# Staff Site Reliability Engineer (AI Platform) at Manychat

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Own reliability, performance and cost of

- **Company:** Manychat (https://jobs.trythestack.co/companies/manychat)
- **Location:** Netherlands
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Site Reliability Engineering, LLM systems, AWS, Kubernetes, Terraform, Infrastructure as Code, CI/CD, Prometheus, Grafana, OpenTelemetry, FinOps, Capacity planning, Incident response, AI Gateway, Inference services, Observability
- **Posted by employer:** 2026-07-29
- **Added to The Stack:** 2026-07-30
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://boards.greenhouse.io/manychat/jobs/8655925002?gh_jid=8655925002 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/staff-site-reliability-engineer-ai-platform-manychat

## About the role

Responsibilities:
- Own reliability, performance and cost of the AI platform: AI Gateway, inference services and provider integrations.
- Design and evolve the AI Gateway (routing, provider failover, rate limiting, caching, guardrails).
- Define and implement observability and SLOs for models and providers (latency, throughput, token metrics, quality signals).
- Drive FinOps for AI workloads: per-feature cost visibility, model sizing, caching and provider mix optimization.
- Lead capacity planning, incident response, runbooks and postmortems for inference services.
- Mentor teams, set platform standards and review designs for LLM-backed features.

Requirements:
- 5+ years in SRE/platform/infrastructure engineering with production ownership at scale.
- Hands-on experience operating LLM-backed systems and provider APIs (Bedrock, OpenAI, Anthropic or similar).
- Strong cloud-native skills: AWS, Kubernetes, Terraform/IaC and CI/CD pipelines.
- Proven observability practice (Prometheus/Grafana, OpenTelemetry) and experience defining SLOs for non-deterministic systems.
- Experience with cost optimization, capacity planning and incident management for inference workloads.
- Strong communication and collaboration skills to drive standards across engineering teams.

## Responsibilities

You will own the reliability, performance, and cost-optimization of the AI infrastructure, including the AI Gateway and inference services. Additionally, you will scale AI expertise across the organization by setting standards and coaching teams on LLM-backed feature development.

## Requirements

The role requires 5+ years of experience in SRE or infrastructure engineering with hands-on production experience in LLM-backed systems. Candidates must possess a deep cloud-native background and proven ability to manage cost-optimization and observability for non-deterministic systems.

## FAQ

- **Is this Staff Site Reliability Engineer (AI Platform) role still open?** It was posted on 2026-07-29. Listings more than 30 days old may no longer be active, so check Manychat's site before applying.
- **Does Manychat offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Manychat's site.
- **Where is this role located?** The listing gives the location as Netherlands. It is marked on-site.
- **What skills does this role ask for?** The listing names: Site Reliability Engineering, LLM systems, AWS, Kubernetes, Terraform, Infrastructure as Code, CI/CD, Prometheus, Grafana, OpenTelemetry, FinOps, Capacity planning, Incident response, AI Gateway, Inference services, Observability.

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## Notes for agents

- Apply on the employer's page (https://boards.greenhouse.io/manychat/jobs/8655925002?gh_jid=8655925002). The Stack does not take applications.
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