Senior MLOps Engineer

About seQura

SeQura provides innovative, flexible and easy-to-use payments technologies that help merchant acquire, convert and retain more customers.

We make a differnece in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education (EduQa), Opstics (OptiQa), Repairs and Travel.

We also empower smart shopping to consumer who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable instalments of up to 24 months.

Born in Barcelona, seQura is a privately-owned fintech in the scaleup phase. Present in southern Europe and Latin America, we are growing above 50% CAGR and approaching 100 Million in Annual Recurring Revenue. Over 5000 businesses, almost 3 million shoppers, and 350+ employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.7/5.

About the role🤓

At SeQura, we're building a state-of-the-art ML Platform to enable our DS with all the necessary resources to experiment, develop, and deploy models in production. To expand our team, we're looking for a new colleague to join. Would you like to be part of it?

What challenges you'll be solving 🚀

• Be part of a team that's building an ML Platform in AWS to experiment, deploy, and monitor several models and their versions.

• Understand the user needs (data scientists, business stakeholders) and translate them into Product iterations.

• Prioritize, plan, and design core components and functionalities.

• Develop an ML Platform and custom libraries with distributed ownership in mind.

• Assist the DSs in their usage of the platform components through User guides, Demos, and personal assistance when needed.

What we offer 😎

We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.

One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.

In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.

• 23 vacation days + 2 days of free disposal per year.

• Professional development that includes access to a language learning platform with courses available for 24 languages, including both group and private classes.

• Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.

• Health insurance discounts with Sanitas and DKV.

• Competitive salary and performance-based bonuses.

• Urban mobility by using your own bike with Kleta.

Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.

Requirements

What you’ll need 🤝

• ML Platform knowledge: You have developed an ML Platform in the past, and know the specific components comprising it.

• Python sensei: Good knowledge and prior experience of software engineering with an object-oriented language, applying good practices in terms of Domain Driven Design and clean code, among others.

• Surfing Platforms: Experience building and maintaining infrastructure as code in Cloud services, ideally in AWS.

• A DevOps / MLOps mindset.

• Communication and interpersonal skills: willing to collaborate effectively with team members and stakeholders.

It will be useful if:

• You've worked with AWS Sagemaker.

• You don't deploy anything without being declared with Terraform.

• You have implemented CICD pipelines in the past.

• You have experience building your ML models.

Our stack:

• AWS

• AWS Sagemaker

• Terraform / terragrunt

• Github Actions / Jenkins

• MLFlow

• Python

Which are the next steps? 🙌

1. HR interview

2. Technical assessment

3. Interview with Director of Engineering

4. Meet the team

We kindly ask that you submit your CV in English, as it is the official language of our community.

We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.

Do you want to be part of the change? Join us!👇