Principal Software Engineer

How is this team contributing to vision of Providence

Our team is responsible for providing reliable and resilient network connectivity to our hospitals which makes lives of our caregivers easy, contributing to our vision Health for a better world.

What will you be responsible for

• Design, build, and maintain endtoend AIOps solution.
• Automate CI/CD workflows for AI/ML using industry best practices to ensure reproducibility, reliability, and scalability.
• Collaborate closely with data scientists, ML engineers, platform engineers, to productionize AI capabilities.
• Ensure security, compliance, and governance of AI systems, especially in regulated healthcare environments.
• Enable responsible AI practices including explainability, auditability, and fairness.
• Leverage AIpowered developer tools to improve engineering productivity.
• Drive architecture and technical design decisions for AIOps platforms.
• Mentor engineers and promote strong engineering and DevOps practices.
• Manipulate, collate, and analyze complex, high dimensional data from varying sources to solve difficult problems.
• Collaborate with teammates in various roles to plan and execute on key deliverables.
• Quality and timely deliverables.
• Drive and Own Architecture and Design for various features and platforms.
• Work in a culture of continuous improvement, adaptation, reflection, and growth
• Learn quickly from your peers, projects, and interactions with customers.
• Manage Stakeholder Communications.

What would your day look like

• Integrating ML workflows with data platforms and enterprise systems.
• Designing APIs and microservices to serve models at scale.
• Working with cloud infrastructure (Kubernetes, containers, IaC).
• Reviewing designs, improving platform reliability, and automating operational tasks.
• Collaborate with architects, data engineers and analysts to identify, engage, and develop platforms where necessary and define services that empower business processes.
• Create, consume or integrate different services and APIs with external systems.
• Mentor the team on right engineering practices.
• Enhance engineering processes in the team to bring in efficiency in day-to-day deliverables for the team.

Who are we looking for

• BS in Computer Science or related field or equivalent work experience
• Must have 10+years of professional software engineering experience.
• System Architecture and Data Analytics
• Strong programming skills in Python and at least one backend language (C#, Java, or similar).
• Solid understanding of CI/CD, DevOps, and InfrastructureasCode (Terraform, ARM, Bicep, etc.).
• Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, or GCP).
• Strong knowledge of data engineering fundamentals, APIs, and distributed systems.
• Experience with SQL and data modeling.
• Strong problemsolving, debugging, and communication skills.
• Ability to work effectively in an Agile/Scrum environment.
• Experience with Agile Productivity tools like ADO/Git.
• Experience delivering scalable and resilient Cloud-native services at large enterprise scale.
• Good communications skills able to share complex ideas with other teams.

Preferred Qualifications:

• Experience with building secure, reliable, scalable applications using AI.
• Experience with eventdriven architectures and streaming systems.
• Able to work efficiently, prioritize workflow, and meet deadlines.
• Proven ability to deal with ambiguity and drive for clarity.
• Knowledge of Responsible AI, model explainability, and governance frameworks.