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
✨ The Stack take on this Manychat job
- 🏢 Manychat has 2 jobs here, 2 with visa sponsorship see all
- 🛂 Visa: Highly Skilled Migrant permit. 30 or older: €5,942 a month guide
- 💡 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
- Site Reliability Engineering — in 54 other listings on The Stack
- LLM systems — in 2 other listings on The Stack
- AWS — in 802 other listings on The Stack
- Kubernetes — in 585 other listings on The Stack
- Terraform — in 470 other listings on The Stack
- Infrastructure as Code — in 273 other listings on The Stack
- CI/CD — in 630 other listings on The Stack
- Prometheus — in 109 other listings on The Stack
- Grafana
- OpenTelemetry
- FinOps
- Capacity planning
- Incident response
- AI Gateway
- Inference services
- Observability
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.