Attinad Jobs

About the Role:

As a Senior DevOps Engineer, you’ll contribute to a high-performing team in developing a self-service AI/ML Platform on AWS SageMaker for a leading Medical Devices Company. Your work will help data scientists monitor the accuracy of their predictions, explain the factors contributing to those predictions, and evaluate their models for bias. Take advantage of the opportunity to collaborate with your end users directly and witness the positive impact your combined efforts have on their productivity and output.

Attinad places tremendous value on continuously providing our engineers with opportunities to expand their skillsets. Our project teams are made up of engineers, program managers, designers, and product managers. We are highly collaborative, oriented towards building and learning, and keenly aware of the responsibility of helping our customers deploy software products for real end users.

What We’re Looking For:

This is a senior-level opportunity and we are seeking candidates with 3-6+ years of relevant, professional experience. However, experience does not always equal expertise so reach out if you can say ‘yes’ to most of these bullets:

• Proponent of infrastructure-as-code with ample experience building, changing, and destroying infrastructure using Terraform or similar technology (CloudFormation, CDK, Pulumi, etc)
• Empathy for the end user. You’re ready to go the extra mile to learn how data scientists (specifically these data scientists) think about their workflows and you innately know how to connect your learnings to create informed opinions about production-ready software.
• Python: you’re comfortable reading and writing it (and you like using it, too)
• Capable of discussing technical concepts with non-technical stakeholders, whether they be your coworkers or external partners.
• Hold the belief that when it comes to AWS: there is no such thing as a ‘problem,’ it’s just a challenge. You trust that the solution exists and you can find it with a little effort.
• Comfortable working with Docker images for local development and in production deployments

Apply Now