{"id":2149622,"url":"https://alion.io/job/maia-senior-devops-platform-engineer-ai-infrastructure-mfx","title":"Senior DevOps / Platform Engineer, AI Infrastructure (m/f/x)","company":{"id":3891711,"name":"MAIA","domain":"getmaia.ai","url":"https://alion.io/company/getmaia","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Join","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["DE"],"hiring_countries_total":1,"salary":{"min":75000,"max":85000,"currency":"EUR","period":"year","gross":true,"usd_annual":95195},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Docker Compose","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"Hetzner","optional":false},{"name":"IAM","optional":false},{"name":"ISO 27001","optional":false},{"name":"Kong","optional":false},{"name":"Least Privilege","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Loki","optional":false},{"name":"NixOS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Pulumi","optional":false},{"name":"RAG","optional":false},{"name":"Sentry","optional":false},{"name":"Supabase","optional":false},{"name":"Terraform","optional":false},{"name":"Traefik","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-09-15T12:54:21Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-12T14:33:50Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"MAIA is the AI platform built for companies where generic AI tools break down because the data is complex, the stakes are high, and precision matters.\nWe work on the difficult parts of enterprise AI: understanding complex documents, integrating AI into real workflows, making organisational knowledge accessible, and operating the underlying systems reliably and securely.\nAs our customer base, product capabilities, and engineering team grow, we are investing further in the platform beneath MAIA. We are looking for our first dedicated Senior DevOps / Platform Engineer to take technical ownership of our infrastructure and production operations.\nYou will develop an existing platform and shape its next stage across architecture, automation, observability, security, and AI infrastructure. Our environment combines self-administered Linux servers, European infrastructure providers, dedicated hardware, and services from AWS, Azure, and GCP. Over time, we will also expand our European infrastructure and inference options as one part of our platform strategy.\nThis is a hands-on senior individual contributor role without people management. You will initially be the only dedicated Platform Engineer, working closely with our software engineers and company leadership.\nWe are opening this role to remote candidates across Germany. For this setup to work, you need a strong track record of independently operating production systems, communicating proactively, and moving complex infrastructure work forward without constant coordination.\nTasks\nYou take technical ownership of MAIA’s production infrastructure. You operate and evolve self-administered Linux systems across virtual machines and dedicated servers, including containers, networks, reverse proxies, and API gateways.\nYou make deployments safe, repeatable, and easy for engineers to use. You improve our Infrastructure as Code, GitHub Actions workflows, deployment processes, automated checks, versioning, and rollback capabilities.\nYou operate and improve PostgreSQL in production. This includes performance analysis, connection pooling, capacity planning, backups, and regularly tested restore procedures.\nYou develop our self-hosted observability stack. You connect metrics, logs, traces, and actionable alerts so that we understand system behaviour and identify problems before they affect more customers.\nYou strengthen security across our infrastructure. You implement and maintain IAM, least privilege, secrets management, TLS, vulnerability scanning, and patch management.\nYou implement technical controls for ISO 27001. You design them so that evidence is generated continuously and remains understandable and auditable.\nYou help shape our AI infrastructure. You integrate model and inference providers and evaluate them based on reliability, latency, throughput, cost, and operational effort.\nYou explore self-hosted LLM inference where it creates real value. Over time, this may include GPU infrastructure and serving technologies such as vLLM. Previous production experience in this area is helpful but not required.\nYou improve incident response and operational resilience. You investigate root causes, establish useful runbooks, document operational knowledge, and turn incidents into lasting improvements.\nYou improve the internal developer experience. You reduce manual work, create clear interfaces and workflows, and help engineers ship changes with confidence.\nYou make infrastructure and inference costs transparent. You identify relevant cost drivers and help us make informed build, buy, and hosting decisions.\nYou will help determine the initial priorities after assessing the existing platform. We expect you to identify the most relevant risks, explain the available options, and take improvements through to reliable production operation.\nRequirements\nYour technical experience\nYou have several years of experience operating production SaaS systems on Linux servers you or your team administered directly. Experience limited to fully managed hyperscaler services is not sufficient for this role.\nYou have operated Docker and Docker Compose in production and understand reverse proxies or API gateways such as Traefik or Kong.\nYou have practical experience operating PostgreSQL, including backups and restores you have personally configured and tested, performance analysis, and connection pooling.\nYou have built and maintained CI/CD pipelines using GitHub Actions, GitLab CI, or comparable systems.\nYou have managed infrastructure through Terraform, Pulumi, or comparable Infrastructure as Code tooling.\nYou have operated an observability stack using tools such as Grafana, Loki, Prometheus, Sentry, or comparable technologies.