Senior Application Platform Engineer / MLOps

Phiture; Lisboa; Teletrabalho; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

A top-tier digital subscription service is seeking a Senior Application Platform Engineer/MLOps to work on scalable model deployment pipelines. The role requires strong expertise in Python and Terraform, with a focus on ML engineering, infrastructure, and software development. This fully remote opportunity emphasizes professional growth with 30 days of paid vacation and flexible work hours. Competitive pay is offered, along with a supportive international team environment.

Serviços

Competitive Pay

Remote Flexibility

Professional Growth

Work-Life Balance

Inclusive Culture

Cool Perks

Qualificações

• 4-5+ years as a software/infrastructure engineer.
• Strong hands-on experience with Python and Terraform.
• Experience across ML, infrastructure, and software engineering.

Responsabilidades

• Build and maintain model deployment and monitoring pipelines.
• Manage cloud infrastructure with Terraform.
• Provide guidance to ML engineers on deployment.

Conhecimentos

Python

Terraform

ML Engineering

Infrastructure Engineering

Software Engineering

Ferramentas

AWS (Sagemaker, Aurora, Dynamo, ECS)

Bash

GitHub Actions

Descrição da oferta de emprego

Overview

We’re looking for a Senior Application Platform Engineer / MLOps to join our client — a leading American digital content platform with millions of users and a massive library of ebooks, audiobooks, and documents.

You’ll be working at the intersection of ML Engineering, Infrastructure, and Software Engineering to build scalable and efficient model deployment pipelines, internal tooling, and automation workflows.

This is a long-term, fully remote opportunity with a supportive international team and plenty of room for ownership.

Responsibilities

• Operate at the intersection of ML Engineering, Infrastructure Engineering, and Software Engineering
• Build and maintain model deployment and monitoring pipelines (AWS Sagemaker)
• Create and maintain client libraries used by internal ML teams
• Manage cloud infrastructure with Terraform
• Write production-ready scripts in Python, or Bash
• Provide guidance to ML engineers on model deployment and operations
• Maintain clean and clear internal documentation and runbooks

Qualifications

• 4–5+ years of experience as a software/infrastructure engineer
• Strong hands-on experience with Python and Terraform
• Solid understanding of algorithms and data structures
• Experience operating across ML, infrastructure, and software engineering disciplines
• Upper-Intermediate English or higher

Nice to Have

• Experience in Scala or Ruby (language polyglots are highly welcome)
• Understanding of how ML models are trained
• Scripting with Bash/Python
• GitHub Actions pipelines
• Experience with AWS Sagemaker
• Interest in trying to work with Go

About The Project

Client is an American e-book and audiobook subscription service that includes one million titles. The platform hosts 60 million documents on its open publishing platform. ML Engineering builds robust foundational capabilities for Scribd, by solving hard challenges at the intersection of infrastructure and rapidly evolving ML landscape, enabling future product needs.

Platform Tech Stack: Terraform, Python, Ruby, Go, AWS (Sagemaker, Aurora, Dynamo, ECS), Apache Spark (Python/Scala), Bash, GitHub Actions.

Working Conditions

• Work schedule: Standard working hours for CET, with occasional evening meetings (no later than 8 PM local time)
• Fully Remote: Flexibility to work from anywhere across Europe
• Engagement: Long-term

Interview process

• HR Interview: Initial discussion with our recruiter ~ 30-45 min.
• KITRUM’s Technical Interview ~ 1.5 hours
• Client Interview

Why you’ll love working here

• Competitive Pay: We offer a compensation that reflects your skills and experience
• Remote Flexibility: Work from anywhere — our team is distributed across the globe
• Professional Growth: Access to continuous learning opportunities, including paid courses, certifications, mentorship
• Work-Life Balance: 30 days of paid vacation and 6 paid sick days per year, plus flexible hours
• Inclusive Culture: We embrace diversity and foster a culture of trust, transparency, and mutual respect
• Cool Perks: Join our virtual team events, get a budget for your home office setup, and enjoy access to exclusive content and tools