
Senior Integration Engineer (Crew Manager / AWS Serverless) - ( Hybrid)
Tranzeal · Bengaluru, KA · Hybrid
Weak hiring record · median 69 days open
All reasons
- Open 181 days
In its favour
- Still listed on the employer's own board
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
- AWS
- Serverless
- Terraform
- Terragrunt
- Python
- AWS Lambda
- AWS SQS
- AWS SNS
- AWS EventBridge
- S3
- SQL
- SQL Server
- DynamoDB
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