{"id":2610802,"url":"https://alion.io/job/manychat-staff-site-reliability-engineer-ai-platform","title":"Staff Site Reliability Engineer — AI Platform","company":{"id":1756687,"name":"Manychat","domain":"manychat.com","url":"https://alion.io/company/manychat-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":63000,"max_usd":147000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":823},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"FinOps","optional":false},{"name":"Grafana","optional":false},{"name":"Kong AI Gateway","optional":false},{"name":"Kubernetes","optional":false},{"name":"LiteLLM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Quantization","optional":false},{"name":"Scale AI","optional":false},{"name":"Terraform","optional":false},{"name":"TGI","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"WhatsApp","optional":true}],"status":"live","first_seen_at":"2026-08-12T13:09:21Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-17T15:33:18Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"description":"WHO WE ARE\nCreating content that resonates is great - turning that attention into growth is even better. That's what Manychat does.\nOur AI-powered automations help creators and brands engage with audiences across Instagram, Messenger, WhatsApp, and TikTok - at the right moment, with the right message, minus the manual work.\nWe're 400+ people across three continents behind the leading platform for conversational growth, with AI skills shaping how we build, how we work, and how we grow.\nWHO WE’RE LOOKING FOR\nWant to shape an AI platform's architecture from day one, instead of just maintaining what someone else built?\nManychat runs AI features for businesses worldwide, and we're hiring an SRE to own the reliability, performance, and cost of that AI infrastructure, and to raise the bar for how our whole engineering org builds on LLMs.\nThis isn't a classical SRE role with a bit of AI sprinkled on top. We need someone AI-native: you already understand how modern LLM systems behave in production, things like token throughput, provider rate limits, degraded model quality, and inference latency tails, and you treat all of that as a first-class reliability concern, not an afterthought.\nWhy this role is worth your time:\nThe AI Platform is still young, so you'll shape its architecture, standards, and roadmap from the ground up.\n\nThe stakes are real. AI features sit right in the critical path of customer-facing automation, so your work actually matters to the business, not just to a dashboard.\n\nYou'll partner directly with the Head of Infrastructure, with real autonomy and visibility into how your decisions play out.\n\nSound like the kind of ownership you've been looking for?\nWHAT YOU'LL DO\nOwn reliability and performance of our AI infrastructure: AI Gateway, inference services, and integrations with Amazon Bedrock, Azure OpenAI, and other LLM providers.\n\nDesign and evolve the AI Gateway: routing, failover between providers, rate limiting, caching, and guardrails.\n\nBuild observability for AI systems: latency/throughput/error SLOs per model and provider, token-level metrics, quality and drift signals.\n\nDrive cost optimization and FinOps for AI workloads: per-feature cost visibility, model right-sizing, caching strategies, provider mix.\n\nRun capacity planning and incident response for inference services; write and improve runbooks and postmortems.\n\nScale AI expertise across the org: set standards, review designs, and coach teams shipping LLM-backed features.\n\nTO SHINE IN THIS ROLE\nYou’ll need:\n5+ years in SRE / platform / infrastructure engineering, including production ownership at significant scale.\n\nHands-on experience operating LLM-backed systems in production: provider APIs (Bedrock, OpenAI, Anthropic, or similar), inference pipelines, self-hosted or managed model serving.\n\nDeep cloud-native background: AWS, Kubernetes, Terraform/IaC, CI/CD.\n\nStrong observability practice (Prometheus/Grafana, OpenTelemetry, or equivalent) and experience defining SLOs for non-deterministic systems.\n\nProven cost-optimization work: you can show where you cut cloud or inference spend and how you made cost visible.\n\nStaff-level influence: you've set technical direction beyond your own team and brought others along\n\nIt would be great if you have:\nExperience building or operating an LLM gateway/proxy (e.g., LiteLLM, Kong AI Gateway, custom).\n\nExperience with GPU workload optimization, quantization, or serving frameworks (vLLM, TGI, Triton).\n\nExperience with eval pipelines and quality monitoring for LLM outputs.\n\nWhy this role\nGreen-field ownership: the AI Platform is young; you'll shape its architecture, standards, and roadmap.\n\nReal scale and real stakes: AI features sit in the critical path of customer-facing automation.\n\nDirect partnership with the Head of Infrastructure; high autonomy and visibility.\n\nWHAT WE OFFER\nWe care deeply about your growth, well-being, and comfort:\nHybrid onboarding to start work remotely and relocation support for you and your family.\n\nComprehensive health insurance for both you and your family.\n\nProfessional development budget for conference tickets, online courses, and other relevant resources to help you grow.\n\nFlexible benefits package: no one-size-fits-all perks here. You get a budget and you decide where it goes, from health and wellbeing to family and setting up your home office.\n\nHybrid work and generous, flexible time off - planned with your team, not rationed by a rigid quota.\n\nIn-office perks, including free meals and snacks.\n\nCompany-funded sport activities, annual offsites and team-building events.\n\nAI isn't a perk here - it's how we work. Claude, OpenAI, and more are on by default from day one, and we back teams in adopting whatever makes them faster.\n\nManychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.\nThis commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. 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