Senior DevOps Engineer

Job Posting Details:

Orangetheory® Fitness is one of the fastest-growing global fitness franchises with studios located throughout the United States as well as internationally. We are a scientifically designed, one-of-a-kind, group personal training workout broken into intervals of cardiovascular and strength training. Led by highly skilled coaches, each Orangetheory Fitness workout incorporates endurance, strength and power elements through a variety of equipment including treadmills, rowing machines, TRX® suspension training and free weights. We have over 1,300 locations open in the US. We currently operate 150+ International studios in 22 countries with more than 400 new fitness studios under development across the nation and internationally.

SUMMARY/OBJECTIVE

We are looking for a passionate and experienced Sr. DevOps Engineer to join the ML and Analytics team at?Orangetheory® Fitness. This is a senior position perfect for an experienced DevOps engineer looking for an opportunity to join a leader in the fitness franchise industry. If you are keen on getting in on projects on the ground floor, helping support and deploy the architectures and ETL pipelines for the movement of large amounts of data, and enabling the end to end deployment of complex ML pipelines, this is the team for you.?

The Sr. DevOps Engineer will use a breadth of knowledge to maintain and deploy a stable and secure infrastructure that facilitates all things data and analytics. You will have an almost fanatical need for infrastructure as code. You will demonstrate a comfort with ambiguity and play the role of a technical leader, guiding simple yet creative solutions to complex problems. The end-to-end analytics enabled by this role will be critical in drawing insight from large and complex data sets and?using these insights to drive analytical thinking at all levels of the company.

ACCOUNTABILITIES

Complete ownership of the Dev, Staging and Production AWS environments for the Data and Analytics organization

Collaborate closely with Data Engineer, ML scientists and BI engineers/analysts to facilitate fast and efficient algorithm and infrastructure deployment

Maintain reusable config driven modules for increased deployment efficiency across the Analytics org

Create a learning environment for engineering resources, enabling them to own their own infrastructure

Embed SRE into all aspects of infrastructure and the SDLC

Protect the security of the AWS environments at all costs

Continuous integration, automation, change control, as well as scalable and performant designs

Quickly identify weaknesses and lapses in infrastructure and security modules and work to remediate them

Provide mentorship and thought partnership to data engineers, scientists and analyst across the analytics organization

Make the environment more available; when needed.

REQUIREMENTS & SKILLS

Bachelor’s degree in a quant/tech field like Computer Science or Computer Engineering

5+ years of experience deploying flexible and secured AWS environments

5+ years of experience working in an AWS heavy environment and a breadth of knowledge and familiarity with core AWS storage and data pipelining services. (Redshift, EMR, RDS, Glue, Kinesis, Dynamo DB, Firehose)

2+ years working with Ansible and Terraform

Experience working with PySpark running on EMR

PREFERRED SKILLS

Understanding of networking and least privilege security

Experience managing multiple environments and using Infrastructure as Code to escalate changes