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Customer currently uses ELK stack, and the goal is to standardize and modernize logs, metrics, and traces using OpenTelemetry, while improving visibility, reliability, and operational intelligence.
Observability Architecture & Modernization
· Assess the existing ELK-based observability setup and define a modern observability architecture
· Design and implement standardized logging, metrics, and distributed tracing using OpenTelemetry
· Define observability best practices for cloud-native and Azure-based applications
· Ensure consistent telemetry collection across microservices, APIs, and infrastructure
Logging, Metrics & Tracing
· Instrument applications using OpenTelemetry SDKs (SpringBoot, .NET, Python, Javascript – as applicable)
· Support Kubernetes and container-based workloads (if applicable)
· Configure and optimize log pipelines, trace exporters, and metric collectors
· Integrate OpenTelemetry with ELK / OpenSearch / Azure Monitor / other backends
· Define SLIs, SLOs, and alerting strategies
· Knowldege in integrating the GitHub and Jira metrics as DORA metrics to observability.
Operational Excellence
· Improve observability performance, cost efficiency, and data retention strategies
· Create dashboards, runbooks, and documentation
AI-based Anomaly Detection & Triage (Good to Have )
· Design or integrate AI/ML-based anomaly detection for logs, metrics, and traces
· Worked on AIOps capabilities for automated incident triage and insights
Required Technical Skills
Core Observability
· Strong hands-on experience with ELK Stack (Elasticsearch, Logstash, Kibana)
· Deep understanding of logs, metrics, traces, and distributed systems
· Practical experience with OpenTelemetry (Collectors, SDKs, exporters, receivers)
Cloud & Platforms
· Strong experience with Microsoft Azure to integrate with Observability platform.
· Experience with Kubernetes / AKS to integrate with Observability platform.
· Knowledge of Azure monitoring tools (Azure Monitor, Log Analytics, Application Insights)
· Experience with Kubernetes / AKS is a strong plus.
Soft Skills
· Strong architecture and problem-solving skills
· Clear communication and documentation skills
· Hands-on mindset with an architect-level view
Good to Have / Preferred Skills
· Experience with AIOps / anomaly detection platforms
· Exposure to tools like Prometheus, Grafana, Jaeger, OpenSearch, Datadog, Dynatrace, New Relic (any)
· Experience with incident management, SRE practices, and reliability engineering
DESIRED SKILLS AND EXPERIENCE
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure
Experience must include a combination of:
o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux
o Networking knowledge – Firewalls, VPNs, Load Balancers
o Web/Application servers, Nginx, JVM environments
o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.
o Familiarity with logging systems - Logstash, Elasticsearch, Kibana
o Git, Jenkins, Jira

