Platform Reliability Engineer - Kubernetes & Langfuse

Appnovation; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Appnovation seeks a Site Reliability Engineer to build and operate a shared observability platform for LLM-based applications for a global life sciences client. The stack includes Kubernetes on AWS (EKS), ClickHouse, PostgreSQL, Redis, Helm and Argo CD, with Langfuse/LangSmith observability tools.

You will design monitoring, alerting and service levels from scratch, implement infrastructure as code, and create runbooks and SOPs to guide on-call teams and onboarding.

Qualifications

• Hands-on Kubernetes on AWS (EKS) with Helm and Argo CD.
• Experience running ClickHouse in production, including backups.
• Proficient in PostgreSQL and Redis for metadata and queues.
• Experience building monitoring, alerting and SLAs from scratch.
• Strong operational writing: runbooks and SOPs.

Responsibilities

• Platform Operations: diagnose and resolve failures across ClickHouse, PostgreSQL, Redis and Kubernetes.
• ClickHouse Operations: manage replication, Keeper quorum, shard/topology and S3 tiering.
• Backup and Restore: rehearse, document and test restores.
• Safe Upgrades: plan rehearsals with rollback for partial migrations.
• Monitoring and SLAs: build monitoring and alerting from scratch.
• Infrastructure as Code: maintain Kubernetes manifests, Helm values and Argo CD.
• Runbooks/SOPs: write and maintain on-call runbooks.
• Onboarding and Support: manage internal team onboarding and support path.
• Automation: convert recurring tasks into automation.
• Upgrade Partnership: drive migration and rollback alongside platform engineers.

Skills

SRE fundamentals

Automation mindset

Runbooks writing

Incident response

Tools

Kubernetes (AWS EKS)

Helm

Argo CD

ClickHouse

PostgreSQL

Redis

OpenTelemetry

Grafana

Langfuse

LangSmith

Arize Phoenix

GitHub Actions

Job description

Appnovation seeks a Site Reliability Engineer to build and operate a shared observability platform for LLM-based applications for a global life sciences client. The stack includes Kubernetes on AWS (EKS), ClickHouse, PostgreSQL, Redis, Helm and Argo CD, with Langfuse/LangSmith observability tools.

You will design monitoring, alerting and service levels from scratch, implement infrastructure as code, and create runbooks and SOPs to guide on-call teams and onboarding.