hirly

CloudThat

Cloud Ops Support Engineer (AWS)

Mumbai, India

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at CloudThat first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included
Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Customer support
Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
15 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

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.

Original posting on CloudThat's site ↗

Listed on hirly, a job board. hirly is not the employer: CloudThat is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job