\nYou understand the security foundations of production infrastructure, including IAM, least privilege, secrets management, vulnerability scanning, and patching.\nYou can design infrastructure that is reliable for customers and straightforward for engineers to use.\nYou communicate fluently in English. German is helpful but not required.\nYour AI foundation\nYou understand how RAG systems work and where they commonly fail in production. You can discuss the basic trade-offs involved in LLM serving, including latency, throughput, reliability, cost, and operational complexity.\nYou follow developments in models, inference providers, and the wider GenAI market closely enough to evaluate new options critically.\nWe do not expect you to arrive as an expert in GPU operations or self-hosted inference. We expect a strong platform engineering foundation and the technical curiosity to develop deeper expertise in AI infrastructure.\nHow you work\nYou take responsibility from initial investigation through production operation.\nYou investigate unfamiliar systems until you understand the relevant behaviour and failure modes.\nYou make architecture decisions deliberately and document the reasoning behind them.\nYou value maintainability, automation, tested recovery, and clear operational processes.\nYou prioritise according to risk and impact and communicate trade-offs openly.\nYou remain structured during incidents and communicate clearly with technical and non-technical stakeholders.\nYou use AI tools productively while remaining accountable for every architecture decision and production change.\nYou communicate proactively in a distributed team and make your progress, decisions, risks, and blockers visible.\nThe bar for this remote role\nThis position combines broad technical responsibility with a high degree of autonomy. For the remote setup, we are therefore looking for candidates who have already demonstrated that they can:\nindependently operate business-critical production systems;\nidentify and prioritise infrastructure work without waiting for detailed instructions;\nlead technical improvements across team boundaries;\ncommunicate reliably in writing and remotely; and\nremain accountable after a change has been deployed.\nInterest in growing into these responsibilities is valuable, but for this particular opening, we need evidence that you have already carried a substantial part of them in practice.\nHelpful, but not required\nExperience with Hetzner, NixOS, or self-hosted Supabase.\nExperience implementing technical ISO 27001 controls and audit evidence.\nExperience with SRE practices such as SLOs, error budgets, and incident reviews.\nExperience operating GPUs or serving LLMs with technologies such as vLLM.\nBenefits\nA substantial technical area to shape and own in a well-funded, growing AI startup.\nDirect influence on MAIA’s architecture, reliability, security, and engineering productivity.\nThe opportunity to deepen your expertise in AI infrastructure and the operation of LLM workloads.\nClose collaboration with our engineering team, CTO, and company leadership.\nShort decision paths and the authority to move important infrastructure work forward.\n€75,000-€85,000 gross annual salary, depending on experience and scope.\nThe opportunity to participate in our VSOP.\nA permanent, full-time position with flexible working hours.\nFully remote work from anywhere within Germany.\nRegular opportunities to meet and work with the team in Leipzig, with travel and accommodation covered.\nAccess to a WellPass fitness membership.\nThis role is open exclusively to candidates currently based in Germany. Applications from outside Germany cannot be considered for this position.\nOur hiring process consists of three stages:\nA 30-minute introductory conversation.\nA 90-minute technical interview.\nA final conversation with company leadership.\nWe move quickly and keep you informed throughout the process.\nInstead of a traditional cover letter, please send us your CV and brief answers to these three questions:\nWhat is the most critical production system you have personally operated, and what were you directly responsible for?\nTell us about one infrastructure risk, incident, or reliability problem you identified and improved.\nWhy does this remote role and its level of ownership fit the way you work?\nPlease write these answers yourself and do not submit an AI-generated cover letter. We are not assessing polished marketing language. We want to understand your actual experience, judgement, and motivation.\nWe review this remote opening against a deliberately focused profile. If your experience matches the core requirements and you are ready to take independent responsibility for a growing AI platform, we would like to hear from you.","description_format":"text","description_chars":9469,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Security Compliance","Urban Planning"],"lifecycle":[{"event":"open","at":"2026-10-09T05:13:15Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.32,"p_room":0.35,"age_days":26,"expected_fill_days":7,"reasons":["conf:3","win:tail"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":95195,"is_top_pay":false},"html_url":"https://alion.io/job/maia-senior-devops-platform-engineer-ai-infrastructure-mfx","json_url":"https://alion.io/job/maia-senior-devops-platform-engineer-ai-infrastructure-mfx.json","meta":{"generated_at":"2026-10-12T16:29:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":26385,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3891711},"rest":"https://alion.io/mcp/rest/get_company?id=3891711"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmaia-senior-devops-platform-engineer-ai-infrastructure-mfx"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmaia-senior-devops-platform-engineer-ai-infrastructure-mfx"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmaia-senior-devops-platform-engineer-ai-infrastructure-mfx"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/maia-senior-devops-platform-engineer-ai-infrastructure-mfx\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmaia-senior-devops-platform-engineer-ai-infrastructure-mfx"}]}