Job Description

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

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.
• 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

• 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