SRE/ELK Stack Engineer - Azure

CRUX; Chennai District; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

CRUX is seeking a skilled observability engineer located in Tamil Nadu, Chennai District, to modernize logs, metrics, and traces using OpenTelemetry. The ideal candidate should have 5-8 years of experience and profound knowledge of the ELK stack, Microsoft Azure, and Kubernetes for integration purposes.

Your role will include assessing the current observability setup, improving performance strategies, and defining best practices for cloud-native applications. An understanding of AI/ML-based anomaly detection is a plus.

Qualifications

• 5-8 years of experience in relevant technologies.
• Strong hands-on experience with ELK stack.
• Practical experience with OpenTelemetry and Azure monitoring tools.

Responsibilities

• Design and implement modern observability architecture.
• Configure and optimize log pipelines and tracing.
• Improve observability performance and documentation.

Skills

ELK Stack (Elasticsearch, Logstash, Kibana)

OpenTelemetry

Microsoft Azure

Kubernetes / AKS

AI/ML-based anomaly detection

Prometheus

Grafana

Job description

Job Description

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

• 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
• Knowledge 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

• 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)
• 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

Experience Level

5-8 Years