AI DevOps, Leadtech
Salary not provided
Docker
Kubernetes
Python
Bash
ELK
Prometheus
Kubeflow
Grafana
Git
Senior and Expert level
Barcelona
Remote from Spain
Online Project Development
Job no longer available
Online Project Development
501-1000 employees
B2CRecruitmentMarketingSaaSProduct ManagementeCommerce
Job no longer available
Salary not provided
Docker
Kubernetes
Python
Bash
ELK
Prometheus
Kubeflow
Grafana
Git
Senior and Expert level
Barcelona
Remote from Spain
501-1000 employees
B2CRecruitmentMarketingSaaSProduct ManagementeCommerce
Company mission
To bring forward new business ideas and empower employees to achieve their goals in the online business world.
Role
Who you are
- We’re looking for someone with a balance of hard and soft skills who can thrive in a dynamic, cross-functional environment
- 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
What the job involves
- 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
- 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
- Flextime (7 - 9:30 a.m. start, 3:30 - 6 p.m. end
Our take
Designing and adopting digital services can be inaccessibly expensive and complex for many businesses. Leadtech solves this problem by providing companies with innovative digital solutions.
Leadtech is well served by the diversity of its solutions, which has enabled it to build an impressive customer base. Its suite of tools covers everything from UX design to SEO, content to backend. This ensures that Leadtech has broad appeal to businesses looking for all-in-one digital solutions.
Leadtech has expanded considerably in recent years, now boasting an international team of over 250 people. Growing its talent will be an essential element of the company's continued success in the coming years, as will its commitment to innovation.
Steph
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Flexible timetable
- Barceloneta district, close to the beach
- Happy Fridays and team events
- Tickets Restaurant
- Fresh fruit and coffee
- Game room and terrace
Company HQ
La Barceloneta, Barcelona, Spain
Leadership
Germán Castillo
(CEO)Previously founded Grupo Germinet and advertising platform Solimba Aplicaciones.
Salary benchmarks
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