Staff Observability Engineer

GE HealthCare

Bengaluru

On-site

INR 1,700,000 - 2,500,000

Full time

14 days+

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Job summary

GE HealthCare in Bengaluru is hiring a Staff Software Engineer (Observability) responsible for defining and implementing observability strategies across PCS Digital Solutions Cloud Applications. The candidate should have over 10 years of experience in software engineering, specifically in cloud-native environments, and deep expertise in observability tools such as OpenTelemetry and Prometheus.

The position involves mentoring engineers to promote a culture of observability, ensuring compliance with healthcare standards. Strong programming skills and excellent communication ability are essential.

Qualifications

10+ years of experience in software engineering, SRE, or platform engineering roles.
4+ years of experience in cloud-native environments (Kubernetes, microservices, serverless).
Experience with AI-powered anomaly detection for observability at scale.

Responsibilities

Define and evolve the observability vision and roadmap for PCS applications.
Collaborate with platform, SRE, and product teams to instrument services.
Lead incident analysis and post-mortem reviews to drive improvements.

Skills

Deep expertise in observability pillars

Strong programming/scripting skills (Go, Python, Bash, Terraform)

Experience with distributed tracing

Excellent communication and collaboration skills

Education

Bachelor’s or master’s degree in computer science, engineering, or related field

Tools

OpenTelemetry

Prometheus

Grafana

Datadog

Dynatrace

Job description

Job Description Summary

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

Roles and Responsibilities

Define and evolve the observability vision and roadmap for PCS DS applications
Design and implement or 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 or contribute to incident analysis and post‑mortem 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 contributing to 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 optimization for observability at scale
Familiarity with SRE practices, chaos engineering
Excellent communication and collaboration skills

Desired Characteristics