DevOps Engineer with Python

We are looking for a Software Engineer with DevOps expertise and Python experience who can provide support to product teams, and CI/CD processes, and someone who can also help with infrastructure changes. This is a senior role as the work will impact multiple teams (18-25 teams). Work hours will have little overlap with NA hours (7 a.m. PST- 11 a.m. PST – 16.00 – 20.00 CET).

You will be building automation to enable machine learning engineers to continuously deliver predictive analytics for athlete performance, forecasting, personalization, and inventory optimization. You will work with a team of architects, platform engineers, and machine learning engineers to invent new and interesting models, test them, and produce and scale them in the cloud as APIs, stream processing or massive batch processing.

Your tasks

Design and implement public and internal APIs as well as event and streaming-based services
Build Tests and Pipeline for automated Deployment
Establish Monitoring and Alerting for custom infrastructure
Support investigation of new cloud services, software packages/tools, APIs, container management, and distributed systems, to continuously deliver quality analytics and machine learning at scale
Batch data pipelines for machine learning for massive data sets
Enable rapid iteration and product quality through continuous A/B testing
Design, implement, and maintain solutions/platforms
Build cloud infrastructure for machine learning following the MLOps model
Collaborate with a cross-functional agile team of software engineers, data engineers, ML experts, and others to build new product features

Requirements

At least 5 years of experience in a similar role
Availability to work with US timezone (7 a.m. PST- 11 a.m. PST), which is 16:00 – 20:00 CET, other 4 hours are flexible
Previous work with infrastructure as code with Terraform
Strong Python programming knowledge, shell scripting, and SQL
Proficiency in CI/CD infrastructure using Git, Jenkins, or similar tools
Experience with any system configuration management tool, such as Ansible, Puppet, or Chef
Knowledge of Docker, Mesos, containers, and related tools and systems
Ability to work with AWS components and services, particularly, IAM, ECS/EKS, EMR, S3, and Lambda/Serverless
Fluent English

Nice to have

Experience with Databricks, Spark, Snowflake

Job no. 250210-2FE8T

DevOps Engineer with Python

Key Skills

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