Iconma Portal
Senior Cloud DevOps Engineer – AWS, Kubernetes & Terraform
- Compensation
- $46 / hr
- Location
- Troy, Missouri, United States
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- Bachelor’s degree in computer engineering / Software Engineering / Electrical Engineering / Computer Science or equivalent
- Experience
- 7+ years of experience working as DevOps, SRE, PE or infrastructure engineering experience.
- 5+ years of hands-on experience with cloud platforms, especially AWS (GCP or Azure a plus).
- Advanced Linux systems expertise, including deep knowledge of systemd, cgroups, namespaces, OS tuning, and production hardening.
- Deep Kubernetes and cloud networking knowledge beyond fundamentals (e.g., CNI plugins, Service Mesh, and advanced ingress patterns).
- Experience managing Kubernetes clusters and containerized workloads (EKS / Docker).
- Expertise in Terraform and infrastructure automation practices.
- Proficiency in scripting with Python and Bash.
- Experience with tools like Git, Jenkins, and artifact repositories.
- Familiarity with networking fundamentals such as DNS, DHCP, VPN, and LDAP.
- Experience with monitoring and logging systems such as DataDog, Prometheus, Grafana, ELK, or equivalent.
- Strong understanding of cloud networking, VPCs, security groups, and IAM policies.
- Comfortable working with Agile teams and tools like JIRA and Confluence
- Nice To Have
- Experience with Helm and managing Kubernetes via Helm charts.
- Exposure to hybrid environments (cloud + on-prem).
- Familiarity with secrets management tools (e.g., HashiCorp Vault, AWS Secrets Manager).
- Experience mentoring engineers or leading DevOps initiatives.
Full description
Our Client, an IT Services and Consultant company, is looking for a Senior Cloud DevOps Engineer – AWS, Kubernetes & Terraform for their Troy, MO/ Lowell, MA/Hybrid location.
Responsibilities:
- Design and manage infrastructure using AWS, Kubernetes, and Terraform, with a focus on Terraform module design, remote state management, and policy-as-code.
- Implement GitOps practices using tools like Flux or Argo CD for declarative, version-controlled environment management and drift detection.
- Take ownership of Kubernetes as a Service (KaaS) platforms, including multi-cluster lifecycle management, version upgrades, and advanced autoscaling strategies.
- Troubleshoot complex traffic flows and optimize cloud networking, including CNI configurations, ingress controllers, and load balancing.
- Build and support CI/CD pipelines to enable efficient and reliable deployments.
- Automate infrastructure provisioning and configuration using tools like Ansible, Puppet, or Chef.
- Write and maintain infrastructure-as-code and configuration-as-code for all environments using Terraform.
- Monitor, troubleshoot, and optimize infrastructure performance, availability, and cost.
- Integrate and manage third-party tools, plug-ins, and internal scripts as needed.
- Create and maintain technical documentation, including runbooks and architecture diagrams.
- Participate in on-call rotations and contribute to improving incident response processes.
- Collaborate cross-functionally to ensure infrastructure meets application and business needs.
Requirements:
- Bachelor’s degree in computer engineering / Software Engineering / Electrical Engineering / Computer Science or equivalent
- Experience
- 7+ years of experience working as DevOps, SRE, PE or infrastructure engineering experience.
- 5+ years of hands-on experience with cloud platforms, especially AWS (GCP or Azure a plus).
- Advanced Linux systems expertise, including deep knowledge of systemd, cgroups, namespaces, OS tuning, and production hardening.
- Deep Kubernetes and cloud networking knowledge beyond fundamentals (e.g., CNI plugins, Service Mesh, and advanced ingress patterns).
- Experience managing Kubernetes clusters and containerized workloads (EKS / Docker).
- Expertise in Terraform and infrastructure automation practices.
- Proficiency in scripting with Python and Bash.