Sr. DevOps Engineer

PAR Technology is a restaurant technology company providing software and hardware solutions for restaurant brands worldwide. The company is seeking a Senior DevOps Engineer to design, automate, and support AWS cloud infrastructure and a Kubernetes-based application platform, with a focus on reliability, scalability, security, observability, and deployment automation. The role will also support production systems, incident response, CI/CD improvements, and infrastructure standards.

Responsibilities:

• Build and maintain AWS infrastructure using OpenTofu
• Operate Kubernetes workloads on Amazon EKS
• Manage GitOps deployments using Argo CD and Helm
• Develop automation and operational tooling using Python and scripting languages
• Support AWS services including Amazon EKS, Aurora PostgreSQL, ElastiCache Redis, Amazon MQ for RabbitMQ, load balancers, IAM, VPC networking, DNS, and security groups
• Implement monitoring, dashboards, alerts, logs, metrics, and tracing using Datadog
• Troubleshoot production issues and support incident response and root cause analysis
• Participate in an on-call rotation to support production systems, respond to incidents, and assist with after-hours maintenance or escalations as needed
• Improve CI/CD pipelines, release automation, and deployment reliability
• Partner with engineering and security teams to improve infrastructure standards, operational readiness, and cloud security
• Create and maintain technical documentation, runbooks, and operational procedures

Requirements:

• 5+ years of experience in DevOps, Infrastructure Engineering, Site Reliability Engineering, Cloud Engineering, or a similar role
• Strong hands-on experience with AWS cloud infrastructure
• Production experience with Kubernetes
• Experience with Infrastructure as Code using OpenTofu, Terraform, or similar tools
• Experience with Argo CD, Helm, and GitOps-based deployment workflows
• Strong scripting or development experience with Python
• Experience supporting Aurora PostgreSQL, ElastiCache Redis, and Amazon MQ for RabbitMQ in production environments
• Experience with Datadog or similar observability platforms
• Strong understanding of cloud networking, including VPCs, subnets, routing, security groups, DNS, TLS, ingress, and load balancing
• Strong troubleshooting, communication, and collaboration skills
• AWS, Amazon EKS, Aurora PostgreSQL, ElastiCache Redis, Amazon MQ for RabbitMQ, AWS Load Balancers, IAM, VPC networking
• OpenTofu, Terraform, Infrastructure as Code, Kubernetes, Helm, containers, ingress, services, ConfigMaps, Secrets, autoscaling
• Argo CD, GitOps, CI/CD, release automation, Python, Bash or shell scripting, Datadog, metrics, logs, tracing, dashboards, alerting
• Experience supporting high-availability SaaS or customer-facing platforms
• Experience with Kubernetes autoscaling, ingress controllers, cluster upgrades, and resource optimization
• Experience with backup, restore, disaster recovery, and capacity planning
• Familiarity with AWS Well-Architected principles and cloud security best practices
• Experience with GitHub Actions, GitLab CI, Jenkins, or similar CI/CD tools
• Experience supporting message broker platforms such as RabbitMQ or Amazon MQ
• Strong ownership mindset, operational discipline, and a passion for automation, reliability, and continuous improvement
• Ability to communicate clearly with technical and non-technical stakeholders, with a willingness to mentor others
• preferably Amazon EKS
• AWS or Kubernetes certifications are a plus