MAP Support Engineer - Cloud Platform

Strategic HR SolutionsBangalore

5 days ago

Job description

Role : MAP ( Managed Airflow Platform) Support Engineer

Exp - 4 -6 Years

Shift - Night Shift in 2 slots ( 7 PM - 7 AM )

Mandatory Skills : AWS - Cloud platform, Rest API, Apache Airflow, Python & Kubernetes with good communication.

Notice Period : Strictly max 10-15 days

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.

(ref : hirist.tech)

Cloud Platform Engineer • Bangalore