Job
Description
Required Qualifications: - Education & Experience - bachelors degree in computer science, Information Systems, or a related field (Master’s preferred). - 8+ years of experience in IT operations, DevOps, or Cloud Architecture with a focus on observability and monitoring. Technical Skills: - Deep expertise in Azure services (Azure Monitor, Log Analytics, Application Insights, Key Vault, etc.) and Kubernetes (AKS). - Proficiency in distributed tracing, logging, and metrics (e.g., OpenTelemetry, Prometheus, Grafana, ELK/Splunk). - Familiarity with middlware products such IBM DataPower, ACE, MQ or similar integration products. - Familiarity with React JS, React Native, Node JS or other similar technologies. - Skilled in scripting/automation (PowerShell, Python, etc.). - Demonstrable experience implementing application-level instrumentation (transaction IDs, correlation IDs, structured logging) in microservices. Banking & Compliance Knowledge: - Familiarity with financial regulations (FFIEC, PCI-DSS, SOC 2) and designing solutions that maintain compliance. - Experience with PII handling, encryption, and security best practices. Preferred Qualifications: - Certifications: Microsoft Azure Solutions Architect Expert, Azure DevOps Engineer Expert, or related. - SRE background with experience establishing and running Site Reliability frameworks. - Familiarity with SaaS-based financial solutions and payment processing systems. - Experience with large-scale real-time data processing (Event Hubs, Kafka, etc.) 1.Observability Tools & Platforms: Experience with popular observability tools: Logging: ELK (Elasticsearch, Logstash, Kibana), Loki, Fluentd, Splunk, Azure Log Analytics Metrics: Prometheus, Grafana, Datadog, New Relic, CloudWatch Tracing: OpenTelemetry, Jaeger, Zipkin APM (Application Performance Monitoring): Dynatrace, AppDynamics Ability to architect and implement solutions using these tools at scale. 2.Distributed Systems & Microservices Deep understanding of how to monitor complex, distributed systems (Kubernetes, Service Meshes like Istio/Linkerd). Experience with monitoring cloud-native architectures (AWS, Azure, GCP). 3.Data Pipeline Design Building and optimizing telemetry pipelines (collection, storage, visualization). Handling large-scale data ingestion and processing for logs, metrics, and traces. 4.Automation & Infrastructure as Code (IaC) Proficiency in using Terraform, Ansible, or Helm to deploy and manage observability solutions. Experience with integrating observability into CI/CD pipelines.
