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Cloudthat

Cloud Ops Support Engineer (AWS)

Mumbai · Senior

Recently posted - highest visibilityVerified listingPosted 2h ago

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64Skills
97Experience

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Skills required

17 listed
TCP/IPCloud InfrastructureDisaster RecoveryResource UtilizationAWS GlueLinux AdministrationLoad BalancingAmazon Web Services+9 more
TCP/IPCloud InfrastructureDisaster RecoveryResource UtilizationAWS Glue

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Job description

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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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

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Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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