Intermediate DevOps Engineer

coconutsoftware; United States; Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health and dental coverage

Internet subsidy

Retirement savings matching

Incentive program

Job summary

coconutsoftware is seeking an experienced DevOps Engineer to join an infrastructure team focused on reliability, continuous delivery, and AI workload readiness. You will work with senior engineers on cloud operations, Kubernetes orchestration, automation, monitoring, and deployment improvements.

The role includes participating in a shared production on-call rotation and collaborating across teams to plan, deploy, and maintain critical applications.

Qualifications

• Bachelor’s degree or equivalent practical experience, plus two to four years in DevOps, site reliability, or infrastructure work.
• Working knowledge of DevOps fundamentals, Kubernetes or other orchestration systems, cloud infrastructure, and CI/CD pipelines.
• Experience managing cloud resources with Terraform, including basic familiarity with modules and workspaces.
• Familiarity with monitoring and alerting tools such as Datadog, Prometheus, Grafana, or CloudWatch.
• Foundational Linux or Unix administration, scripting or programming, and networking concepts such as DNS, IP addressing, and access control lists.
• Clear communication, critical thinking, and collaboration skills; familiarity with task tracking and sprint planning tools.

Responsibilities

• Help plan, deploy, and maintain critical applications, contributing scoped reliability work alongside experienced engineers.
• Assist with Kubernetes cluster operations and improve infrastructure and deployment practices.
• Enhance CI/CD pipelines and cloud-based continuous deployment so teams can release safely and reliably.
• Build automation and internal tools with Python, Bash, or similar languages, and help manage cloud resources and databases such as MySQL.
• Improve monitoring, alerting, and observability; investigate recurring operational issues with IT and business partners and support incident response.
• Contribute to infrastructure for AI initiatives, including cloud AI services and workloads, and take part in the shared on-call rotation.

Skills

DevOps fundamentals

Kubernetes

CI/CD pipelines

Scripting (Python/Bash)

Networking concepts

Communication & collaboration

Linux/Unix

Education

Bachelor's degree or equivalent

Tools

Terraform

Datadog

Prometheus

Grafana

CloudWatch

Job description

Role overview

Join an infrastructure team supporting the reliability and continuous delivery of business applications. You will work with senior engineers on cloud operations, Kubernetes, automation, monitoring, and deployment improvements, while helping build and operate infrastructure for emerging AI workloads. The role includes participation in a shared production on-call rotation.

Responsibilities

• Help plan, deploy, and maintain critical applications, contributing scoped reliability work alongside experienced engineers.
• Assist with Kubernetes cluster operations and improve infrastructure and deployment practices.
• Enhance CI/CD pipelines and cloud-based continuous deployment so teams can release safely and reliably.
• Build automation and internal tools with Python, Bash, or similar languages, and help manage cloud resources and databases such as MySQL.
• Improve monitoring, alerting, and observability; investigate recurring operational issues with IT and business partners and support incident response.
• Contribute to infrastructure for AI initiatives, including cloud AI services and workloads, and take part in the shared on-call rotation.

Requirements

• Bachelor’s degree or equivalent practical experience, plus two to four years in DevOps, site reliability, or infrastructure work.
• Working knowledge of DevOps fundamentals, Kubernetes or other orchestration systems, cloud infrastructure, and CI/CD pipelines.
• Experience managing cloud resources with Terraform, including basic familiarity with modules and workspaces.
• Familiarity with monitoring and alerting tools such as Datadog, Prometheus, Grafana, or CloudWatch.
• Foundational Linux or Unix administration, scripting or programming, and networking concepts such as DNS, IP addressing, and access control lists.
• Clear communication, critical thinking, and collaboration skills; familiarity with task tracking and sprint planning tools.

Benefits and work setup

• Remote work from anywhere in Canada, with health and dental coverage, virtual care, disability support, and mental health resources.
• Retirement savings matching, a yearly wellness allowance, an internet subsidy, employee options, and an incentive program.