Overview
We are looking for a Cloud Engineer to join our new Enterprise AI platform team. This role is hybrid, with the expectation of occasional office visits in Barcelona. You will join a high-impact, highly technical group focused on solving challenging machine learning problems in the Life Sciences & Healthcare industry. You will bring proven experience in AWS cloud environments and a strong track record of designing and deploying large-scale production infrastructure and platforms.
Responsibilities
- Develop and maintain the essential infrastructure and platform required to deploy, monitor and manage ML solutions in production, ensuring they are optimized for performance and scalability.
- Collaborate closely with data science teams in developing cutting edge data science, AI / ML environments and workflows on AWS.
- Liaise with R&D data scientists to understand their challenges and help productionize ML pipelines, models and algorithms for innovative science.
- Take responsibility for all aspects of software engineering, from design to implementation, QA and maintenance.
- Lead technology processes from concept development to completion of project deliverables.
- Liaise with other teams to enhance our technological stack, enabling the adoption of the latest advances in data processing and AI.
Requirements
Significant experience with AWS cloud environments is essential. Knowledge of SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step Functions, EKS and ECS is also essential.Modern DevOps mindset, using best DevOps tools, such as Docker and Git.Experience with infrastructure as code technology such as Ansible, Terraform and CloudFormation.Strong software coding skills, with proficiency in Python; exceptional ability in any language will be recognized.Experience managing an enterprise platform and service, handling new client demand and feature requests.Experience with containers and microservice architectures (e.g., Kubernetes, Docker and serverless approaches).Experience with Continuous Integration and building continuous delivery pipelines (e.g., CodePipeline, CodeBuild and CodeDeploy).GxP experience.Excellent communication, analytical and problem-solving skills.Nice to have
Experience building large-scale data processing pipelines (e.g., Hadoop / Spark) and SQL.Use of Data Science modelling tools (e.g., R, Python) and Data Science notebooks (e.g., Jupyter).Multi-cloud experience (AWS / Azure / GCP).Demonstrable knowledge of building MLOps environments to production standards.Experience mentoring, coaching and supporting less experienced colleagues and clients.Experience with SAFe agile principles and practices.We offer
Private health insuranceEPAM Employees Stock Purchase Plan100% paid sick leaveReferral ProgramProfessional certificationLanguage coursesAbout EPAM
EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. We opened an office in Spain in 2018 that grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.
Why Join EPAM
WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project / Delivery Manager.STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
Engineering, Information Technology, and Business DevelopmentIndustries
Software Development and IT Services and IT Consulting#J-18808-Ljbffr
