Staff Site Reliability Engineer — AI Platform at Manychat, Inc
May no longer be active — verify on the employer site
At a glance
- Company
- Manychat, Inc
- Location
- Amsterdam, Netherlands
- Work arrangement
- Hybrid
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Manychat, Inc job
- 🏢 This is Manychat, Inc's only job here right now
- 🛂 Visa: Highly Skilled Migrant permit. 30 or older: €5,942 a month guide
- 💡 No salary shown. Ask Manychat, Inc if it is above the minimum.
Updated 2026-11-03, 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 (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.
Key skills
- Site Reliability Engineering — in 53 other listings on The Stack
- LLM systems — in 2 other listings on The Stack
- AWS — in 788 other listings on The Stack
- Kubernetes — in 569 other listings on The Stack
- Terraform — in 463 other listings on The Stack
- Infrastructure as Code — in 269 other listings on The Stack
- CI/CD — in 620 other listings on The Stack
- Prometheus — in 107 other listings on The Stack
- Grafana
- OpenTelemetry
- FinOps
- Capacity planning
- Incident response
- Observability
- AI Gateway
- Inference services
On The Stack (as of 2026-11-03)
- This is Manychat, Inc's only listing on The Stack.
- 64 visa-sponsored jobs in the Netherlands on The Stack, posted in the last 60 days.
- 39 visa-sponsored devops engineer jobs in Europe on The Stack, posted in the last 60 days.
Frequently asked questions about Manychat, Inc
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.