Engineer Target India-8

Working at Target means helping all families discover the joy of everyday life. That purpose drives everything we buildespecially our technology. Our teams create scalable reliable systems that power meaningful guest and team member experiences.

About the Role
As an Engineer youll build the technology behind our productsfocusing on scalable backend systems modern engineering practices and emerging AI capabilities.
Youll work closely with your team to design build and improve services while balancing speed quality and reliability. Youll also contribute to code quality system design and day-to-day operations with a strong sense of ownership.

What Youll Do

• Build and improve backend services and microservices
• Work on distributed systems and data pipelines
• Design and develop APIs; contribute to full-stack integrations when needed
• Write clean maintainable and production-ready code
• Monitor systems troubleshoot issues and handle production support
• Participate in code reviews and design discussions to improve quality
• Explore and help evolve the GenAI/ML capabilities in applications

What Were Looking For

Basic Qualifications

• Bachelors degree in Computer Science or equivalent experience
• 24 years of relevant software engineering experience

Must-Have (Core Skills)

• Strong programming skills in one language (Python Java Kotlin or JavaScript/TypeScript)
• Solid understanding of:
  • APIs and microservices
  • Data structures and problem-solving
  • Basic system design and distributed systems concepts
• Experience with modern development practices (CI/CD version control testing)
• Ability to independently own and deliver features end-to-end
• Willingness to learn adapt and grow in a fast-paced environment

Good-to-Have (Differentiators)

• Experience with distributed data systems (Kafka Spark etc.)
• Hands-on with Docker Kubernetes or infrastructure-as-code tools
• Experience with SQL or NoSQL databases
• Exposure to frontend technologies (React TypeScript etc.)
• Experience working on production systems at scale

AI / ML Exposure (a strong plus):

• Working with LLM APIs prompt engineering
• Understanding of RAG embeddings or vector databases
• Familiarity with ML tools (MLflow Airflow etc.)
• Exposure to agent-based frameworks (LangChain AutoGen etc.)