{"id":2305200,"url":"https://alion.io/job/verda-performance-engineer-containersserverless","title":"Performance Engineer, Containers/Serverless","company":{"id":1932675,"name":"Verda","domain":"verda.com","url":"https://alion.io/company/verda-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Helsinki, Finland"],"countries":["FI"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":120000,"period":"year","method":"role_country_seniority_unknown","sample_n":37},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"GGUF","optional":false},{"name":"Linux","optional":false},{"name":"Safetensors","optional":false},{"name":"SGLang","optional":false},{"name":"vLLM","optional":false},{"name":"Kubernetes","optional":true},{"name":"Python","optional":true},{"name":"Rust","optional":true}],"status":"live","first_seen_at":"2026-09-01T07:13:17Z","employer_posted_date":null,"last_verified_at":"2026-09-01T07:13:17Z","board_verified":false,"closed_at":null,"days_open":45,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":45},"description":"Verda is a technology company building the next generation of cloud infrastructure for AI. We operate GPU clusters across Europe, the US, and Asia, and we run some of the most demanding AI/ML workloads in production today — from frontier-model training to latency-sensitive inference at scale. We're a low-hierarchy team that ships pragmatically and gives engineers real ownership of the systems they build.\n\nAbout the RoleRunning ML/AI workloads in containers and serverless environments looks simple on a slide and is anything but in production. Between the object store and the GPU sit a dozen layers — image pulls, network filesystems, page cache, model loaders, runtime initialization — and each one quietly contributes to how long a workload takes to become useful and how fast it runs once it is.\nWe're hiring a Performance Engineer to own that surface for Verda's container and serverless GPU platforms. You'll characterize where time and throughput actually go across the stack, and turn that understanding into concrete platform improvements. Cold-start latency is one of the more visible expressions of the problem — a 70B model that takes ninety seconds to load is a ninety-second outage from the user's perspective — but the same fundamentals shape steady-state inference throughput, training step time, and checkpoint behavior. We want someone who understands how all of those parts interact.\n\nWhat you’ll doProfile and optimize the end-to-end path for containerized ML/AI workloads: image distribution, runtime startup, weight loading, inference hot path.\n\nDesign and tune the storage layer that sits between S3-compatible object stores and GPU nodes — prefetchers, caching tiers, network filesystems and local NVMe layouts.\n\nDrive measurable wins on time-to-first-token, training step time, and cold-start latency across both internal services and customer workloads.\n\nBenchmark and characterize real workloads, not synthetic ones, and turn the findings into platform changes.\n\nWork across compute, networking, and platform teams to remove bottlenecks end to end, not just at one layer.\n\nPublish internal (and occasionally external) write-ups so the rest of the org — and our customers — understand the trade-offs.\n\nKeep up to date with the evolving ML/AI ecosystem.\n\nWhat we’re looking forProduction experience making ML/AI workloads measurably faster.\n\nStrong grasp of Linux storage and container runtime internals.\n\nHands-on experience with at least one distributed or network filesystem and with S3-compatible object storage — including performance-killing cases (small-object overhead, range-request patterns, eventual consistency, multipart tuning).\n\nComfort with model-serving runtimes (vLLM, SGLang etc) and the formats they consume (safetensors, GGUF, sharded checkpoints).\n\nAn end-to-end view: comfortable reasoning about NIC, switch, filesystem, cache, container runtime, and GPU as one system rather than separate silos.\n\nNice to haveExperience of systems level programming (Go, Rust or Python)\n\nExperience of checkpoint/restore of CPU & GPU workloads\n\nExperience with container image acceleration (eStargz, SOCI, Nydus) or building a caching layer (FUSE-based, in-kernel, or sidecar) for ML weights and datasets.\n\nFamiliarity with RDMA, GPUDirect Storage, or NVMe-oF.\n\nPrior work on serverless GPU platforms, model registries, or Kubernetes-based ML infrastructure.\n\nContributions to open-source storage, ML runtime, container, or kernel projects.\n\nBackground in performance engineering on bare metal — not just clouds where someone else owns the hardware.\n\nPracticalitiesLocation: Helsinki, Finland\nHybrid mode: This role requires presence in our Helsinki at least 3 days per week\nEmployment type: Full-time and permanent\n\nWhat we offerCash + equity compensation along with various fringe benefits (e.g., healthcare, lunch, wellbeing, etc.). A team that takes performance seriously, real GPUs to test against, and a problem space where the wins are visible to every customer.","description_format":"text","description_chars":4005,"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":["Equity"],"hiring_locations":[{"name":"Finland","iso":"FI","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Platforms (IaaS & PaaS)","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-10-11T22:24:51Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.539,"p_room":0.55,"age_days":44,"expected_fill_days":33,"reasons":["seen:44","velocity","win:tail"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/verda-performance-engineer-containersserverless","json_url":"https://alion.io/job/verda-performance-engineer-containersserverless.json","meta":{"generated_at":"2026-10-16T18:55:06Z","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":4294,"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":1932675},"rest":"https://alion.io/mcp/rest/get_company?id=1932675"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fverda-performance-engineer-containersserverless"},{"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%2Fverda-performance-engineer-containersserverless"},{"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%2Fverda-performance-engineer-containersserverless"},{"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/verda-performance-engineer-containersserverless\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fverda-performance-engineer-containersserverless"}]}