Providence

Principal Software Engineer

Providence
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17 days ago
Hyderābād, IndiaStaff+

Responsibilities

  • Own the technical product vision, platform architecture, and technology strategy for a cloud-native observability and intelligence platform.
  • Lead the architecture, design, and development of scalable, resilient, highly available enterprise solutions.
  • Build modern user experiences and backend services, APIs, microservices, telemetry pipelines, and intelligence services.
  • Design and optimize large-scale telemetry ingestion, aggregation, correlation, processing, and analytics pipelines for real-time operational intelligence.
  • Define platform standards, technology selections, engineering practices, and long-term product strategy.
  • Drive capabilities across monitoring, observability, event correlation, AIOps, operational analytics, predictive intelligence, and self-healing automation.
  • Evaluate emerging technologies, market trends, and customer needs to evolve product capabilities and roadmap direction.
  • Partner with engineering, operations, business stakeholders, and customers to translate enterprise challenges into scalable platform solutions.
  • Establish engineering excellence across reliability, performance, automation, security, scalability, and developer experience.
  • Mentor engineers, influence technical direction across teams, and serve as a trusted architecture leader.

Requirements

  • 10+ years of software engineering experience with strong full-stack product development expertise.
  • Proven ownership of technical product direction, platform architecture, and enterprise technology strategy.
  • Expert proficiency in React, TypeScript, JavaScript, HTML/CSS, and modern user-interface architectures.
  • Strong backend engineering experience with .NET, Java, Node.js, or Python.
  • Experience designing enterprise-scale architectures, distributed systems, microservices, event-driven architectures, and cloud-native platforms.
  • Strong experience with Azure, AWS, or GCP; Kubernetes; CI/CD; DevOps; Infrastructure as Code; and platform engineering practices.
  • Experience designing and optimizing high-volume telemetry ingestion, processing, event correlation, and analytics architectures.
  • Deep understanding of metrics, logs, traces, dashboards, alerting, SLO/SLI management, incident management, operational analytics, and platform reliability engineering.
  • Experience with observability platforms such as Datadog, Dynatrace, Grafana, Splunk, New Relic, AppDynamics, Elastic, or OpenTelemetry.
  • Experience designing AI-powered intelligence layers involving machine learning, predictive analytics, agentic AI workflows, LLM-based operational assistants, graph-based correlation, automated incident detection and triage, root-cause analysis, and remediation recommendations.
  • Experience translating customer feedback, operational insights, and industry trends into platform capabilities and product roadmap investments.
  • Strong product mindset focused on customer value, business outcomes, innovation, and engineering excellence.
  • Preferred experience building enterprise observability, AIOps, operational intelligence, reliability engineering, IT operations, monitoring, or platform engineering products.
  • Preferred experience designing systems that process and analyze high-volume telemetry data at scale and combine telemetry, AI/ML, automation, and operational workflows.
  • Exposure to SRE practices, self-healing automation, anomaly detection, capacity prediction, and operational decision intelligence.
Providence

About Providence

10,000+ employees

Providence is a nonprofit Catholic health system that operates hospitals, clinics, and related care services for patients and communities across the western U.S. It runs 51 hospitals and 829 clinics and also offers a health plan in select markets. Headquartered in Renton, Washington, Providence provides acute, ambulatory, virtual, and home-based care along with pharmacy and behavioral health services, supported by centralized technology, cybersecurity, and shared services teams.

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