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Senior Integration Engineer (Crew Manager / AWS Serverless) - ( Hybrid)

Tranzeal · Bengaluru, KA · Hybrid

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Senior Integration Engineer (Crew Manager / AWS Serverless) - ( Hybrid) at Tranzeal. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Job Title

Senior Integration Engineer (Crew Manager / AWS Serverless)

Experience

7–10 Years

Location

Devanahalli, Bengaluru ( Hybrid)

Shift

Night Shift (Aligned to Eastern Time zone)

Salary

25 - 35 LPA

Hike

Up to 20% on current CTC

Notice Period

Immediate to 15 days preferred

Job Overview

We are looking for a highly skilled Senior Integration Engineer with strong expertise in Crew

Manager software and modern cloud-based integration technologies. The ideal candidate will

play a key role in designing and developing integration solutions between internal systems and

customer data platforms.

Key Responsibilities

 Design and develop integration solutions between Crew Manager (CM) APIs and

customer data lakes

 Build scalable and reliable integration pipelines using modern cloud technologies

 Work closely with cross-functional teams to integrate homegrown systems with data

platforms

 Develop, test, and deploy serverless applications on AWS

 Ensure high performance, data accuracy, and system reliability

 Continuously enhance integration frameworks as new mandates are introduced

Required Skills & Qualifications

 7–10 years of experience as a Software Engineer / Integration Engineer

 Strong understanding of Crew Manager software (MANDATORY)

 Hands-on experience with IntHub Tech Stack

 Expertise in Terraform (Terragrunt preferred) – Key Skill

 Strong programming skills in Python (v3.9+)

 Experience with AWS Serverless Architecture, including

o Lambda

o SQS

o SNS

o EventBridge Scheduler

o S3

 Solid experience in SQL (Microsoft SQL Server)

 Working knowledge of Amazon DynamoDB

 Experience in building API-based integrations

 Opportunity to work on multiple integration mandates across systems and data lakes

Skills

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