Site Reliability Engineer
Amgen
Site Reliability Engineer
Job Description
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
What you will do
- Provision and manage cloud infrastructure using Infrastructure as Code (IaC)
- Support container orchestration platforms, ensuring availability, access control, and resource management
- Assist in configuring and maintaining CI/CD pipelines and environments
- Set up and maintain observability tools to track system health and performance
- Participate in alert tuning, incident resolution, and root cause analysis
- Support integration of observability platforms with incident response workflows
- Automate routine platform tasks such as provisioning, patching, and configuration
- Write scripts to improve platform reliability, reduce manual work, and enforce compliance
- Participate in platform upgrades, maintenance windows, and service validation efforts
- Support the adoption of AI-assisted operational tools for log analysis, anomaly detection, and predictive alerts
- Collaborate with senior engineers to evaluate AI/ML-based observability and automation platforms
- Assist in integrating AI-driven insights into dashboards, alerts, or incident workflows
- Stay current with emerging AI trends in infrastructure and site reliability, and contribute to tool evaluations and pilots
- Work with development, QA, and security teams to ensure reliable and secure deployments
- Document operational procedures, playbooks, and system runbooks
- Learn and support enterprise collaboration platforms and internal tooling
- Participate in Agile and SAFe delivery processes—including sprint planning, stand-ups, retrospectives, and PI planning—to ensure security and platform reliability are embedded across development cycles
What we expect of you
- Master's degree / Bachelor's degree and 5 to 9 years in Computer Science, IT or related field
- 4 years of hands-on related experience in site reliability, DevOps, or platform engineering roles
- Hands-on experience with cloud platforms preferably AWS
- Familiarity with Kubernetes or container orchestration technologies
- Exposure to CI/CD practices and pipeline automation
- Experience troubleshooting Linux systems, processes, and services
Must-Have Skills
- Practical experience with cloud platforms (e.g., AWS, Azure, or GCP), including compute, networking, IAM, and storage services
- Familiarity with container orchestration platforms (e.g., Kubernetes, Docker), including basic workload deployment and troubleshooting
- Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation
- Working knowledge of Linux administration, including system services, package management, and file system structures
- Hands-on exposure to CI/CD platforms (e.g., GitLab CI, Jenkins, GitHub Actions) and pipeline troubleshooting
- Proficiency in scripting or automation languages like Python, Bash, or Go
- Exposure to observability tooling (e.g., Dynatrace, Prometheus, or Grafana) for monitoring and alerting
- Familiarity with incident management practices and tools (e.g., runbooks, escalation workflows, basic alert tuning)
- Version control skills using Git and understanding of branching strategies
- Experience supporting or integrating enterprise collaboration platforms (e.g., Jira, Confluence, ServiceNow)
- Interest and basic understanding of AI/ML tools used in infrastructure and operations (e.g., anomaly detection, intelligent alerting, log analysis)
- Familiarity with IT incident response workflows and ticketing platforms
- Knowledge of secrets management, configuration management tools (e.g., Ansible), or logging frameworks
- Exposure to AI-assisted tooling (e.g., AIOps platforms, AI-enhanced alerting, anomaly detection)
- Strong analytical and troubleshooting skills
- Collaborative and proactive mindset
- Effective communication and documentation practices
- Curiosity and willingness to adopt new tools and methods, including AI integrations
- Ability to manage time and prioritize tasks in dynamic environments
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
30,000 - 60,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Practical experience with cloud platforms (e.g., AWS, Azure, or GCP), including compute, networking, IAM, and storage servicesintermediate
- Familiarity with container orchestration platforms (e.g., Kubernetes, Docker), including basic workload deployment and troubleshootingintermediate
- Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormationintermediate
- Working knowledge of Linux administration, including system services, package management, and file system structuresintermediate
- Hands-on exposure to CI/CD platforms (e.g., GitLab CI, Jenkins, GitHub Actions) and pipeline troubleshootingintermediate
- Proficiency in scripting or automation languages like Python, Bash, or Gointermediate
- Exposure to observability tooling (e.g., Dynatrace, Prometheus, or Grafana) for monitoring and alertingintermediate
- Familiarity with incident management practices and tools (e.g., runbooks, escalation workflows, basic alert tuning)intermediate
- Version control skills using Git and understanding of branching strategiesintermediate
- Experience supporting or integrating enterprise collaboration platforms (e.g., Jira, Confluence, ServiceNow)intermediate
- Interest and basic understanding of AI/ML tools used in infrastructure and operations (e.g., anomaly detection, intelligent alerting, log analysis)intermediate
- Familiarity with IT incident response workflows and ticketing platformsintermediate
