Observability Engineer / SRE – Observability -Bank

• Ensure comprehensive, end-to-end visibility into the health, performance, and reliability of applications, microservices, and infrastructure across on-premise and cloud environments.
• Implement and manage modern observability tools to support real-time insights, distributed tracing, and predictive analytics for early issue detection and resolution.
• Drive incident prevention, reduce Mean Time to Resolution (MTTR), and enhance system resilience through data-driven monitoring, automated alerts, and root cause analysis.
• Collaborate with DevOps, Development, and Infrastructure teams to foster a performance-centric culture in high-transaction environments.

Role-Specific Responsibilities

• Design, implement, and maintain observability solutions across applications, microservices, and infrastructure using tools such as Prometheus, Grafana, Dynatrace, and OpenTelemetry.
• Leverage telemetry data (logs, metrics, traces) to identify and troubleshoot issues across compute, network, storage, and application layers.
• Enable distributed tracing and service mapping to diagnose performance bottlenecks and inter-service dependencies in microservices architectures.
• Support performance engineering by optimizing code-level performance, transaction processing, and infrastructure scalability during peak loads or major releases.
• Define and implement automated remediation triggers and escalation paths to minimize manual intervention and improve incident response times.

General Functional Responsibilities

• Ensure compliance with enterprise standards and regulatory frameworks (e.g., GDPR, PSD2) for monitoring and data collection.
• Collaborate with infrastructure, application, and security teams to enhance data ingestion, correlation, and observability maturity (progressing from reactive to predictive monitoring).
• Participate in post-incident reviews and performance retrospectives to identify trends, reduce MTTR, and improve overall reliability.
• Provide out-of-hours support (L1/L2) for critical incidents as part of a rotating on-call schedule.

Required Skills & Qualifications

• Strong expertise in observability platforms: Prometheus, Grafana, Dynatrace, OpenTelemetry, ELK/EFK Stack.
• Proficiency in cloud platforms: AWS, Azure, or GCP, including cloud-native monitoring services.
• Hands-on experience with Kubernetes, Docker, and containerized microservices environments.
• Solid understanding of CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
• Strong knowledge of infrastructure monitoring (compute, storage, network) and application performance monitoring (APM).
• Familiarity with scripting and automation: Python, Bash, PowerShell, or Go.
• Experience with incident management tools (PagerDuty, Opsgenie, ServiceNow) and alerting frameworks.
• Good understanding of ITIL processes, incident response, and root cause analysis.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

✅ Key Tools & Technologies (Highlighted):

• Prometheus | Grafana | Dynatrace | OpenTelemetry
• AWS | Azure | GCP
• Kubernetes | Docker
• CI/CD (Jenkins, GitLab, GitHub Actions, Azure DevOps)
• Scripting (Python, Bash, Go, PowerShell)
• APM, Telemetry (Logs, Metrics, Traces), Distributed Tracing

Job Type: Contract