Staff Software Architect - Observability

Job Description Summary

As a Staff Software Architect (Observability), you will be responsible for defining and implementing the observability strategy across PCS Digital Solutions Cloud and Enterprise platform / Applications.

Job Description

In this role, you will:

• Define and evolve the observability vision and roadmap for PCS DS platform / apps.
• Architect and implement/integrate standardized observability frameworks (metrics, logs, traces, events, profiling).
• Collaborate with platform, SRE, and product teams to instrument services using OpenTelemetry and other modern observability tooling.
• Build and maintain dashboards, alerts, and SLOs that reflect both technical and business health indicators.
• Evaluate, integrate, and optimize observability agents (e.g., Prometheus, Fluent bit, OTEL and other agents).
• Design self-remediation solutions leveraging observability tooling.
• Implement Best Practices for using GenAI tools of Observability platforms.
• Lead / contribute to incident analysis and postmortem reviews, driving improvements in system resilience and observability coverage.
• Conduct Operational Readiness Reviews (ORRs) to validate monitoring, alerting, and rollback strategies before go-live.
• Ensure observability practices align with healthcare compliance standards (e.g., HIPAA, GDPR, HITRUST).
• Mentor engineers and promote a culture of observability-first development.
  
  

Required Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related technical field.
• 10+ years of experience in software engineering, SRE, or platform engineering roles.
• 4+ years of experience architecting observability solutions in cloud-native environments (Kubernetes, microservices, serverless).
• Deep expertise in observability pillars (metrics, logs, traces) and tools like OpenTelemetry, Prometheus, Grafana, Datadog, Dynatrace etc.
• Strong programming/scripting skills (e.g., Go, Python, Bash, Terraform).
• Experience with distributed tracing, SLO/SLI frameworks, and incident response workflows.
• Deep expertise in distributed systems, microservices, and cloud platforms (AWS, Azure, GCP).
• Experience with AI-powered anomaly detection, automated incident response, and cost optimisation for observability at scale.
• Familiarity with SRE practices, chaos engineering
• Excellent communication and collaboration skills.
  
  

Desired Characteristics

• Experience in healthcare or regulated industries.
• Knowledge of data privacy and compliance (HIPAA, HITRUST).
• Experience with cost optimization and telemetry data governance.
• Contributions to open-source observability projects.
  
  

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

Additional Information

Relocation Assistance Provided: Yes

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