DevOps Engineer

We are looking for a DevOps Engineer to join our new Enterprise AI platform team.

This is an exciting opportunity to be part of a high-impact, highly technical group focused on solving some of the most 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.

You will play a critical role in shaping how we use technology, machine learning and data to accelerate innovation. This includes designing, building and deploying next-generation data engines and tools at scale.

This is a hybrid role, with an expectation of working from the Barcelona office one day per week.

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 work with them to 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, to enable 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 Cloud Formation

Strong software coding skills, with proficiency in Python, however 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, such as CodePipeline, CodeBuild and Code Deploy

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 a production standard

Experience on mentoring, coaching and supporting less experienced colleagues and clients

Experience with SAFe agile principles and practices

We offer

Private health insurance

EPAM Employees Stock Purchase Plan

100% paid sick leave

Referral Program

Professional certification

Language courses

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. In 2018, we opened an office in Spain that quickly 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 level

Employment type

Full-time

Job function

Engineering, Information Technology, and Business Development

Industries

Software Development and IT Services and IT Consulting

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