MAP Support Engineer – 2 months onsite, then remote

3 years

3 - 7 Lacs

Posted:3 hours ago| Platform: GlassDoor logo

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Work Mode

Remote

Job Type

Part Time

Job Description

Role - MAP (Managed Airflow Platform) Support Engineer
Exp - 3 -5 Years
Budget -70K + 1500 Per day (Night shift allowance)
Shift - Night Shift / Day
Location: Bengaluru (Initial 2 months WFO, then Remote)
Mandatory Skills - AWS - Cloud platform, Apache Airflow, Python & Kubernetes with Good communication.
NP - Immediate Joiner
Contract - 1 year (extendable)
Required Qualifications

  • Bachelor//'s or Master//'s degree in Computer Science or a related field
  • 3+ years of experience in large-scale production-grade platform support, including participation in on-call rotations
  • 3+ years of hands-on experience with cloud platforms like AWS, Azure, or GCP
  • 2+ years of experience developing and supporting data pipelines using Apache Airflow including:
  • DAG lifecycle management and scheduling best practices
  • Troubleshooting task failures, scheduler issues, performance bottlenecks managing and error handling
  • Strong programming proficiency in Python, especially for developing and troubleshooting RESTful APIs
  • Working knowledge of Node.js is considered an added advantage
  • 1+ years of experience in observability using the ELK stack (Elasticsearch, Logstash, Kibana) or Grafana Stack
  • 2+ years of experience with DevOps and Infrastructure-as-Code tools such as GitHub, Jenkins, Docker, and Terraform
  • 2+ years of hands-on experience with Kubernetes, including managing and debugging cluster resources and workloads within Amazon EKS
  • Exposure to Agile and test-driven development a plus.
  • Experience delivering projects in a highly collaborative, multi-discipline development team environment


Desired Qualifications

  • Experience with participating in projects in a highly collaborative, multi-discipline development team environment
  • Exposure to Agile, ideally a strong background with the SAFe methodology
  • Skill set on any monitoring or observability tool will be a value add.

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