Specialist Cloud Engineer – AWS

Amgen SA; Hyderabad; On-site; INR 1,800,000 - 2,700,000; Full time

Job summary

Amgen is seeking a Specialist Cloud Engineer – AWS in Hyderabad to design, develop, and support cloud-native operations enabling scalable, reliable platforms. You will collaborate across Cloud Engineering, Cloud Operations, Automation, and SRE teams to build innovative solutions and improve the developer and user experience.

The role requires deep AWS services knowledge, IaC expertise, and a security-first approach.

Qualifications

• 6–8 years of cloud operations with hands-on AWS ownership.
• Strong knowledge of IaC and automation frameworks.
• Experience with security controls and IAM.

Responsibilities

• Design and implement AI/GenAI-powered cloud solutions.
• Develop and maintain IaC using Terraform and CloudFormation.
• Ensure platforms are secure, reliable, and cost-effective.
• Implement automation, observability, and AIOps for reliability.
• Support 24x7 cloud operations and incident response.

Skills

AWS cloud engineering

SRE principles

Incident response

Security-first mindset

Automation / AIOps

Education

Master's degree

Bachelor's degree

Diploma with experience

Tools

Terraform

CloudFormation

CI/CD pipelines

AWS IAM

EKS

VPC

Job description

ABOUT AMGEN:

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation.

Job Description

Specialist Cloud Engineer – AWS

In this role as a Specialist Cloud Engineer – AWS at Amgen, you will design, develop, and support cloud-native operations and solutions that enable scalable, reliable, and secure cloud platforms. You will work closely with Cloud Engineering, Cloud Operations, Automation, and Site Reliability Engineering (SRE) teams to build innovative solutions, improve operational efficiency, and enhance the developer and user experience across Amgen's cloud ecosystem.

Roles & Responsibilities:

Cloud Engineering & Operations

• Design and implement AI/GenAI-powered cloud solutions, leveraging intelligent agents and workflow automation to improve operational efficiency and business outcomes.
• Build, manage, and support cloud platforms and services, ensuring they are secure, reliable, scalable, and cost-effective.
• Develop and maintain Infrastructure as Code (IaC) solutions using Terraform, CloudFormation, and CI/CD pipelines.
• Implement automation, observability, and AIOps capabilities to improve platform reliability, monitoring, and engineering productivity.
• Troubleshoot complex production issues, support incident resolution, and perform root cause analysis to enhance service stability.
• Work closely with security and engineering teams to implement IAM, encryption, governance, and compliance controls with a security-first mindset.
• Contribute to cloud modernisation and continuous improvement initiatives by applying operations/engineering best practices, automation, and technical problem-solving.
• Support AWS FinOps activities, including cost optimisation, resource utilisation reviews, budgeting inputs, forecasting support, and cloud spend visibility.
• Ensure cloud platforms comply with enterprise standards for security, risk controls, reliability, and operational excellence.

Basic Qualifications:

• Master’s degree and 6 to 8 years of experience in cloud operations, with at least 3 years of hands‑on technical ownership in AWS cloud engineering OR
• Bachelor’s degree and 8 to 10 years of experience in cloud operations, with at least 4 years of hands‑on technical ownership in AWS cloud engineering OR
• Diploma and 10 to 12 years of experience in cloud operations, with at least 5 years of hands‑on technical ownership in AWS cloud engineering OR
• Deep expertise in AWS services (EC2, S3, SCPs, RDS, Lambda, Control Tower, Landing Zone, R53, EKS, IAM, VPC, etc.).
• Expertise in implementing solution for cloud operations work leveraging AI, Agents, Workflows etc..
• Strong knowledge of Infrastructure as Code (IaC) and automation frameworks.
• Experience in SRE principles including observability, MTTR, SLIs/SLOs, and incident response.
• Solid understanding of CI/CD pipelines and cloud-native application deployment.

Preferred Qualifications:

• Proven experience in building and operating large-scale AWS platforms, with expertise in AI and agent-based solutions leveraging Amazon Bedrock, Agent Core, and modern cloud automation frameworks.
• Strong experience implementing enterprise cloud solutions, with hands‑on expertise in cloud security, compliance controls, risk controls, and operational excellence frameworks.
• Proven expertise in building automation, monitoring, observability, and AIOps solutions within AWS environments to drive platform reliability, reduce operational toil, and accelerate engineering delivery.
• Strong understanding of AWS FinOps principles and cloud financial optimisation practices, including cost analysis, budgeting inputs, forecasting support, chargeback/show back models, and cloud spend visibility.
• Strong experience supporting and operating enterprise-scale AWS and GCP environments, with deep technical expertise in AWS cloud services, architecture, security, automation, and operational best practices.

Professional Certifications:

• AWS Certified Solutions Architect (preferred)

Soft Skills:

• Critical thinking and technical analysis
• Strong technical judgement and problem-solving abilities
• Excellence in cross functional collaboration
• Outstanding communication skills
• Ability to support incident response and high-priority technical issue resolution
• Clear technical communication and stakeholder collaboration skills

Shift Information:

This is an onsite position requiring flexibility to support a global operating model. The successful candidate must be willing to work outside standard business hours, including evenings, weekends, and on-call shifts, as required to support 24x7 cloud operations and critical business priorities.