Staff Site Reliability Engineer (AI Platform) at Manychat

May no longer be active — verify on the employer site

At a glance

Company
Manychat
Location
Netherlands
Work arrangement
On-site
Employment type
Full-time
Experience
5–10 years
Working hours
40 hours
Visa sponsorship
Offered, according to the listing
Posted
Added to The Stack

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  • 💡 No salary shown. Ask Manychat if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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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.

Key skills

On The Stack (as of 2026-11-05)

Frequently asked questions about Manychat

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.

All roles at Manychat

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