Platform Automation & Observability Engineer
Indexed description
Our client is looking for a Platform Automation & Observability Engineer
Experience & Level
- 8–12+ years in platform engineering, DevOps, automation engineering, or observability/data engineering
- Proven track record delivering complex, automation-driven solutions at enterprise scale
- Hands-on experience building and operating dashboard or reporting platforms
Technical Expertise
- Strong experience with cloud workloads in at least one hyperscaler (AWS, Azure, or GCP); multi-cloud preferred
- Proficiency in Python (preferred), Go, or similar scripting/automation languages
- Experience with AI/ML tooling — including building agents and chatbots using tools like Claude Code, LangChain, or similar
- frameworks
- Deep familiarity with:
- Telemetry, observability, and logging pipelines
- CI/CD and Infrastructure as Code
- Data integration patterns and API-driven automation
- Reporting and dashboard platforms (Grafana, Power BI, Tableau, custom-built, etc.)
Operational Tooling
- ServiceNow (incident/request workflows)
- Jira (Agile delivery, KPI tracking)
- Git-based workflows
- Monitoring and alerting platforms
Ways of Working
- Strong data-driven problem-solving mindset
- Self-starting with the ability to work independently with minimal direction
- Comfortable navigating ambiguity and complex systems
- Experience in Agile / continuous improvement environments
- Able to drive alignment across multiple stakeholders
Nice to Have
- Security tooling exposure (Wiz, Prisma, Orca, CrowdStrike, etc.) — familiarity is a plus, not a requirement
- Background in SRE or platform reliability practices
- Experience with asset inventory / ITAM integrations
- Exposure to SAP cloud environments or large enterprise programs
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