AI DevOps (Remote)
Spain - Remote
Leadtech
Leadtech; is an Online Innovation Technology company based in Barcelona. Learn more about who we are, the projects we manage and what we do.At Leadtech, we’ve been redefining digital businesses since 2009, creating innovative online solutions that reach millions of users every month. With a diverse team of over 700 members from 23+ nationalities, we’re united by a passion for creativity and collaboration.
We specialize in delivering user-centric experiences across web and mobile platforms, where people can connect with our products like never before.
We’re proud of our global reach and committed to fostering an inclusive workplace where every individual contributes to our shared vision of bringing cutting-edge projects to life. Learn more about our journey and mission on our About Us page!
ABOUT THE ROLE
We are building an AI Lab to support the development, deployment, and lifecycle management of AI models across various business verticals. As part of this initiative, we are looking for an AI DevOps Engineer to play a key leadership role in establishing scalable workflows, infrastructure, and best practices for managing AI models in production. This person will be instrumental in shaping the operational foundation of our AI capabilities, working closely with cross-functional teams to ensure reliable, efficient, and secure deployments.
The ideal candidate will have strong expertise in MLOps, with practical experience in CI/CD pipelines, cloud infrastructure management, and automation, as well as the ability to collaborate with internal and external stakeholders to drive AI adoption.
YOUR MISSION
As a AI DevOps at Leadtech, you will:
- Design, implement, and manage scalable CI/CD pipelines for the deployment and lifecycle management of AI models and related applications.
- Conduct technical investigations of AI models, focusing on both inputs and outputs, evaluating performance, scalability, and cost-efficiency by comparing resource consumption (e.g., GPU, CPU, token usage). The engineer will also be responsible for testing models iteratively in sprints for internal demos via Scrum to ensure they meet business requirements and are production-ready.
- Automate the deployment, monitoring, and maintenance of AI-powered applications in production environments, ensuring scalability, reliability, and performance.
- Continuously improve workflows by implementing best practices in automation, orchestration, and monitoring, ensuring that AI models are efficiently integrated into production systems.
- Optimize infrastructure usage and manage costs, ensuring that cloud resources are used effectively without compromising performance or scalability.
- Implement containerization and orchestration strategies using tools such as Docker and Kubernetes to ensure scalable and fault-tolerant deployments.
- Establish and enforce security best practices for AI-centric workloads, including data encryption, access controls, and vulnerability management.
- Collaborate with cross-functional teams, including data scientists, software developers, and business teams, to ensure that AI models are integrated seamlessly into production workflows and meet business needs.
- Take ownership of AI model demonstrations, preparing and showcasing how models perform in production to Product Owners (POs) during internal sprints.
- Develop and implement logging, monitoring, and alerting frameworks to ensure system reliability and uptime for AI services.
- Participate in incident response processes, troubleshooting and resolving issues related to AI pipelines and infrastructure.
- Stay updated on industry trends, tools, and best practices in DevOps, MLOps, and AI infrastructure to drive continuous improvement.
Requirements
WHAT WILL MAKE YOU STAND OUT FROM THE CROWD
We’re looking for someone with a balance of hard and soft skills who can thrive in a dynamic, cross-functional environment. Here’s what we’d love to see:
- Proven experience as a DevOps Engineer, preferably with exposure to AI/ML workflows and production environments.
- Strong knowledge of CI/CD pipelines and best practices for automated deployment in cloud environments.
- Hands-on experience with containerization and orchestration tools, particularly Docker and Kubernetes.
- Proficiency in cloud infrastructure management, with the ability to optimize resource usage and costs while maintaining performance and scalability.
- Expertise in monitoring tools such as Prometheus, Grafana, or the ELK stack, and log management systems.
- Proficiency in scripting and automation using Python, Bash, or similar languages.
- Deep understanding of version control systems and branching strategies (e.g., Git).
- Experience with MLOps frameworks such as MLflow, Kubeflow, or similar tools for model training, versioning, and retraining in production.
