# Staff Site Reliability Engineer — AI Platform at Manychat, Inc

> 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 o

- **Company:** Manychat, Inc (https://jobs.trythestack.co/companies/manychat-inc)
- **Location:** Amsterdam, Netherlands
- **Work arrangement:** Hybrid
- **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, Observability, AI Gateway, Inference services
- **Posted by employer:** 2026-08-06
- **Added to The Stack:** 2026-08-17
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ashbyhq.com/manychat/ea0ce645-23be-479a-83e4-35ba7fd0f544 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/staff-site-reliability-engineer-ai-platform-manychat-inc

## About the role

Responsibilities:
- Own reliability, performance, and cost of the AI platform: AI Gateway, inference services, and provider integrations (Bedrock, Azure OpenAI, Anthropic, etc.).
- Design and evolve the AI Gateway: routing, failover, rate limiting, caching, and guardrails for multi-provider setups.
- Build observability and SLOs for LLM systems: latency/throughput/error metrics, token-level telemetry, quality and drift signals.
- Lead FinOps for AI workloads: per-feature cost visibility, model sizing, caching strategies, and provider mix optimization.
- Run capacity planning, incident response, runbooks, and postmortems for inference infrastructure.
- Evangelize standards, review designs, and coach teams to raise reliability across the org.

Requirements:
- 5+ years in SRE, platform, or 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.
- Deep observability practice (Prometheus/Grafana, OpenTelemetry) and experience defining SLOs for non-deterministic systems.
- Demonstrated experience with cost optimization for ML/AI workloads and capacity planning for inference.
- Proven ability to lead technical direction, write runbooks, and drive cross-team reliability improvements (on-site in Amsterdam).

## Responsibilities

You will own the reliability, performance, and cost optimization of the AI infrastructure, including inference services and LLM integrations. Additionally, you will design the AI Gateway, establish observability standards, and scale AI expertise across the engineering organization.

## 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 deep cloud-native skills, strong observability practices, and the ability to drive technical direction at a staff level.

## FAQ

- **Is this Staff Site Reliability Engineer — AI Platform role still open?** It was posted on 2026-08-06. Listings more than 30 days old may no longer be active, so check Manychat, Inc's site before applying.
- **Does Manychat, Inc offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Manychat, Inc's site.
- **Where is this role located?** The listing gives the location as Amsterdam, Netherlands. It is marked hybrid.
- **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, Observability, AI Gateway, Inference services.

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## Notes for agents

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