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Open nowPosted 8 days ago

Cloud Ops Support Engineer (AWS)

CloudThat83 open roles

Where
Mumbai
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Your applicationOpen nowCloud Ops Support Engineer (AWS)CloudThat · Mumbai

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. CloudThat postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 8 days ago

CloudThat median: 1 days open

The posting

Position: Cloud Ops Support Engineer – AWS

Experience: 1.5 Years – 3 Years

Location: Mumbai (Bandra East)

Employment Type: Full-Time

Note : Ability to work in a 24x7 support environment when required

Job Summary

We are seeking a highly motivated L2 Cloud Engineer with 2+ years of hands-on AWS experience to support, manage, troubleshoot, and optimize cloud infrastructure and data platform services. The ideal candidate should have strong experience with AWS compute, storage, container, streaming, and big data services, including EC2, EKS, EFS, MSK, EMR, Glue, and related AWS offerings.

The engineer will be responsible for day-to-day cloud operations, incident management, performance monitoring, troubleshooting, and ensuring platform reliability and availability.

Key Responsibilities

AWS Infrastructure Management

  • Provision, configure, manage, and troubleshoot AWS infrastructure.
  • Monitor and maintain EC2 instances, Auto Scaling Groups, Load Balancers, and VPC networking components.
  • Perform root cause analysis for infrastructure and application-related issues.
  • Support high availability and disaster recovery configurations.

Container & Kubernetes Administration

  • Manage and support Amazon EKS clusters.
  • Deploy, monitor, and troubleshoot containerized workloads.
  • Monitor cluster health and optimize resource utilization.

Storage & File Services

  • Administer Amazon EFS and other AWS storage services.
  • Troubleshoot performance and connectivity issues.
  • Implement backup and recovery procedures.

Data Engineering & Big Data Services

  • Support and manage Amazon EMR clusters for big data workloads.
  • Monitor Spark, Hadoop, and EMR job execution.
  • Manage AWS Glue jobs, Crawlers, Data Catalogs, and ETL workflows.
  • Troubleshoot data processing failures and performance bottlenecks.

Streaming & Messaging Services

  • Support Amazon MSK (Managed Kafka) environments.
  • Monitor Kafka brokers, topics, consumer groups, and replication health.
  • Troubleshoot connectivity, throughput, and latency issues.

Monitoring & Operations

  • Configure and manage CloudWatch metrics, dashboards, and alarms.
  • Support incident, problem, and change management processes.
  • Perform log analysis using CloudWatch Logs and other monitoring tools.
  • Participate in on-call rotations and production support activities.

Required Skills

  • AWS Services
  • Linux Administration
  • Kubernetes Fundamentals
  • Docker Containers
  • Kafka Basics
  • Networking (TCP/IP, DNS, VPN, Load Balancing)
  • Shell Scripting (Bash) or Python
  • Monitoring and Troubleshooting Skills

Preferred Qualifications

  • AWS Certified Cloud Practitioner / AWS Solutions Architect Associate / AWS SysOps Administrator.
  • Experience supporting production environments.
  • Exposure to Data Lake, Analytics, or Data Engineering platforms.
  • Knowledge of Spark, Hive, Hadoop, or Kafka ecosystems.
  • Understanding of hybrid cloud and cloud networking concepts.

Soft Skills

  • Strong analytical and troubleshooting abilities.
  • Excellent verbal and written communication.
  • Ability to handle multiple incidents and tasks simultaneously.
  • Customer-focused mindset with strong ownership and accountability.
  • Ability to work in a 24x7 support environment when required.

Experience

1.5 + Years of relevant AWS Cloud Operations experience, with hands-on exposure to EC2, EKS, EFS, MSK, EMR, Glue, and related AWS services in production environments.

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