{"id":80093,"url":"https://alion.io/job/langdock-senior-distributed-systems-engineer-mfd","title":"Senior Systems Software Engineer (Linux & HPC) - m/f/d","company":{"id":5251,"name":"Langdock","domain":"langdock.com","url":"https://alion.io/company/langdock","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":81,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":54,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":155000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":60},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"eBPF","optional":false},{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Bazel","optional":true},{"name":"GCP","optional":true},{"name":"gRPC","optional":true},{"name":"Kubernetes","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true},{"name":"Terraform","optional":true},{"name":"Terragrunt","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-08-09T16:55:34Z","employer_posted_date":"2026-08-09","last_verified_at":"2026-10-16T18:34:52Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"Where Europe's enterprises adopt AI\nLangdock is the AI platform used by more than 10,000 companies to give employees secure access to leading AI models, build agents, and automate workflows. We have grown past $40M ARR while remaining a small team. We’re building the AI platform for European enterprises while preserving their control over data, model providers, and deployment environments.\nAs a Systems Software Engineer, you build the foundations behind our agent execution, model serving, and shared services. You investigate how systems behave under load and failure, then write the software that makes them faster, safer, and more reliable.\nThis role requires deep Linux knowledge and hands-on experience with high-performance computing, distributed systems, or low-latency networking. You should be comfortable following a problem through application code, runtimes, operating-system behavior, and hardware constraints.\nYou work closely with Platform Engineering: your focus is the underlying execution, isolation, scheduling, and data-handling mechanisms; Platform Engineering owns the surrounding service contracts and long-term lifecycle. You operate what you build and remain accountable for its behavior in production.\n\nWhat you might work on\nThe systems agenda includes:\nSecure agent execution. Build runtime and isolation mechanisms for untrusted code using Linux, containers, and microVMs. Improve startup, persistent filesystems, network restrictions, suspension, and resumption.\n\nInference and HPC. Improve model-serving throughput, latency, accelerator utilization, and cost. Measure bottlenecks across serving software, scheduling, caching, memory, and hardware.\n\nLinux performance and resource scheduling. Investigate CPU, memory, filesystem, and network behavior. Improve resource allocation and workload isolation so one customer’s workload cannot degrade another’s.\n\nDistributed execution. Keep concurrent, long-running work correct through retries, crashes, and recovery. Define explicit guarantees for ordering, idempotency, and tenant isolation.\n\nStorage and data systems. Improve how customer and agent-generated data are stored, versioned, moved, and recovered while preserving consistency and predictable performance.\n\nUsage metering. Build accurate accounting for model tokens and compute time despite concurrent reporting, delayed events, duplicate requests, and capacity reservations.\n\nTech stack\nGo and TypeScript in one Bazel monorepo, with implementation choices driven by the system\n\nLinux, containers, microVMs, filesystems, and networking\n\nProtobuf and gRPC for service contracts\n\nKubernetes across GCP, AWS, Azure, and on-premises deployments\n\nTerraform and Terragrunt for infrastructure orchestration\n\nPostgreSQL and Redis where durable metadata or coordination requires them\n\nOpen-source model serving and accelerator infrastructure\n\nYou do not need prior experience with every item. You do need enough systems depth to enter an unfamiliar part of the stack, understand its behavior, and make consequential changes safely.\nHow we work\nWe operate with high trust and autonomy in squads of 3 to 4 engineers. A squad owns its roadmap, prioritization, technical decisions, and operation in production. Engineers are expected to find the context they need, ask for input when it improves the outcome, and move work forward without waiting for every next step to be assigned.\n\nWe align asynchronously before scheduling a meeting. Product requirement documents (PRDs) define the user problem, intended outcome, and constraints. Design documents make architectural boundaries, tradeoffs, failure modes, migrations, and rollouts explicit. People read and challenge the thinking asynchronously; once the context is shared, a short in-office discussion or whiteboard session usually resolves the remaining questions quickly.\n\nWe optimize for leverage. Engineers choose the AI tools that work for them, supported by clear ticket context, focused branches, automated tests, and AI review before human review. We also invest in observability, migration tooling, automated recovery, and runbooks so recurring product maintenance does not depend on someone remembering a manual step.\n\nThe engineer who ships a change owns it in production. If something breaks, you lead the fix.\n\nWe’re looking for someone who\nHas built systems software. You have personally designed and implemented difficult production systems in areas such as networking, storage, runtimes, databases, distributed computing, or inference.\n\nUnderstands Linux deeply. You can reason about processes, scheduling, virtual memory, I/O, networking, and isolation, and investigate behavior down to the kernel when needed.\n\nMeasures before optimizing. You form hypotheses, use profiling and tracing, and can explain both the bottleneck and the measured effect of your changes.\n\nReasons carefully about failure. You understand concurrency, recovery, resource contention, and the tradeoffs between performance, reliability, and complexity.\n\nFollows technical curiosity. You investigate unfamiliar systems independently and want to understand why they behave as they do.\n\nCommunicates clearly and takes ownership. Y ou explain tradeoffs, make uncertainty visible, ship changes, and operate them in production.\n\nExperience with eBPF, RDMA, confidential computing, accelerator infrastructure, or systems-level open-source projects is particularly relevant. You don’t need every specialty.\n\nYour background might include cloud providers, networking companies, database teams, HPC, or trading infrastructure. We value demonstrated engineering depth, including through self-directed work and substantial open-source contributions. This is an experienced individual-contributor role; no particular degree is required.This is an experienced individual-contributor role. You should be able to independently investigate an unfamiliar problem, design a solution, ship it, and operate it in production. We generally expect this judgment to come from at least three to six six of full-time experience working on production systems.","description_format":"text","description_chars":6103,"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":[]},"benefits":[],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","AI Agents"],"lifecycle":[{"event":"open","at":"2026-08-09T16:55:34Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.7,"p_room":0.44,"age_days":67,"expected_fill_days":54,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/langdock-senior-distributed-systems-engineer-mfd","json_url":"https://alion.io/job/langdock-senior-distributed-systems-engineer-mfd.json","meta":{"generated_at":"2026-10-16T22:31:54Z","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":4143,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":5251},"rest":"https://alion.io/mcp/rest/get_company?id=5251"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flangdock-senior-distributed-systems-engineer-mfd"},{"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%2Flangdock-senior-distributed-systems-engineer-mfd"},{"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%2Flangdock-senior-distributed-systems-engineer-mfd"},{"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/langdock-senior-distributed-systems-engineer-mfd\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flangdock-senior-distributed-systems-engineer-mfd"}]}