Engineer - Target India-8
Target is seeking an engineer to build and improve scalable backend services and microservices for their retail platform. The role involves designing APIs, managing distributed systems, and collaborating on production-ready code with a focus on system reliability. Candidates should have experience with modern development practices and a willingness to contribute to AI/ML application evolution. This position offers the opportunity to work at scale within a global engineering organization.
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Experience
2-4 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 1
What you will work on
Target is seeking an engineer to build and improve scalable backend services and microservices for their retail platform. The role involves designing APIs, managing distributed systems, and collaborating on production-ready code with a focus on system reliability. Candidates should have experience with modern development practices and a willingness to contribute to AI/ML application evolution. This position offers the opportunity to work at scale within a global engineering organization.
TAL's take
Tier-1 global company with a clear and well-scoped role for a mid-level software engineer.
The JD provides a crisp, coherent list of responsibilities and technical expectations appropriate for an engineering role at this level.
Salaries at Target
29.1 LPA average
Based on 104 Grapevine salary entries for Target.
Engineering
2 - 4 years | L4
20 LPA average
Range: 5 - 50 LPA
Engineering
4 - 6 years | L4
23 LPA average
Range: 7 - 34 LPA
Engineering
6 - 8 years | L5
39 LPA average
Range: 37 - 42 LPA
Engineering
10 - 12 years | L5
38 LPA average
Range: 38 - 38 LPA
Must haves
- Bachelor’s degree in Computer Science or equivalent
- 2–4 years of relevant software engineering experience
- Strong programming skills in Python, Java, Kotlin, or JavaScript/TypeScript
- Solid understanding of APIs and microservices
- Experience with modern development practices (CI/CD, version control, testing)
- Ability to independently own and deliver features end-to-end
Tools and skills
Nice to have: kafka, spark, docker, kubernetes, infrastructure-as-code, sql, nosql, react, llm apis, prompt engineering, rag, embeddings, vector databases, mlflow, airflow, langchain, autogen.
About the company
Global retail giant with a well-established and significant technology and engineering presence in India.
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