Description

You will build digital tools and solutions within the Enterprise Data & AI team to transform customer experiences.

Responsibilities

• Develop features quickly within a multi-functional team, balancing delivery speed with code quality.
• Collaborate with product managers and business partners to explore and prove the plausibility of technical concepts.
• Write maintainable and extendable code while working through ambiguous or abstract requirements.
• Participate in 2-week Scrum iterations, including sprint planning, demos, and retrospectives.
• Partner with Machine Learning Engineers and Data Scientists to achieve shared business objectives.

Required Skills

• 5+ years of professional software engineering experience.
• Proficiency in writing robust code using Python and Java.
• Extensive experience with AWS services including EC2, S3, DynamoDB, and EMR.
• Hands-on experience building infrastructure-as-code solutions using Terraform.
• Proven ability to set up and automate continuous integration systems with Jenkins.
• Strong knowledge of containerization using Docker and Kubernetes.
• Experience with monitoring solutions such as Prometheus and Grafana.
• Working knowledge of GitHub and Agile/Scrum methodologies.
• Foundational understanding of machine learning concepts, theory, and application.

Preferred Skills

• Experience with Kubeflow, TensorFlow, PyTorch, Airflow, or Databricks.
• Degree or demonstrable expertise in Computer Science, Engineering, or a numerate field.

Key Skills

Education

Any Graduate