- Knowledge of security best practices in DevOps pipelines and cloud environments, including data encryption, access controls, and vulnerability management.
- Ability to collaborate with cross-functional teams, including operations, data science, and business teams, to ensure seamless model integration and alignment with business goals.
- Strong communication skills, with the ability to lead meetings involving stakeholders from diverse backgrounds, ensuring clear alignment between technical and non-technical teams.
- Experience engaging with external vendors and stakeholders, demonstrating the ability to ask the right technical and business questions to gather the necessary information for decision-making, and create reports that clearly communicate the big picture to business stakeholders, helping them understand the impact and value of AI solutions.
- Problem-solving mindset and proactive approach to reduce downtime and optimize model operations based on performance and cost metrics.
- Experience in working within Scrum frameworks, contributing to sprints by iteratively improving AI models and ensuring they are ready for internal demos and production deployment.
- Strong troubleshooting skills, with the ability to quickly diagnose and resolve issues in AI pipelines and infrastructure.
Benefits
WHY SHOULD YOU JOIN US?
Growth and career development
- At Leadtech, we prioritize your growth. Enjoy a flexible career path with personalized internal training and an annual budget for external learning opportunities.
Work-Life balance
- Benefit from a flexible schedule with flextime (7 - 9:30 a.m. start, 3:30 - 6 p.m. end) and the option of working full remote or from our Barcelona office. Enjoy free Friday afternoons with a 7-hour workday, plus a 35-hour workweek in July and August so you can savor summer!
Comprehensive benefits
- Competitive salary, full-time permanent contract, and top-tier private health insurance (including dental and psychological services).
- 25 days of vacation plus your birthday off, with flexible vacation options—no blackout days!
Unique Perks
- If you wish to come, in our office in Barcelona you’ll find it coplete with free coffee, fresh fruit, snacks, a game room, and a rooftop terrace with stunning Mediterranean views.
- Additional benefits include ticket restaurant and nursery vouchers, paid directly from your gross salary.
Join us in an environment where you’re free to innovate, learn, and grow alongside passionate professionals. At Leadtech, you’ll tackle exciting challenges and be part of a vibrant team dedicated to delivering exceptional user experiences
Equal Employment Opportunity Employer:
Leadtech is an Equal Employment Opportunity (EEO) Employer, which means we encourage applications from people with different backgrounds, interests, and personal circumstances. Our team welcomes applicants regardless of their race, gender, age, religion, nationality, sexual orientation, and/or disabilities. All we need is your high energy, skills, and willingness to be a part of a great project!
Location
You'll have the flexibility to choose whether you'd like to come to the office every day, from time to time, or work fully remote. We want you to find the best combination for you.
If you prefer to be surrounded with amazing people, our exceptional office is in Barcelona’s Blue Building, located right on the city's seafront. Besides our stunning views, you’ll enjoy our office perks such as free fruit, snacks, and coffee and you’ll also be able to take part in our Mario Kart and table tennis competitions.
The personal data you provide will be processed in order to manage your candidacy for the corporate selection processes that fit your profile. If you wish, you can exercise your rights of access, rectification or cancellation by writing to our address (Avenida Litoral, 12-14, 5ta planta. Barcelona. 08005) or to the email address protecciondedatos@LeadTech.com, attaching to your request a document that can validate your identity.
Leadtech is an Equal Employment Opportunity (EEO) Employer, which means we encourage applications from people with different backgrounds, interests, and personal circumstances. Our team welcomes applicants regardless of their race, gender, age, religion, nationality, sexual orientation, gender identity, gender expressión and/or disabilities. All we need is your high energy, skills, and willingness to be a part of a great project!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CI/CD DevOps Docker ELK Git GPU Grafana Kubeflow Kubernetes Machine Learning MLFlow ML infrastructure MLOps Model training Pipelines Python Scrum Security Testing
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Snacks / Drinks
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