Absolutely. Here is the client-neutral short JD with the client name removed, followed by sourcing hashtags.
Staff Engineer SRE / Data Platform
About the Role
We are seeking a Staff Engineer to build and improve reliable, scalable, and observable cloud-native data platforms supporting high-volume telemetry and connected systems. This is a hands-on technical leadership role working across SRE, DevOps, cloud infrastructure, data engineering, CI/CD, observability, and AI-enabled operations.
Key Responsibilities
- Design scalable, fault-tolerant, and observable cloud infrastructure.
- Lead production readiness, reliability, incident response, and post-incident improvements.
- Design and optimize CI/CD, GitOps, progressive delivery, and rollback strategies.
- Define SLOs, SLIs, monitoring, alerting, dashboards, and OpenTelemetry standards.
- Automate incident triage, diagnostics, remediation, and operational workflows.
- Develop and evaluate AI/LLM workflows, agentic solutions, and automation.
- Mentor engineers and influence technical standards across multiple teams.
- Participate in on-call rotations and lead critical production incidents.
Required Skills
- 8+ years of SRE, DevOps, or Systems Engineering experience.
- Strong experience with Azure, AWS, or GCP.
- Proficiency in Python, Go, Java, or comparable languages.
- Experience with Kubernetes, CI/CD, GitOps, Terraform, and cloud-native systems.
- Strong knowledge of Observability, SLO/SLI, Incident Management, and Reliability Engineering.
- Experience with AI-assisted development, LLM applications, or agentic workflows.
- Strong technical leadership, communication, and cross-functional collaboration skills.
- BS/MS/PhD in Computer Science, Engineering, Mathematics, Physics, or related field.
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