Remote DevOps Engineer: AI-Driven Infra & SRE

Coconut Software

United States

Remote

USD 105,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Health & Dental Benefits
Virtual care
Disability top up
WealthSimple GRSP & Matching
Annual Wellness Benefit
Remote work anywhere in Canada
Employee stock options
Internet Subsidy
Tiki Bucks Incentive Program
People First Company culture

Job summary

Coconut Software, the leading Branch Performance Platform, seeks an Intermediate DevOps Engineer to contribute to site reliability, cloud infrastructure, and CI/CD practices. You will work closely with senior engineers to improve reliability, stand up infrastructure for AI initiatives, and participate in on-call rotations to ensure application availability.

We value curiosity and continuous learning as we scale.

Qualifications

  • Bachelor's degree or equivalent experience.
  • 2–4 years of professional DevOps, Site Reliability, or Infrastructure experience.
  • Strong fundamentals in DevOps and willingness to grow expertise.
  • Experience with Kubernetes or other orchestration tools, cloud infrastructure, CI/CD pipelines, and Terraform.

Responsibilities

  • Plan, deploy, and maintain critical business applications with a focus on reliability.
  • Collaborate with senior engineers and cross-functional partners on on-call rotations.
  • Improve infrastructure reliability and CI/CD practices, including AI/LLM workloads.
  • Write automation and tooling in Python, Bash, or similar languages.

Skills

Kubernetes
CI/CD pipelines
Terraform
Cloud infrastructure concepts
Monitoring & alerting
Linux/Unix administration
Python/Go scripting
Networking basics
AWS/QoS/CloudWatch
Collaboration across teams

Education

Bachelor’s Degree or equivalent experience

Tools

Terraform
Docker
CloudWatch
Datadog

Job description

Coconut Software, the leading Branch Performance Platform, seeks an Intermediate DevOps Engineer to contribute to site reliability, cloud infrastructure, and CI/CD practices. You will work closely with senior engineers to improve reliability, stand up infrastructure for AI initiatives, and participate in on-call rotations to ensure application availability.

We value curiosity and continuous learning as we scale.

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