- Knowledge of secrets management, configuration management tools (e.g., Ansible), or logging frameworksintermediate
- Exposure to AI-assisted tooling (e.g., AIOps platforms, AI-enhanced alerting, anomaly detection)intermediate
- Strong analytical and troubleshooting skillsintermediate
- Collaborative and proactive mindsetintermediate
- Effective communication and documentation practicesintermediate
- Curiosity and willingness to adopt new tools and methods, including AI integrationsintermediate
- Ability to manage time and prioritize tasks in dynamic environmentsintermediate
Required Qualifications
- Master's degree / Bachelor's degree and 5 to 9 years in Computer Science, IT or related field (experience)
- 4 years of hands-on related experience in site reliability, DevOps, or platform engineering roles (experience)
- Hands-on experience with cloud platforms preferably AWS (experience)
- Familiarity with Kubernetes or container orchestration technologies (experience)
- Exposure to CI/CD practices and pipeline automation (experience)
- Experience troubleshooting Linux systems, processes, and services (experience)
Responsibilities
- Provision and manage cloud infrastructure using Infrastructure as Code (IaC)
- Support container orchestration platforms, ensuring availability, access control, and resource management
- Assist in configuring and maintaining CI/CD pipelines and environments
- Set up and maintain observability tools to track system health and performance
- Participate in alert tuning, incident resolution, and root cause analysis
- Support integration of observability platforms with incident response workflows
- Automate routine platform tasks such as provisioning, patching, and configuration
- Write scripts to improve platform reliability, reduce manual work, and enforce compliance
- Participate in platform upgrades, maintenance windows, and service validation efforts
- Support the adoption of AI-assisted operational tools for log analysis, anomaly detection, and predictive alerts
- Collaborate with senior engineers to evaluate AI/ML-based observability and automation platforms
- Assist in integrating AI-driven insights into dashboards, alerts, or incident workflows
- Stay current with emerging AI trends in infrastructure and site reliability, and contribute to tool evaluations and pilots
- Work with development, QA, and security teams to ensure reliable and secure deployments
- Document operational procedures, playbooks, and system runbooks
- Learn and support enterprise collaboration platforms and internal tooling
- Participate in Agile and SAFe delivery processes—including sprint planning, stand-ups, retrospectives, and PI planning—to ensure security and platform reliability are embedded across development cycles
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories
Site Reliability Engineer
Amgen
Site Reliability Engineer
Job Description
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
What you will do
- Provision and manage cloud infrastructure using Infrastructure as Code (IaC)
- Support container orchestration platforms, ensuring availability, access control, and resource management
- Assist in configuring and maintaining CI/CD pipelines and environments
- Set up and maintain observability tools to track system health and performance
- Participate in alert tuning, incident resolution, and root cause analysis
- Support integration of observability platforms with incident response workflows
- Automate routine platform tasks such as provisioning, patching, and configuration
- Write scripts to improve platform reliability, reduce manual work, and enforce compliance
- Participate in platform upgrades, maintenance windows, and service validation efforts
- Support the adoption of AI-assisted operational tools for log analysis, anomaly detection, and predictive alerts
- Collaborate with senior engineers to evaluate AI/ML-based observability and automation platforms
- Assist in integrating AI-driven insights into dashboards, alerts, or incident workflows
- Stay current with emerging AI trends in infrastructure and site reliability, and contribute to tool evaluations and pilots
- Work with development, QA, and security teams to ensure reliable and secure deployments
- Document operational procedures, playbooks, and system runbooks
- Learn and support enterprise collaboration platforms and internal tooling
- Participate in Agile and SAFe delivery processes—including sprint planning, stand-ups, retrospectives, and PI planning—to ensure security and platform reliability are embedded across development cycles
What we expect of you
- Master's degree / Bachelor's degree and 5 to 9 years in Computer Science, IT or related field
- 4 years of hands-on related experience in site reliability, DevOps, or platform engineering roles
- Hands-on experience with cloud platforms preferably AWS
- Familiarity with Kubernetes or container orchestration technologies
- Exposure to CI/CD practices and pipeline automation
- Experience troubleshooting Linux systems, processes, and services
Must-Have Skills
- Practical experience with cloud platforms (e.g., AWS, Azure, or GCP), including compute, networking, IAM, and storage services
- Familiarity with container orchestration platforms (e.g., Kubernetes, Docker), including basic workload deployment and troubleshooting
- Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation
- Working knowledge of Linux administration, including system services, package management, and file system structures
- Hands-on exposure to CI/CD platforms (e.g., GitLab CI, Jenkins, GitHub Actions) and pipeline troubleshooting
