Managed Airflow Platform Support Engineer

2 weeks ago

Bengaluru, Karnataka, India Strategic HR Solutions Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Senior Engineer (MAP Focus) FPE
Scope And Responsibilities
As a Senior Engineer with a focus on Managed Airflow Platform (MAP) support engineering, you will :

  • Evangelize and cultivate adoption of Global Platforms, open-source software and agile principles within the organization
  • Ensure solutions are designed and developed using a scalable, highly resilient cloud native architecture
  • Ensure the operational stability, performance, and scalability of cloud-native platforms through proactive monitoring and timely issue resolution
  • Diagnose infrastructure and system issues across cloud environments and Kubernetes clusters, and lead efforts in troubleshooting and remediation
  • Collaborate with engineering and infrastructure teams to manage configurations, resource tuning, and platform upgrades without disrupting business operations
  • Maintain clear, accurate runbooks, support documentation, and platform knowledge bases to enable faster onboarding and incident response
  • Support observability initiatives by improving logging, metrics, dashboards, and alerting frameworks
  • Advocate for operational excellence and drive continuous improvement in system reliability, cost-efficiency, and maintainability
  • Work with product management to support product / service scoping activities
  • Work with leadership to define delivery schedules of key features through an agile framework
  • Be a key contributor to overall architecture, framework and design of global platforms

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 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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