Managed Airflow Platform Support Engineer

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 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.