Observability Engineer

Simelabs - An Astek Company; Ernakulam; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Infopark is seeking an Observability Engineer to design and implement observability pipelines, dashboards, and tracing across services in our platform. The role emphasizes hands-on work with Grafana Stack, Prometheus/OpenTelemetry, and ELK/Splunk stacks, ensuring high availability and performance.

You will collaborate with Development, DevOps, and SRE teams, instrument applications, and contribute to capacity planning and incident resolution. Advanced English communication is required.

Qualifications

• 4+ years of experience in Observability, DevOps, SRE, or Platform Engineering.

Responsibilities

• Design and implement observability solutions for logs, metrics, and traces.
• Build dashboards, alerts, and advanced visualizations.
• Instrument applications and implement distributed tracing.
• Integrate AI capabilities into observability platforms.
• Analyze performance, availability, and capacity issues, and support incident resolution.
• Collaborate with Development, DevOps, and SRE teams.
• Document best practices and train technical users.

Skills

Observability

DevOps

SRE

Platform Engineering

Tools

Grafana Stack

ELK Stack

Prometheus/OpenTelemetry

Splunk

Job description

Observability Engineer

Experience: 4+ years

Required Skills

• 4+ years of experience in Observability, DevOps, SRE, or Platform Engineering.
• Hands-on experience with at least one observability suite: Grafana Stack (Grafana, Loki, Tempo, Mimir, Alloy), ELK Stack, Prometheus/OpenTelemetry, or Splunk.
• Advanced English communication skills.

Nice to Have

• Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
• Linux, Git, Python, Terraform/OpenTofu, and shell scripting.
• Certifications in OpenTelemetry, Prometheus, Grafana, or Splunk.

Responsibilities

• Design and implement observability solutions for logs, metrics, and traces.
• Build dashboards, alerts, and advanced visualizations.
• Instrument applications and implement distributed tracing.
• Integrate AI capabilities into observability platforms.
• Analyze performance, availability, and capacity issues, and support incident resolution.
• Collaborate with Development, DevOps, and SRE teams.
• Document best practices and train technical users.