**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. **Job Description** **Roles and Responsibilities** In this role, you will: + Define and evolve the **observability vision and roadmap** for PCS DS applications + Design 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 in contributing in **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. + Robust 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** + 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. **Additional Information** **Relocation Assistance Provided:** No

📌 Staff Observability Engineer (Bengaluru)
🏢 GE Healthcare
📍 Bengaluru