Devops Automation Engineer

Responsibilities

• Support and operate production AWS environments to ensure high availability, reliability, and performance across global operations.
• Troubleshoot production issues across infrastructure, services, and cloud-native components, driving timely resolution and root cause analysis.
• Build, test, and maintain automation solutions using Ansible to streamline application and infrastructure workflows.
• Leverage, run, and troubleshoot existing Infrastructure-as-Code implementations using Terraform, including reviewing and debugging code as needed.
• Work with existing CI/CD pipelines to support deployment workflows and ensure reliable delivery of changes to production environments.
• Monitor system performance and health using tools such as Datadog and Amazon CloudWatch, responding proactively to alerts and performance anomalies.
• Implement and support AWS security best practices, including IAM configuration, encryption, and key management, to maintain a secure production environment.
• Collaborate with global teams to support ongoing cloud initiatives and migrations, ensuring alignment with platform standards and operational best practices.
• Provide operational input and guidance on platform design, reliability, and scalability based on deep AWS and Linux expertise.
• Act as an SRE-style operator, owning production environments and contributing to continuous improvement of reliability and automation.

Requirements

• 5–10+ years of experience in DevOps, Site Reliability Engineering (SRE), or Platform Operations roles.
• Strong, hands-on experience with AWS in production support environments, with deep expertise rather than surface-level exposure.
• Prior experience in production support and SRE, including incident response, system ownership, and maintaining uptime for critical systems.
• Strong Linux systems experience, including administration, troubleshooting, and performance tuning in production environments.
• Solid understanding of AWS security best practices, including IAM, encryption, and key management.
• Strong troubleshooting skills across automation, AWS services, service reliability, and networking technologies.
• Ability to operate as a plug-and-play resource, quickly ramping up on the existing technical stack and taking ownership of production responsibilities.
• Comfort working in time zones aligned with Eastern or Central hours to support production coverage.

Qualifications

• Experience with Datadog or other monitoring tools such as Amazon CloudWatch, Splunk, or AppDynamics.
• Exposure to containerization technologies, including Docker and AWS ECS or EKS/Kubernetes.
• Hands-on AWS networking experience, including VPCs, routing, VPNs, firewalls, DNS, and transit gateways.
• Experience working in regulated environments such as MedTech, healthcare, or similar industries.
• AWS certifications at the Associate or Professional level.
• Software development experience, for example with C#, .NET, or scripting languages.
• Experience supporting monitoring and observability migrations, such as moving from CloudWatch to Datadog.
• Strong communication and collaboration skills to work effectively with global teams and cross-functional stakeholders.