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Apache Airflow Engineer

Apache Airflow Engineer

ConfidentialBengaluru / Bangalore
9 days ago
Job description

Greetings from Maneva!

Job Description

Job Title                -    Apache Airflow Engineer

Experience           -    3-10 days

Location               -     Bangalore

Notice                  -       Immediate to 15 days

Requirements : -

As a Senior Engineer with a focus on Managed Airflow Platform (MAP) support engineering.

  • 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 on boarding 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 Node.js is considered an added advantage.
  • 1+ years of experience in observability using the ELK stack (Elasticsearch, Log stash, 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.

    • If you are excited to grab this opportunity, please apply directly or share your CV at  [HIDDEN TEXT]  and  [HIDDEN TEXT]

    Skills Required

    Apache Airflow, Aws, Azure, Restful Apis, Node.js, Agile, Github, Grafana, Docker, Terraform

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