Apache Airflow Engineer

Greetings from Maneva!

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.
• Experiencedeliveringprojectsinahighlycollaborative,multi-disciplinedevelopmentteam 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]