Lead ML Ops Engineer

Profile

Description

Humana is seeking a talented and experienced Lead DevOps (ML Ops) Engineer to join our team. As a DevOps Engineer, you will be responsible for building and maintaining scalable and reliable machine learning-driven applications using Kubernetes and other related technologies. If you are passionate about DevOps, Kubernetes, and building machine learning-driven applications, we would love to hear from you.

Join our dynamic team and contribute to the development of cutting-edge technologies that have a real-world impact. You will work closely with our development, operations, and data science teams to ensure efficient and smooth application deployment, continuous integration and delivery, and infrastructure management.

Responsibilities

Responsibilities


Design, deploy, and manage Kubernetes-based infrastructure on Azure Kubernetes Service (AKS) for hosting machine learning-driven applications.
Collaborate with software development teams to build and deploy Python applications on the Kubernetes cluster.
Implement continuous integration and delivery (CI/CD) pipelines using Azure DevOps to enable automated and efficient software releases.
Utilize Helm for managing Kubernetes applications, including packaging, versioning, and deployment.
Develop and maintain infrastructure as code (IaC) using tools such as Terraform or Azure Resource Manager (ARM) templates to ensure scalability, reliability, and security.
Monitor and ensure high availability and performance of the Kubernetes cluster, leveraging tools like Istio for service mesh and observability.
Implement and configure observability and monitoring tools, including ElasticSearch, Logstash, and Kibana (ELK stack), for logging, metrics, and log analysis purposes.
Collaborate with cross-functional teams to identify and resolve performance, scalability, and security issues within the application stack.
Stay updated with the latest industry trends and best practices in DevOps, Kubernetes, machine learning, and related technologies.
Provide documentation and knowledge sharing to enable efficient onboarding and support for other team members.


Required Qualifications


Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
Proven experience as a DevOps Engineer, specifically working with Kubernetes and CI/CD systems - AKS, Azure DevOps, and Helm are preferred.
Strong understanding of building and deploying Python applications in a production environment.
Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch) is highly desirable.
Experience with infrastructure as code tools for managing cloud-based infrastructure - Terraform is preferred.
Proficiency in designing and implementing CI/CD pipelines using Azure DevOps or similar tools.
Experience in implementing and configuring observability and monitoring tools like ElasticSearch, Logstash, and Kibana.
Strong problem-solving skills and the ability to troubleshoot complex distributed systems.
Excellent communication and collaboration skills to work effectively in a team-oriented environment.


Preferred Qualifications


Master's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
Working knowledge of Istio and service mesh concepts for managing microservices.


Additional Information

Location/Work Style: Remote US

Why Humana?

At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:


Work-Life Balance
Generous PTO package
Health benefits effective day 1
Annual Incentive Plan
401K - Excellent company match
Well-being program
Paid Volunteer Time Off
Student Loan Refinancing


If you share our passion for helping people, we likely have the right place for you at Humana.

Work at Home Guidance

To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:


At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended to support Humana applications, per associate.
Wireless, Wired Cable or DSL connection is suggested.
Satellite, cellular and microwave connection can be used only if they provide an optimal connection for associates. The use of these methods must be approved by leadership. (See Wireless, Wired Cable or DSL Connection in Exceptions, Section 7.0 in this policy.)
Humana will not pay for or reimburse Home or Hybrid Home/Office associates for any portion of the cost of their self-provided internet service, with the exception of associates who live or work from Home in the state of California, Illinois, Montana, or South Dakota. Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.


#LI-Remote

This is a remote position

Scheduled Weekly Hours

40

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ****

Company info

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