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Application Support Engineer

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Onsite

Application Support Engineer

Softenger

Application Support Engineer

Skills

MongoDBData EngineeringJavaKafkaRedisJenkinsLinuxKubernetesELK StackApache AirflowHadoop

5 days ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Job Title

Application Support Engineer / Data Engineering TechOps / L2 Platform Support Engineer

Job DescriptionRole Overview:
We are hiring a Data Engineering TechOps / L1/ L2 Support Engineer with 1**+ years of experience**. You will ensure the stability, monitoring, and high availability of our large-scale Data Engineering Platform. This role requires working in a 24x7 rotational shift environment.

Key Responsibilities:

  • L2 Operations: Manage day-to-day operations and L2 support for the Data Engineering Platform to meet strict SLOs.
  • Troubleshooting: Resolve complex technical issues across Spark, Airflow, Kafka, NiFi, S3, and Hadoop.
  • Incident Management: Perform Root Cause Analysis (RCA), service restoration, and handle user escalations.
  • Monitoring & Alerts: Maintain dashboards, metrics, and alerts using the ELK stack and monitor Kubernetes/EKS and Java APIs.
  • Automation: Develop automation scripts and self-healing mechanisms to reduce manual effort.
  • Collaboration: Partner with L1 and L3 teams, and maintain SOPs and operational reports.

Required Profile (Must-Haves):

  • Experience: 1**+ years** in TechOps or Platform Support within a Data Engineering ecosystem.
  • Technical Stack: Hands-on troubleshooting in Spark, Airflow, Kafka, NiFi, ELK, Hadoop, and Linux.
  • Infrastructure: Experience monitoring and debugging workloads in Kubernetes/EKS.
  • Shift Flexibility: Must be willing to work in a 24x7 rotational shift model.

Preferred Skills (Good-to-Haves):

  • Domain experience in the Telecom sector.
  • Knowledge of NoSQL databases (Redis, MongoDB, Aerospike).
  • Familiarity with DataHub tools, Data Mesh, or Jenkins CI/CD pipelines.

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