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Model N is the leader in revenue optimization and compliance for pharmaceutical, medtech, and high-tech innovators. For more than 25 years, we have helped customers maximize revenue, streamline operations, and maintain compliance through cloud-based software, value-added services, and data-driven insights. With a focus on innovation and customer success, Model N empowers life sciences and high-tech manufacturers to bring life-changing products to the world more efficiently and profitably. Model N is trusted by over 150 of the world’s leading companies across more than 120 countries. For more information, visit www.modeln.com.
DevOps Engineer
Location
Worldwide
Posted
104 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
DevOps Engineer
Remote World
Role Description We're looking for a skilled DevOps Engineer to build and maintain the infrastructure that powers our global platform — keeping systems fast, reliable, and secure. - Design, build, and maintain cloud infrastructure (AWS, GCP, or Azure) - Manage and improve CI/CD pipelines and deployment processes - Implement monitoring, alerting, and incident response workflows - Ensure security and compliance across infrastructure - Work closely with engineering teams to support development velocity Qualifications - 3+ years of DevOps or platform engineering experience - Strong cloud infrastructure knowledge - Experience with containerisation (Docker, Kubernetes) - Proficiency with IaC tools (Terraform, Pulumi, or similar) - Excellent English communication skills Company Description
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• Design, build, and operate reliable AWS-based infrastructure supporting production services • Improve automation, repeatability, scalability, observability, and cost efficiency across the platform • Develop and maintain infrastructure as code and CI/CD pipelines to reduce manual operations • Monitor systems, respond to incidents, and create runbooks for high-risk operational services • Partner with engineering teams to support deployments and improve operational practices • Coach and mentor engineers on DevOps principles and operational excellence
• Design and implement scalable, reliable, and fault-tolerant systems across cloud environments. • Develop and maintain observability tools, including monitoring, logging, and alerting (e.g., Prometheus, Grafana, Datadog, ELK). • Automate infrastructure provisioning, deployment, and incident response using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. • Optimize system performance, scalability, and incident response workflows to improve uptime. • Work closely with development and DevOps teams to improve system design for reliability. • Conduct root cause analysis (RCA) and implement preventative measures to minimize failures. • Ensure high availability by designing and maintaining load balancing, failover, and disaster recovery strategies. • Improve CI/CD pipelines to enhance deployment speed while maintaining stability. • Optimize cloud cost and resource utilization for AWS, Azure, or Google Cloud Platform (GCP). • Participate in on-call rotations to quickly address system failures and minimize downtime.
• Design, implement, and maintain CI/CD pipelines to automate build, test, and deployment processes. • Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform (GCP). • Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi. • Deploy and manage containerized applications using Docker and Kubernetes. • Monitor system performance, identify bottlenecks, and improve infrastructure reliability. • Establish and enforce security best practices, including identity management, logging, and vulnerability management. • Work with development teams to improve deployment efficiency and troubleshoot infrastructure issues. • Optimize cloud resource utilization to ensure cost-effectiveness and scalability. • Automate infrastructure provisioning, configuration management, and system maintenance. • Stay up-to-date with emerging DevOps technologies, tools, and best practices.
• Design and implement scalable, reliable, and fault-tolerant systems across cloud environments. • Develop and maintain observability tools, including monitoring, logging, and alerting (e.g., Prometheus, Grafana, Datadog, ELK). • Automate infrastructure provisioning, deployment, and incident response using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. • Optimize system performance, scalability, and incident response workflows to improve uptime. • Work closely with development and DevOps teams to improve system design for reliability. • Conduct root cause analysis (RCA) and implement preventative measures to minimize failures. • Ensure high availability by designing and maintaining load balancing, failover, and disaster recovery strategies. • Improve CI/CD pipelines to enhance deployment speed while maintaining stability. • Optimize cloud cost and resource utilization for AWS, Azure, or Google Cloud Platform (GCP). • Participate in on-call rotations to quickly address system failures and minimize downtime.
