DevOps Automation Engineer

Network Routing Containerization Docker (Software) Incident Response Amazon CloudWatch Performance Tuning Workflow Management Systems Engineering Amazon Web Services Cloud-Native Computing Artificial Intelligence C# (Programming Language) Engineering Design Process Cloud-Native Infrastructure Site Reliability Engineering Infrastructure as Code (IaC) Amazon Elastic Compute Cloud Continuous Improvement Process Virtual Private Networks (VPN) Amazon Elastic Container Service Troubleshooting (Problem Solving), This DevOps Automation Engineer role sits within a platform operations team and focuses on supporting and scaling AWS-based production environments in a global, regulated MedTech context. The position emphasizes site reliability engineering and platform operations over CI/CD-heavy development, with a strong focus on automation, incident response, and system reliability. The engineer will act as a plug-and-play resource, quickly ramping up on the existing stack to ensure high availability, robust security, and consistent performance across cloud infrastructure., * 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.
• Participate in incident response, take ownership of production issues end-to-end, and coordinate resolution efforts with relevant stakeholders.
• 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., Network Routing Containerization Docker (Software) Incident Response Amazon CloudWatch Performance Tuning Workflow Management Systems Engineering Amazon Web Services Cloud-Native Computing Artificial Intelligence C# (Programming Language) Engineering Design Process Cloud-Native Infrastructure Site Reliability Engineering Infrastructure as Code (IaC) Amazon Elastic Compute Cloud Continuous Improvement Process Virtual Private Networks (VPN) Amazon Elastic Container Service Troubleshooting (Problem Solving) +0 Login | JoinContact

DevOps Splunk Datadog Ansible Firewall Debugging Scripting Terraform Visionary Pipelines Operations Automation Innovation Encryption Scalability Reliability Communication Observability Collaboration Virtual Teams .NET Framework Key Management, * 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.
• Proven experience supporting and troubleshooting core AWS services such as EC2, ECS, RDS, IAM, and networking components.
• Demonstrated experience using Ansible for automation, including building, testing, and maintaining Ansible playbooks.
• Experience working with Terraform, including running, debugging, and reviewing Infrastructure-as-Code configurations.
• 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., * 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., DevOps, Splunk Datadog Ansible Firewall Debugging Scripting Terraform Visionary Pipelines Operations Automation Innovation Encryption Scalability Reliability Communication Observability Collaboration Virtual Teams .NET Framework Key Management

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