招聘
Required Skills
AWS
Terraform
CloudFormation
Python
Bash
Linux
CI/CD
Cloud networking
IAM
Security
Career Category
Information Systems:
Job Description
The Associate AWS Cloud Engineer will be responsible for maintaining scalable, secure, and reliable AWS cloud infrastructure. This is a hands-on engineering role requiring deep expertise in Infrastructure as Code (IaC), automation, cloud networking, and security. The ideal candidate should have strong AWS knowledge and be capable of writing and maintaining Terraform, CloudFormation, and CI/CD pipelines to streamline cloud deployments. Please note, this is an onsite role based in Hyderabad.
Roles & Responsibilities:
AWS Infrastructure Design & Implementation
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Implement, and manage highly available AWS cloud environments.
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Maintain VPCs, Subnets, Security Groups, and IAM policies to enforce security best practices.
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Optimize AWS costs using reserved instances, savings plans, and auto-scaling.
Infrastructure as Code (IaC) & Automation
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Maintain, and enhance Terraform & CloudFormation templates for cloud provisioning.
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Automate deployment, scaling, and monitoring using AWS-native tools & scripting.
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Implement and manage CI/CD pipelines for infrastructure and application deployments.
Cloud Security & Compliance
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Enforce best practices in IAM, encryption, and network security.
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Ensure compliance with SOC2, ISO27001, and NIST standards.
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Implement AWS Security Hub, Guard Duty, and WAF for threat detection and response.
Monitoring & Performance Optimization
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Set up AWS CloudWatch, Prometheus, Grafana, and logging solutions for proactive monitoring.
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Implement autoscaling, load balancing, and caching strategies for performance optimization.
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Troubleshoot cloud infrastructure issues and conduct root cause analysis.
Collaboration & DevOps Practices
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Work closely with software engineers, SREs, and DevOps teams to support deployments.
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Maintain Git Ops best practices for cloud infrastructure versioning.
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Support on-call rotation for high-priority cloud incidents.
Basic Qualifications and Experience:
Bachelor’s degree in computer science, IT, or related field with 3-5 years of hands-on cloud experience.
Functional Skills:
Must-Have Skills:
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Hands-on experience with AWS (EC2, S3, RDS, Lambda, VPC, IAM, ECS/EKS, API Gateway, etc.).
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Expertise in Terraform & CloudFormation for AWS infrastructure automation.
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Strong knowledge of AWS networking (VPC, Direct Connect, Transit Gateway, VPN, Route 53).
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Experience with Linux administration, scripting (Python, Bash), and CI/CD tools (Jenkins, GitHub Actions, Code Pipeline, etc.).
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Troubleshooting and debugging skills in cloud networking, storage, and security.
Good-to-Have Skills:
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Experience with Kubernetes (EKS) and service mesh architectures.
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Knowledge of AWS Lambda and event-driven architectures.
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Familiarity with AWS CDK, Ansible, or Packer for cloud automation.
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Exposure to multi-cloud environments (Azure, GCP).
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Familiarity with HPC, DGX Cloud.
Professional Certifications (preferred):
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AWS Certified Solutions Architect – Associate or Professional
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AWS Certified DevOps Engineer – Professional
Soft Skills:
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Strong analytical and problem-solving skills.
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Ability to work effectively with global, virtual teams
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Effective communication and collaboration with cross-functional teams.
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Ability to work in a fast-paced, cloud-first environment.
Shift Information: This position is required to be onsite and participate in 24/5 and weekend on call in rotation fashion and may require you to work a later shift. Candidates must be willing and able to work off hours, as required based on business requirements.
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About Amgen
Reviews
3.8
2 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
3.0
Career
4.0
Management
3.0
70%
Recommend to a Friend
Pros
Professional development opportunities
Exposure to diverse functions and projects
Large-scale project experience
Cons
Understaffed with high output expectations
Limited permanent job opportunities
Temporary contract limitations
Salary Ranges
1,544 data points
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0 reports
$94,068
total / year
Base
$37,627
Stock
$47,034
Bonus
$9,407
$65,848
$122,288
Interview Experience
3 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Round Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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