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Principal Software Engineer

About Providence

Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.

Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.

Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.


Why Us?

  • Best In-class Benefits
  • Inclusive Leadership
  • Reimagining Healthcare
  • Competitive Pay
  • Supportive Reporting Relation

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 end‑to‑end 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 AI‑powered 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 Infrastructure‑as‑Code (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 problem‑solving, 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 event‑driven 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.

Providence’s vision to create ‘Health for a Better World’ aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization’s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.

Contact our Integrity hotline also, read our Code of Conduct.

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