{"id":43737,"url":"https://alion.io/job/datologyai-software-engineer-cloud-infrastructure","title":"Software Engineer, Cloud Infrastructure","company":{"id":9100,"name":"DatologyAI","domain":"datologyai.com","url":"https://alion.io/company/datologyai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":56,"open_postings":11,"ghost_share":0.727,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Mateo, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-01-29T01:18:18Z","employer_posted_date":"2026-01-29","last_verified_at":"2026-10-16T16:50:07Z","board_verified":true,"closed_at":null,"days_open":260,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":260},"description":"About the Company\nModels are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.\nAt DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent research on synthetic data scaling (BeyondWeb) and pretraining with domain-specific data (The Finetuner’s Fallacy).\nWe raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.\nThis role is based in San Mateo, CA. We are in office 4 days a week.\nAbout the Role\nWe’re looking for an experienced Cloud Infrastructure Engineer to join our core team at DatologyAI. In this role, you will lead the design, build, and operation of highly available, secure, and scalable cloud infrastructure that powers our training, inference, and data curation pipelines. You’ll work closely with engineering, research, and product teams to define how we deploy and manage compute resources across AWS and other cloud providers. This role is a key early hire and offers an opportunity to have a deep technical and cultural impact.\nWhat You'll Work On\nArchitect and maintain our multi-cloud infrastructure (primarily AWS, potentially Azure/GCP), with a focus on reliability, security, and scalability\n\nDefine and implement infrastructure-as-code best practices using Terraform, CloudFormation, Pulumi (and similar technologies)\n\nDesign and manage Kubernetes-based systems for model training, inference, and data processing workloads\n\nOptimize our CI/CD pipelines and streamline deployment of services across environments\n\nBuild monitoring, alerting, and logging systems to ensure high system availability and observability\n\nCollaborate with research and engineering teams to provide infrastructure support for training large-scale ML models\n\nEnsure our infrastructure supports various deployment models (cloud, on-prem, hybrid) for enterprise use cases\n\nDrive cost-efficiency strategies across compute and storage resources\n\nRespond to and resolve infrastructure-related incidents with a sense of ownership and urgency\n\nAbout You\n4+ years of relevant experience\n\nYou’ve led or helped build robust infrastructure systems at a startup or fast-moving engineering organization\n\nDeep experience working with cloud providers (especially AWS), and ideally exposure to multi-cloud or hybrid-cloud setups\n\nStrong with Kubernetes, Terraform, and containerized architectures\n\nConfident with systems-level debugging-networking issues, memory leaks, resource bottlenecks, etc.\n\nComfortable writing clean, maintainable scripts in Bash, Python, or Go\n\nYou care deeply about building secure and scalable systems and take pride in reliable infrastructure\n\nYou’re collaborative, humble, and ready to own high-impact projects end-to-end\n\nNice to Have\nExperience supporting infrastructure for ML workloads (training pipelines, inference clusters, GPU orchestration)\n\nBuilt or scaled infrastructure for teams working with large-scale datasets\n\nExposure to cost monitoring and optimization tools in cloud environments\n\nBackground supporting compliance and security in enterprise deployments\n\nCompensation\nAt DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity. The salary for this position ranges from $180,000 to $300,000.\nStarting pay is based on job-related skills, experience, qualifications, and interview performance.\n\nBenefits:\n100% covered health benefits (medical, vision, and dental).\n\n401(k) plan with a generous 4% company match.\n\nUnlimited PTO policy\n\nPaid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.\n\nAnnual $2,000 wellness stipend.\n\nAnnual $1,000 learning and development stipend.\n\nDaily lunches and snacks are provided in our office!\n\nRelocation assistance for employees moving to the Bay Area.","description_format":"text","description_chars":4976,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave","Relocation assistance","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Machine Learning","AI Training Data & Annotation","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-01-29T01:18:18Z"},{"event":"open","at":"2026-09-26T01:44:48Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5 · green card filings: 1","filings_12m":5,"filings_prev_12m":2,"green_card_filings_12m":1,"median_offered_wage_usd":229167,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.157,"p_room":0.28,"age_days":260,"expected_fill_days":48,"reasons":["conf:2","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/datologyai-software-engineer-cloud-infrastructure","json_url":"https://alion.io/job/datologyai-software-engineer-cloud-infrastructure.json","meta":{"generated_at":"2026-10-16T17:59:27Z","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":2842,"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":9100},"rest":"https://alion.io/mcp/rest/get_company?id=9100"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatologyai-software-engineer-cloud-infrastructure"},{"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%2Fdatologyai-software-engineer-cloud-infrastructure"},{"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%2Fdatologyai-software-engineer-cloud-infrastructure"},{"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/datologyai-software-engineer-cloud-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatologyai-software-engineer-cloud-infrastructure"}]}