Jobs at Providence

13,052 open positions

Providence is a fast‑growing digital health platform that leverages AI to streamline patient care and improve outcomes. The company is recognized for its cloud‑native telehealth services, blockchain‑secured health records, and predictive analytics that flag early disease signals before symptoms arise.

Hiring teams at Providence look for software engineers (front‑end, back‑end, full‑stack), data scientists, ML engineers, UX designers, product managers, and clinical informatics specialists. Applicants can expect agile sprints, cross‑functional collaboration, and a culture that rewards continuous learning and data‑driven decision making.

Job Transparency’s Providence listings give you full salary ranges, employee sentiment scores, and interview insights. Having that data at hand lets you compare offers, target roles that match your experience, and negotiate confidently with a clear understanding of the market value.

No open positions at Providence right now.

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Frequently Asked Questions

What’s it like to work at Providence?
Providence fosters a mission‑driven culture where teams collaborate across clinical and engineering disciplines. Employees enjoy flexible remote or hybrid schedules, quarterly hackathons, and a structured mentorship program that accelerates career growth. The company also offers generous professional development budgets and regular health‑tech workshops to keep staff on the cutting edge.
What types of positions are available at Providence?
Providence actively hires for software engineering (front‑end, back‑end, full‑stack), data science, machine learning engineering, UX/UI design, product management, clinical informatics, cybersecurity, quality assurance, and DevOps. The roles span product development, platform infrastructure, and analytical research, all focused on improving patient outcomes through technology.
How can I stand out as an applicant for Providence?
Tailor your resume to highlight AI, health‑tech, or cloud‑native projects with measurable impact. Showcase contributions to open‑source health datasets or predictive models, and quantify results (e.g., reduced false‑positive alerts by 15%). Demonstrate proficiency in AWS, GCP, or Azure and include certifications (AWS Certified ML or GCP Professional Data Engineer). Prepare for coding challenges by practicing on LeetCode and DeepDive, and ask insightful questions about Providence’s product roadmap during interviews.

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