafka
Api Design
REST
Dynatrace

Job description

As a Senior Engineer on the Database Experience (DBX) team, you will own and evolve the platform that powers managed database infrastructure for hundreds of engineering teams across Target. The DBX platform manages multiple RDBMS and NoSQL database technologies across on-prem Virtual Machines, Kubernetes, and GCP.

You will work across the platform's core backend services - workflow automation, inventory, and lifecycle orchestration. Core responsibilities are described within this job description. Job duties may change at any time due to business needs.

Core Responsibilities

  • Design, build, and operate scalable backend services that drive database lifecycle automation - provisioning, upgrades, HA conversion, snapshots, and decommission.
  • Own systems end-to-end: design, implementation, deployment, and production support.
  • Build and evolve durable Temporal workflows, including correctness, replay safety, and versioning for in-flight migrations.
  • Contribute to platform modernization - migrating legacy automation to Temporal and integrating with next-generation infrastructure platforms.
  • Maintain and support CI/CD pipelines, including build configuration and test automation
  • Participate in design and code reviews; influence engineering standards and technical direction.
  • Triage operational issues, improve observability, and eliminate repeat occurrences.
  • Collaborate with DBAs, platform engineers, and product stakeholders to translate operational requirements into reliable, scalable solutions.

Requirements

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 ., Required

  • 4-year degree or equivalent experience
  • 5+ years of backend software engineering
  • Strong proficiency in Java/Spring Boot or similar JVM frameworks
  • Experience designing and building REST APIs and distributed systems
  • Proven ability to own systems in production, including troubleshooting and reliability improvements
  • Strong collaboration and communication skills

Helpful But Not Required

  • Production Temporal experience - workflow versioning and replay determinism
  • Familiarity with API-driven automation
  • Understanding of infrastructure performance and topology concerns relevant to stateful database workloads
  • Experience in creating and supporting UI/UX for internal platforms, including React/TypeScript and design systems
  • Kafka producer/consumer patterns
  • JPA/Hibernate database schema design
  • Spock/Groovy testing
  • Kubernetes familiarity (StatefulSets, PVCs, pod disruption budgets)
  • Observability practices - metrics, distributed tracing, SLOs

Technologies

Java · Spring Boot · Temporal · Apache Kafka · JPA/Hibernate · Flyway · PostgreSQL · Cassandra · MongoDB · Redis · ElasticSearch · Kubernetes · GCP · Gradle · Vela CI · Micrometer/Grafana

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