Observability and DevOps Architect

Position Highlights

An Observability and DevOps Architect is a senior technology leader responsible for designing enterprise-wide monitoring and automation strategies that improve system reliability performance visibility and operational efficiency. They architect scalable observability solutions (metrics logs traces) across cloud and hybrid environments implement SRE practices (SLIs/SLOs) and drive automation and self-healing capabilities to reduce manual effort and role combines deep expertise in cloud-native architectures Kubernetes and modern observability tools with strong automation skills (IaC scripting CI/CD integration).

Main responsibilities:

Define and implement enterprise observability architecture (metrics logs traces events).
Design end-to-end monitoring for cloud-native microservices and distributed systems.
Standardize logging tracing alerting and dashboarding practices across platforms.
Implement APM infrastructure monitoring synthetic monitoring and user experience monitoring.
Establish SLI/SLO frameworks and integrate reliability metrics into engineering workflows.

Architect and implement automation solutions for incident response remediation and operational tasks.
Develop auto-remediation workflows and self-healing infrastructure.
Drive Infrastructure as Code (IaC) and policy-as-code adoption.
Integrate automation pipelines within CI/CD and DevOps toolchains.
Enable event-driven automation across hybrid/cloud environments.

Observability: Dynatrace Datadog New Relic Prometheus Grafana ELK Splunk OpenTelemetry
Automation: Ansible Terraform Puppet Chef Jenkins GitHub Actions
Cloud: AWS Azure GCP
Containers: Kubernetes OpenShift Docker
Drive OpenTelemetry adoption and telemetry standardization.
Ensure integration across ITSM ITOM and incident management tools (e.g. ServiceNow).

Main requirements:

7 years of experience in IT infrastructure DevOps SRE or platform engineering.
5 years of hands-on experience with enterprise observability platforms.
Kubernetes and container observability
Cloud-native architecture
Infrastructure as Code (Terraform/CloudFormation)
Scripting (Python Bash PowerShell or similar)
Deep understanding of SRE principles (SLI/SLO/Error Budgets).
Advanced knowledge of AWS Azure and/or GCP.
Kubernetes observability
Containerized & microservices architecture
Experience with hybrid and multi-cloud monitoring architectures.