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AWS Backend Engineer

Job in 411001, Pune, Maharashtra, India
Listing for: L&T Technology Services
Full Time position
Listed on 2026-02-04
Job specializations:
  • IT/Tech
    Database Administrator, Data Engineer, Cloud Computing, AWS
Job Description & How to Apply Below
Job Description – Backend / Database Engineer

Experience:

5–7 Years

Location:

Pune

Employment Type:

Full Time

Role Overview :
We are looking for an experienced  Backend / Database Engineer  with strong expertise in  Postgre

SQL ,  AWS cloud services , and  serverless architectures . The ideal candidate will have deep understanding of database internals, cloud-native database engines, and hands-on experience with  AWS Lambda ,  Node.js , and  No

SQL technologies .

Key Responsibilities:

Design, develop, and maintain highly available and scalable backend systems.
Perform  data modeling  and manage relational and No

SQL databases.
Optimize database queries and improve application performance.
Work closely with Dev Ops and cross-functional teams in an  Agile environment.
Develop and maintain serverless APIs using  AWS Lambda and Node.js.
Ensure application  resiliency, security, and CI/CD best practices.
Manage source control and collaborate using Git/Bitbucket.

Required Technical Skills
Strong knowledge of  Postgre

SQL internals  and its different offerings.
Fair working knowledge of  MySQL.
Expertise in  Data Modeling.
Deep understanding of  cloud-based database engines , preferably  AWS Aurora.
Proven experience in  database query optimization and performance tuning.
Hands-on experience with  AWS services , especially  Lambda.
Working knowledge of  Node.js for Lambda/API development.

Experience with  Agile methodologies , CI/CD pipelines, application resiliency, and security.
Working knowledge of  Git / Bitbucket.

Experience with  No

SQL databases , preferably  Amazon Dynamo

DB.

Skills & Expertise
Backend Development
Relational & No

SQL Databases
Cloud-Native Architecture (AWS)
Serverless Computing
Performance Optimization
Agile & Dev Ops Practices
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