MAP Support Engineer

3 weeks ago

Bengaluru, India Strategic HR Solutions Full time

Role : MAP ( Managed Airflow Platform) Support Engineer Exp - 4 -6 YearsShift - 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 daysScope 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 platformsRequired 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 environmentDesired 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)

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