- Proficiency in scripting or automation languages like Python, Bash, or Go
- Exposure to observability tooling (e.g., Dynatrace, Prometheus, or Grafana) for monitoring and alerting
- Familiarity with incident management practices and tools (e.g., runbooks, escalation workflows, basic alert tuning)
- Version control skills using Git and understanding of branching strategies
- Experience supporting or integrating enterprise collaboration platforms (e.g., Jira, Confluence, ServiceNow)
- Interest and basic understanding of AI/ML tools used in infrastructure and operations (e.g., anomaly detection, intelligent alerting, log analysis)
- Familiarity with IT incident response workflows and ticketing platforms
- Knowledge of secrets management, configuration management tools (e.g., Ansible), or logging frameworks
- Exposure to AI-assisted tooling (e.g., AIOps platforms, AI-enhanced alerting, anomaly detection)
- Strong analytical and troubleshooting skills
- Collaborative and proactive mindset
- Effective communication and documentation practices
- Curiosity and willingness to adopt new tools and methods, including AI integrations
- Ability to manage time and prioritize tasks in dynamic environments
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
30,000 - 60,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Practical experience with cloud platforms (e.g., AWS, Azure, or GCP), including compute, networking, IAM, and storage servicesintermediate
- Familiarity with container orchestration platforms (e.g., Kubernetes, Docker), including basic workload deployment and troubleshootingintermediate
- Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormationintermediate
- Working knowledge of Linux administration, including system services, package management, and file system structuresintermediate
- Hands-on exposure to CI/CD platforms (e.g., GitLab CI, Jenkins, GitHub Actions) and pipeline troubleshootingintermediate
- Proficiency in scripting or automation languages like Python, Bash, or Gointermediate
- Exposure to observability tooling (e.g., Dynatrace, Prometheus, or Grafana) for monitoring and alertingintermediate
- Familiarity with incident management practices and tools (e.g., runbooks, escalation workflows, basic alert tuning)intermediate
- Version control skills using Git and understanding of branching strategiesintermediate
- Experience supporting or integrating enterprise collaboration platforms (e.g., Jira, Confluence, ServiceNow)intermediate
- Interest and basic understanding of AI/ML tools used in infrastructure and operations (e.g., anomaly detection, intelligent alerting, log analysis)intermediate
- Familiarity with IT incident response workflows and ticketing platformsintermediate
- Knowledge of secrets management, configuration management tools (e.g., Ansible), or logging frameworksintermediate
- Exposure to AI-assisted tooling (e.g., AIOps platforms, AI-enhanced alerting, anomaly detection)intermediate
- Strong analytical and troubleshooting skillsintermediate
- Collaborative and proactive mindsetintermediate
- Effective communication and documentation practicesintermediate
- Curiosity and willingness to adopt new tools and methods, including AI integrationsintermediate
- Ability to manage time and prioritize tasks in dynamic environmentsintermediate
Required Qualifications
- Master's degree / Bachelor's degree and 5 to 9 years in Computer Science, IT or related field (experience)
- 4 years of hands-on related experience in site reliability, DevOps, or platform engineering roles (experience)
- Hands-on experience with cloud platforms preferably AWS (experience)
- Familiarity with Kubernetes or container orchestration technologies (experience)
- Exposure to CI/CD practices and pipeline automation (experience)
- Experience troubleshooting Linux systems, processes, and services (experience)
Responsibilities
- Provision and manage cloud infrastructure using Infrastructure as Code (IaC)
- Support container orchestration platforms, ensuring availability, access control, and resource management
- Assist in configuring and maintaining CI/CD pipelines and environments
- Set up and maintain observability tools to track system health and performance
- Participate in alert tuning, incident resolution, and root cause analysis
- Support integration of observability platforms with incident response workflows
- Automate routine platform tasks such as provisioning, patching, and configuration
- Write scripts to improve platform reliability, reduce manual work, and enforce compliance
- Participate in platform upgrades, maintenance windows, and service validation efforts
- Support the adoption of AI-assisted operational tools for log analysis, anomaly detection, and predictive alerts
- Collaborate with senior engineers to evaluate AI/ML-based observability and automation platforms
- Assist in integrating AI-driven insights into dashboards, alerts, or incident workflows
- Stay current with emerging AI trends in infrastructure and site reliability, and contribute to tool evaluations and pilots
- Work with development, QA, and security teams to ensure reliable and secure deployments
- Document operational procedures, playbooks, and system runbooks
- Learn and support enterprise collaboration platforms and internal tooling
- Participate in Agile and SAFe delivery processes—including sprint planning, stand-ups, retrospectives, and PI planning—to ensure security and platform reliability are embedded across development cycles
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories