Senior Engineer

Primary Skill - 3-5 years hands-on experience in Apache Airflow, Any Cloud platform (AWS/Azure/GCP), Python

Secondary:

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.