DevOps Engineer, Cloud and Toolchain

Responsibilities

•    Create automated processes for implementation, security, monitoring, alerting and operations using Terraform, Ansible, YAML, Python and environment-specific scripting languages
•    Develop and maintain a platform of integrated systems and tools to support Agile and DevOps practices across a diverse set of workflows used by multiple development teams across the company
•    Help run our toolchain infrastructure using Ansible, Terraform and Kubernetes
•    Design and build re-usable templates to accomplish specific workflow use cases
•    Perform incremental testing actions on code, processes, and deployments to identify ways to streamline execution and minimize errors
•    Continually document all actions and work to define repeatable actions that can be automated
•    Design, implement, and support system monitoring infrastructure
•    Continually improve our monitoring, metrics and automated response capabilities
•    Collaborate with team members to tackle complex technological infrastructure, security, and development problems
•    Provide direct and responsive support for availability incidents and other urgent analytic, development or operational needs
•    Debug production issues across services, at all component levels and respond to after-hours escalations
•    Use our toolchain service offering for your day-to-day activities and work with the toolchain team to continually improve it

Education, Experience, and Certifications

•    Undergraduate degree in Computer Science or equivalent area of technical study
•    3-5 years of hands-on production programming experience with agile software development in a variety of languages, such as Python, .NET/C#, Go, Java, JavaScript/Node.JS
•    AWS Solution Architect certification within the last 12 months, with a strong preference for professional grade certification
•    Additional DevOps Certifications by a major cloud infrastructure provider and/or CNCF related technology provider within the last 24 months, AWS Must

Technical Qualifications:

•    Minimum 5 years of infrastructure automation experience, at least 3 years of that managing production environments for multiple foundational services available in AWS, Azure and/or GCP, deep understanding of the AWS Well Architected Framework.
•    Design, develop, and maintain robust backend systems using MLFlow, Kubernetes, Databricks and Docker.
•    Hands-on experience integrating AI/ML solutions into cloud-native environments (e.g., AWS SageMaker), with a focus on scalability, monitoring, and reliability.
•    Ability to evaluate and implement AI-driven solutions to optimize infrastructure provisioning, incident response, and system performance.
•    Operationalize and Deploy machine learning models to solve complex problems and enhance platform functionality leveraging MLFlow frameworks.
•    Solid understanding of machine learning concepts, algorithms, and frameworks such as TensorFlow, PyTorch, or scikit-learn
•    A minimum of 3 years hands-on staging and production experience in each of the following areas 
   •    Infrastructure and configuration management including Terraform and Ansible
   •    Administering and deploying development CI/CD tools such as GitLab, Jenkins, or Azure DevOps.
   •    Containers and container orchestration services, especially Docker & Kubernetes
   •    Systems administration scripting methods such as Python, Bash or PowerShell. 
   •    Supporting Windows and Linux operating system environments
   •    Network architecture, including load-balancing, DNS, BGP, IPSec VPNs

Other Qualifications:

•    Demonstrated systems perspective when analyzing problems, thinking about overall operation, failure modes and how to address these problems proactively
•    A strong sense for the importance of documentation, and the importance of not having to learn things twice 
•    Ability to work in an agile product team environment and balance a diverse set of stakeholder requests
•    Excellent oral and written communication skills with an ability to break down complex technical systems to help business partners understand the value
•    Strong technical collaboration and communication skills as well as the ability to drive cultural change and adoption of best practices through community participation
•    Ability to collaborate with other teams across the company, defining technology roadmaps, sharing experiences and lessons learned for continual improvement
•    Excellent problem-solving and troubleshooting skills
•    Process-oriented with great documentation skills