Senior DevOps Engineer

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AI Summary

Lead DevOps initiatives, design scalable infrastructure, and maintain MLOps and CI/CD pipelines for a remote, international team building a carbon tracking platform.

Key Highlights
Design and implement scalable deployment infrastructure
Develop and maintain MLOps and CI/CD pipelines
Collaborate with data scientists and software engineers
Ensure system reliability, scalability, and performance
Technical Skills Required
Nomad Kubernetes Terraform Python AWS GCP TypeScript React SQL
Benefits & Perks
Flexible compensation based on experience and location
Fully remote work
Europe-based candidates preferred

Job Description


Job Title: DevOps Engineer

Location: Fully Remote (Preference for Europe-based candidates)

Experience Level: 4+ years

Compensation: Flexible, based on experience and location


About Company:

WE are building the world’s most advanced MRV (Measurement, Reporting & Verification) platform for carbon tracking. Our platform leverages cutting-edge machine learning and real scientific data to help organizations worldwide monitor and improve their carbon performance.

We’re a fully remote, close-knit international team driven by a shared passion for sustainability, innovation, and delivering a world-class product.


Role Overview

We’re looking for our first DevOps Engineer to lead all DevOps initiatives and help shape the foundation of our infrastructure. This is a unique opportunity to build systems from the ground up, working directly with our CTO in a highly collaborative, science-focused environment.


Key Responsibilities

  • Design and implement scalable deployment infrastructure from scratch.
  • Develop and maintain MLOps and CI/CD pipelines for smooth production workflows.
  • Collaborate closely with data scientists and software engineers to streamline experimentation and resolve technical challenges.
  • Ensure system reliability, scalability, and performance across environments.


Requirements

  • 4+ years of experience in DevOps, MLOps, or related fields.
  • Strong knowledge of Nomad, Kubernetes, or similar orchestration tools.
  • Proficiency in Infrastructure as Code (IaC), particularly Terraform.
  • Solid understanding of CI/CD tools and machine learning pipelines.
  • Excellent communication, collaboration, and problem-solving skills.
  • Comfortable working within CET (±3 hours) or US East Coast time zones.


Our Tech Stack

We value language-agnostic engineers who can adapt quickly. You don’t need to know everything — just a few core technologies and the curiosity to learn the rest.

Our stack includes: Python, AWS, GCP, TypeScript, React, SQL.


What Makes You a Great Fit

You will thrive with us if you:

  • Are ambitious and open to continuous learning and feedback.
  • Take ownership of projects and balance speed with quality.
  • Learn fast and are comfortable diving into new technologies.
  • Understand that startup life includes managing tech debt pragmatically.
  • Focus on impactful work and avoid unnecessary complexity.
  • Collaborate well in a merit-driven environment where the best ideas win.
  • Use LLM tools effectively to boost productivity and innovation.


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