Amazon AWS Cloud Support Associate –
Job ID: 2947177
Job Overview, Skills & Qualifications, Key Job Highlights
| Category | Details |
|---|---|
| Job Title | Cloud Support Associate |
| Company | Amazon Web Services (AWS) |
| Location | Haryana, India |
| Job ID | 2947177 |
| Job Type | Full-Time |
| Education Required | Bachelor's degree or equivalent experience in a technical position |
| Experience Required | Minimum 1+ year in a relevant technical position |
| Key Technologies | Linux/Windows Server, Networking, MySQL, Elasticsearch, Kafka, Python |
| Support Type | Customer-facing, Global, Shift-based (1 PM to 10 PM IST) |
| Cloud Skills | Cloud Computing, System Troubleshooting, Business Analytics |
About the Role
Amazon Web Services (AWS), the leading cloud technology provider, is hiring a Cloud Support Associate. As part of the AWS Support team, you will support a global customer base using advanced cloud solutions. The role offers exposure to mission-critical cloud technologies and direct collaboration with engineering teams across the globe.
Key Responsibilities
Troubleshoot and resolve complex technical issues across AWS services.
Provide technical support via email, phone, and chat.
Use advanced tools and methods to deliver custom solutions.
Work on distributed systems, databases, networking, and operating systems.
Contribute to documentation, tutorials, and internal process improvements.
Coordinate with global AWS teams to resolve high-impact issues.
Handle customer-critical incidents with clear communication.
About the Team
This is a customer support-centric role based in the cloud domain.
Support Engineers handle technical cases and perform root cause analysis.
Opportunities to lead projects, mentor peers, write scripts, and improve systems.
Career development is supported through AWS training and promotion opportunities.
Engineers may also participate in events and summits across AWS locations.
Work is shift-based (1 PM to 10 PM IST), including weekends or holidays.
Basic Qualifications
Bachelor's degree or equivalent work experience in a technical domain.
At least 1 year of hands-on experience in:
Relational Database Engines (MySQL, PostgreSQL, Oracle, SQL Server)
Elasticsearch or Solr
Kafka or Kinesis
Familiarity with:
Business analytics applications
Linux/Windows server administration
Networking concepts (TCP/IP, DNS, OSI Model)
Preferred Qualifications
Prior experience in a technical support environment.
Strong analytical and problem-solving abilities.
Understanding of data warehousing concepts and search/streaming services.
Scripting or programming knowledge in: Python, R, Ruby, GO, Java, .NET (C#), JavaScript.
Hands-on experience with tools like Redshift, Teradata, Snowflake, Elasticsearch, Kafka.
Working knowledge of cloud architecture and distributed systems.
Why Join Amazon AWS?
Work with the world leader in cloud innovation.
Be part of a dynamic team solving global-scale cloud challenges.
Accelerate your career with AWS’s dedicated training and mentorship.
Contribute to customer success and cloud adoption globally.
Application Process
Update your resume with relevant technical experience and achievements.
Prepare for technical assessments (cloud fundamentals, system admin, database).
Apply directly through the AWS Careers Portal.
Monitor your candidate dashboard for interview updates.
📝 How to Apply?
Ensure you:
Update your resume with relevant skills and experience.
Prepare for the technical assessment and interviews.
Apply as soon as possible since positions fill quickly!
🔗 APPLY FOR JOB HERE - AWS Cloud Support Associate
Top ATS Keywords to Include in Your Resume
These keywords ensure your resume is ATS-friendly and aligned with the job description:
Technical Skills:
-
Cloud Computing
-
AWS Services
-
Linux Administration
-
Windows Server Administration
-
Networking (TCP/IP, DNS, OSI Model)
-
Relational Databases (MySQL, PostgreSQL, Oracle, SQL Server)
-
Elasticsearch
-
Apache Solr
-
Apache Kafka
-
Amazon Kinesis
-
System Troubleshooting
-
Distributed Systems
-
Data Warehousing
-
Redshift, Teradata, Snowflake
-
Scripting Languages: Python, Java, JavaScript, Ruby, R, Go, .NET (C#)
-
Business Analytics
-
System Administration
-
Technical Support
-
Root Cause Analysis
-
Cloud Architecture
-
Customer Support
Soft Skills/Competencies:
-
Analytical Thinking
-
Problem Solving
-
Critical Thinking
-
Communication Skills
-
Customer-Facing Experience
-
Collaboration with Global Teams
-
Documentation Writing
-
Mentorship & Coaching
Certifications (Optional but Boosts ATS Score):
-
AWS Certified Cloud Practitioner
-
AWS Certified Solutions Architect – Associate
-
Linux+
-
CCNA (for networking concepts)
Key Resume Bullet Points (Customize According to Your Experience)
Include bullet points like these under “Professional Experience” or “Projects”:
Cloud & System Support
-
Delivered technical support for cloud-based applications on AWS, resolving 100+ customer issues monthly via chat, email, and phone.
-
Diagnosed and resolved performance issues in distributed systems leveraging Linux servers, MySQL, and Elasticsearch.
Database & Analytics
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Managed and optimized relational databases including PostgreSQL, SQL Server, and Oracle, improving data retrieval performance by 25%.
-
Applied business analytics tools to interpret system performance trends and create actionable reports.
Troubleshooting & Root Cause Analysis
-
Applied advanced troubleshooting techniques to identify root causes in Kafka-based streaming systems and recommend preventive actions.
-
Handled critical incidents with precise and timely communication to customers and internal teams.
Networking & Server Management
-
Administered Linux and Windows servers, configured DNS, and maintained firewalls, ensuring 99.99% uptime.
