Observability Lead

Crest Data Systems; Ahmedabad District; In loco; INR 4.000.000 - 6.500.000; Tempo pieno

Descrizione del lavoro

Crest Data Systems in Ahmedabad seeks an Observability Engineer/Consultant to design, implement, and optimize observability across complex environments. You will own the technical delivery of use cases from instrumentation to dashboards, alerts, and SLO frameworks.

This role sits at the intersection of platform engineering and consulting, requiring both hands-on tool depth and the ability to communicate technical decisions clearly to engineering and operations stakeholders The position involves

Competenze

• 4+ years of hands-on experience implementing or consulting on observability solutions in production environments.
• Demonstrable proficiency with at least one enterprise observability platform including agent deployment and data ingestion configuration.
• Experience with metrics, logs, and traces across distributed systems.
• Familiarity with containerized and cloud-native environments (Kubernetes, Docker) and at least one cloud provider.

Mansioni

• Deploy and configure observability platforms across on-premises, cloud, and hybrid environments.
• Instrument applications and infrastructure to collect metrics, logs, and traces.
• Design dashboards, alerting rules, and SLI/SLO frameworks to surface actionable signals.
• Define and enforce standards for log structuring, trace propagation, and metric naming.
• Integrate observability tooling into CI/CD pipelines and data pipelines.
• Conduct observability assessments for customer environments and deliver implementation roadmaps.
• Produce technical documentation including architecture diagrams and runbooks.

Conoscenze

Dynatrace

Datadog

New Relic

Elastic Stack

Splunk

Strumenti

Kubernetes

Docker

OpenTelemetry

Cribl

Logstash

PromQL

KQL

LogQL

Descrizione del lavoro

No. Of Positions : 1
Location : Ahmedabad
Experience : 6+ Years

Job Description:

We are hiring an Observability Engineer/Consultant to design, implement, and optimize observability solutions across complex customer or internal environments. You will own the technical delivery of observability use cases - from instrumentation and data pipeline configuration to dashboards, alerting, and SLO frameworks. This role sits at the intersection of platform engineering and consulting, requiring both hands-on tool depth and the ability to communicate technical decisions clearly to engineering and operations stakeholders

Key Responsibilities:

• Deploy and configure observability platforms (Dynatrace, Datadog, Elastic, Splunk, New Relic, or equivalent) across on-premises, cloud, and hybrid environments.
• Instrument applications and infrastructure to collect metrics, logs, and distributed traces aligned to business and operational requirements.
• Design and build dashboards, alerting rules, and SLI/SLO frameworks that surface actionable signal rather than noise.
• Define and enforce standards for log structuring, trace propagation, and metric naming conventions across engineering teams.
• Integrate observability tooling into CI/CD pipelines, cloud-native infrastructure (Kubernetes, Docker), and data pipeline components (e.g., OpenTelemetry Collectors, Cribl, Logstash).
• Conduct observability assessments for customer environments, identify coverage gaps, and deliver implementation roadmaps with clear prioritization.
• Produce technical documentation including architecture diagrams, runbooks, onboarding guides, and platform-s pecific configuration standards.

Required Technical Skills:

• 4+ years of hands-on experience implementing or consulting on observability solutions in production environments.
• Demonstrable proficiency with at least one enterprise observability platform: Dynatrace, Datadog, New Relic, Elastic Stack (ELK/EFK), or Splunk - including agent deployment, data ingestion configuration, and use case development.
• Working knowledge of all three observability pillars: Metrics (collection, aggregation, PromQL or equivalent), Logs (structured logging, pipeline configuration, query languages), and Traces (distributed tracing, context propagation, APM instrumentation).
• Experience with OpenTelemetry (SDK instrumentation, Collector configuration, OTLP pipelines) or equivalent vendor-native tracing agents.
• Familiarity with containerized and cloud-native environments: Kubernetes, Docker, and at least one major cloud provider (AWS, Azure, or GCP).
• Ability to read and write scripts or queries in at least one of: Python, Bash, SPL, DQL, KQL, LogQL, PromQL, or equivalent.
• Strong technical communication skills - able to produce clear documentation and explain architectural decisions to both engineering teams and non-technical stakeholders.
• Platform certifications: Dynatrace Associate or Professional, Datadog Fundamentals, Splunk Core Certified Power User or Splunk Admin, Elastic Certified Engineer, or New Relic Observability Practitioner.
• Experience with log and telemetry pipeline tools: Cribl Stream, Fluentd, Vector, or Kafka-based architectures.
• Exposure to SIEM platforms (Splunk ES, Palo Alto Cortex XSIAM, Microsoft Sentinel) and understanding of where observability and security telemetry overlap.
• Familiarity with Infrastructure as Code tools (Terraform, Ansible) for managing observability configurations at scale.
• Experience working in a managed service, MSSP, or customer-facing consulting capacity supporting multi-tenant or multi-environment deployments.