Position Purpose:

The Sr. Software Engineer is responsible for independently developing and consistently redesigning/refactoring a product to adapt to our customers and associates needs. As a Sr. Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Sr. Software Engineers may be involved in product and tool selection, configuration, security, resilience, performance tuning and production monitoring as well as mentoring less experienced engineers.

Design and Implement ML Pipelines: Build and maintain automated CI/CD pipelines for machine learning models, covering data preprocessing, model training, evaluation, and deployment.Productionize Models: Work closely with data scientists to take models from experimentation to a production-ready state, often involving packaging models into microservices or APIs.Manage Infrastructure: Provision and manage scalable and secure cloud infrastructure using tools like Docker and Kubernetes to support machine learning workloads.Optimize Resources: Focus on optimizing the machine learning pipeline for efficiency, scalability, and cost-effectiveness.Collaborate Cross-Functionally: Work with data scientists, ML engineers, software developers, and IT operations to streamline workflows and improve overall efficiency.Troubleshoot and Support: Provide technical support and resolve production issues related to model performance, deployment, and infrastructure. 

Key Responsibilities:

50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions

Direct Manager/Direct Reports:

This position typically reports to Software Engineer Manager or Sr. ManagerThis position has 0 Direct Reports

Travel Requirements:

No travel required.

Physical Requirements:

Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

Must be eighteen years of age or older.Must be legally permitted to work in the United States.

Preferred Qualifications:

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.2-4 years of relevant work experience in an MLOps, DevOpsStrong programming skills in Python.Experience with Infrastructure management tools, terraform, Jenkins, Python, Shell, Bash, Helm, Elastic Search, Github actions, Relational or noSQL database technology, cloud computing techniques, CI/CD tools, modern software design patterns. , and their respective AI/ML services (e.g., AWS SageMaker, Google AI Platform).Experience with security frameworks for user and services authorization and authenticationExperience with creating and executing unit, functional, destructive and performance testsExperience with modern debugging and root cause analysis techniquesExperience with version control systemExperience with Kubernetes and cloud products. Experience in networking traffic management. Deep knowledge of containerization and orchestration tools, including Docker and Kubernetes.Proven experience with CI/CD tools like Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation is highly desirable.Experience with ML experiment tracking and versioning tools like MLflow or DVC (Data Version Control) is a plus.Solid understanding of software engineering best practices, including code testing, security, and documentation.Excellent communication skills with the ability to effectively collaborate with both technical and non-technical teams. 

Minimum Education:

The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

No additional education

Minimum Years of Work Experience:

3

Preferred Years of Work Experience:

No additional years of experience

Minimum Leadership Experience:

None

Preferred Leadership Experience:

None

Certifications:

None

Competencies:

Global PerspectiveManages AmbiguityNimble LearningSelf-DevelopmentCollaboratesCultivates InnovationSituational AdaptabilityCommunicates EffectivelyDrives ResultsInterpersonal Savvy