AWS Engineer

Weekday AI Open · verified Oct 24, 2026

On-site Bengaluru Full-time Mid-level Cloud

At a glance

Mid-level Cloud role at Weekday AI. Bengaluru · full-time.

Pay not stated Cloud salary

RoleCloud

SeniorityMid-level

LocationBengaluru

WorkplaceOn-site

EmploymentFull-time

PostedSep 17, 2026 · 5w ago

Role brief

devopsroles summary, based on the employer's posting.

What you'll do

Build and release applications on AWS, keeping them scalable, secure and responsive
Connect REST APIs and microservices, using Lambda, API Gateway and Step Functions for serverless work
Create event-driven services with SQS, SNS and EventBridge, backed by DynamoDB, RDS or Aurora
Set up delivery pipelines, monitor services in CloudWatch and resolve production problems
Test and debug code, review teammates’ changes, document technical decisions and work across delivery teams

What you bring

At least two years of experience
Hands-on ability with AWS Lambda, AWS S3 and NodeJS

Who this fits

This mid-level, full-time role is based on-site in Bengaluru. It suits an AWS engineer who can build and support cloud applications and work with architects, DevOps, QA and business stakeholders.

From the employer

This role is for one of Weekday’s clients
Salary range: Rs 700000 - Rs 1400000 (ie INR 7 - 14 LPA)

Min Experience: 2+ years
Location: Bengaluru
JobType: full-time

Requirements

Key Responsibilities

Design, develop, and deploy applications using AWS cloud services.
Develop and maintain scalable, secure, and high-performance cloud applications.
Build and integrate REST APIs and microservices.
Work with serverless technologies such as AWS Lambda, API Gateway, and Step Functions.
Develop event-driven applications using Amazon SQS, SNS, and EventBridge.
Work with databases such as DynamoDB, RDS, and Aurora.
Implement cloud security using IAM, KMS, Secrets Manager, and security best practices.
Develop and maintain CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, or Jenkins/GitHub Actions.
Monitor applications using CloudWatch and troubleshoot production issues.
Write unit tests, perform debugging, and ensure code quality.
Collaborate with architects, DevOps engineers, QA teams, and business stakeholders.
Participate in code reviews and contribute to technical documentation.