Senior DevOps Engineer with MLOps Focus (Remote, Europe Preferred)
Discoveries Quintessential is seeking a senior DevOps Engineer to lead infrastructure and deployment development for a pioneering MRV platform. The role involves designing scalable systems, implementing CI/CD pipelines, and collaborating with data and software teams. This is an opportunity to shape foundational systems in a purpose-driven, remote environment.
Key Highlights
Technical Skills Required
Benefits & Perks
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.