-
Troubleshot networking issues using tools such as
traceroute,ping,iperf, anddig.
Scripting & Automation
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Wrote automation scripts using Python and Bash to streamline log analysis and customer issue replication.
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Developed internal tools to speed up diagnostics and reduce ticket resolution time by 30%.
Team Collaboration & Knowledge Sharing
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Mentored 5+ junior engineers and led knowledge-sharing sessions on cloud troubleshooting best practices.
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Created internal documentation, knowledge base articles, and participated in peer code reviews.
✅ Resume Structure Tips for ATS & Recruiters
Header:
-
Full Name | Location (City, India) | Email | Phone | LinkedIn | GitHub (if coding background)
Professional Summary (3-4 lines):
Tailored to the role, e.g.:
Cloud Support Engineer with 2+ years of experience in troubleshooting AWS environments, system administration, and customer-facing technical support. Skilled in Linux, MySQL, Python, and distributed systems. Passionate about solving critical production issues and optimizing cloud performance.
Core Skills: Present keywords in a 2-column bullet format. Example:
Professional Experience: Use job-matching keywords in every bullet point. Quantify impact if possible (e.g., “Reduced resolution time by 30%”).
Certifications (if applicable):
-
AWS Certified Cloud Practitioner – 202X
-
Linux+ or CCNA – 202X
Education:
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Bachelor’s Degree in Computer Science / Information Technology (or Equivalent)
✅ Bonus Tips for Resume Success
-
Use Job Title "Cloud Support Associate" at the top — matches ATS.
-
Tailor each resume version for each job post using unique keywords.
-
Submit PDF unless asked for .docx – PDFs retain formatting.
-
Keep resume to 1-page if under 5 years of experience.
-
Don’t use tables or columns if uploading to ATS — prefer bullet lists.
BASIC ATS-Friendly Resume Template for this Job
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Cloud Support Associate
Full Name | Haryana, India | email@example.com | +91-XXXXXXXXXX | LinkedIn | GitHub
Join Our Channel and DM for your Tailored Resume
Cloud Support Associate
Full Name | Haryana, India | email@example.com | +91-XXXXXXXXXX | LinkedIn | GitHub
Professional Summary
Cloud Support Associate with 2+ years of experience supporting AWS infrastructure, diagnosing distributed systems, and managing Linux/Windows environments. Proficient in MySQL, Python, Kafka, and Elasticsearch. Strong customer support skills with a focus on root cause analysis and automation.
Cloud Support Associate with 2+ years of experience supporting AWS infrastructure, diagnosing distributed systems, and managing Linux/Windows environments. Proficient in MySQL, Python, Kafka, and Elasticsearch. Strong customer support skills with a focus on root cause analysis and automation.
Core Skills
• AWS Cloud Support • Linux / Windows Admin
• MySQL / PostgreSQL • Networking (TCP/IP, DNS)
• Elasticsearch / Kafka • Python / Bash Scripting
• Cloud Architecture • Technical Support
• Business Analytics • Distributed Systems
• AWS Cloud Support • Linux / Windows Admin
• MySQL / PostgreSQL • Networking (TCP/IP, DNS)
• Elasticsearch / Kafka • Python / Bash Scripting
• Cloud Architecture • Technical Support
• Business Analytics • Distributed Systems
Professional Experience
Cloud Support Engineer | Company Name | YYYY – Present
• Delivered technical support to global customers using AWS services; resolved 100+ issues monthly via email, chat, and phone.
• Supported distributed applications on Linux/Windows servers, ensuring 99.99% uptime and performance optimization.
• Diagnosed performance bottlenecks in systems running Elasticsearch and Kafka.
• Managed MySQL and PostgreSQL databases, optimizing queries and increasing performance by 25%.
• Analyzed logs and system metrics to identify issues and trends using business analytics tools.
• Troubleshot networking issues using TCP/IP tools (ping, traceroute, iperf), resolving escalated tickets in <24 hours.
• Automated system health checks and log parsing using Python scripts; reduced manual workload by 40%.
• Developed Bash scripts to replicate customer issues, speeding up resolution and improving SLA adherence.
• Led internal workshops on cloud troubleshooting best practices; mentored 5+ junior engineers.
• Authored 15+ knowledge base articles and contributed to internal documentation for service recovery processes.
Cloud Support Engineer | Company Name | YYYY – Present
• Delivered technical support to global customers using AWS services; resolved 100+ issues monthly via email, chat, and phone.
• Supported distributed applications on Linux/Windows servers, ensuring 99.99% uptime and performance optimization.
• Diagnosed performance bottlenecks in systems running Elasticsearch and Kafka.
• Managed MySQL and PostgreSQL databases, optimizing queries and increasing performance by 25%.
• Analyzed logs and system metrics to identify issues and trends using business analytics tools.
• Troubleshot networking issues using TCP/IP tools (ping, traceroute, iperf), resolving escalated tickets in <24 hours.
• Automated system health checks and log parsing using Python scripts; reduced manual workload by 40%.
• Developed Bash scripts to replicate customer issues, speeding up resolution and improving SLA adherence.
• Led internal workshops on cloud troubleshooting best practices; mentored 5+ junior engineers.
• Authored 15+ knowledge base articles and contributed to internal documentation for service recovery processes.
Certifications
• AWS Certified Cloud Practitioner – 2024
• CompTIA Linux+ – 2023
• CCNA – 2022
• AWS Certified Cloud Practitioner – 2024
• CompTIA Linux+ – 2023
• CCNA – 2022
Education
Bachelor’s in Computer Science / IT
University Name, Year
Bachelor’s in Computer Science / IT
University Name, Year
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