{"id":842564,"url":"https://alion.io/job/hiverge-platform-engineer","title":"Platform Engineer","company":{"id":680018,"name":"Hiverge","domain":"hiverge.ai","url":"https://alion.io/company/hiverge","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-03T05:54:40Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":140000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":61},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Helm","optional":false},{"name":"ISO 27001","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SOC 2","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-05-29T11:16:47Z","employer_posted_date":"2026-05-29","last_verified_at":"2026-11-03T07:27:25Z","board_verified":true,"closed_at":null,"days_open":158,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":157},"description":"Who we are\nAt Hiverge, our mission is to build algorithmic superintelligence: an AI discovery engine that automatically writes algorithms for the most critical optimisation problems.\nOur founding team is composed of world-class researchers from Google DeepMind and University of Cambridge, having co-developed AlphaTensor, FunSearch, and Nobel-prize winning AlphaFold. At Hiverge, you will be working with the brightest minds in AI, algorithms, and mathematics.\nIf you’re passionate about AI and eager to shape transformative technologies, we’d love to hear from you.\nAbout this role\nWe are seeking a skilled Platform Engineer to join our team. You will play a key role in designing, deploying, and maintaining our cloud infrastructure. Your work will directly impact the performance, reliability, security and cost-efficiency of our AI workloads.\nYou will:\nDesign, implement, and maintain cloud-based infrastructure on major cloud providers (AWS, GCP, Azure, etc).\n\nDesign and implement security best practices and infrastructure hardening for all cloud deployments.\n\nDeploy and operate AI agents at scale, ensuring high availability and robust performance.\n\nImplement monitoring, logging, and observability solutions to enhance system visibility.\n\nCollaborate closely with product and engineering teams to align infrastructure with business needs.\n\nTake ownership of meeting defined SLOs, including participating in on-call rotations.\n\nQualifications\n5+ years of experience working with cloud infrastructure in a major cloud provider (AWS, GCP, Azure).\n\nExperience with infrastructure-as-code (IaC) in a production environment (Terraform, Helm etc).\n\nDeep understanding of cloud security best practices.\n\nExperience with Kubernetes.\n\nBachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.\n\nWhat sets you apart\nFamiliarity with security frameworks and compliance standards such as SOC 2 or ISO 27001.\n\nExperience with large-scale AI / ML workloads (particularly using GPUs).\n\nFamiliarity with AI agents or LLM-based systems, especially LLM inference systems.\n\nExperience with Golang and Python.\n\nOpen-source contributions or active community involvement is highly valued.\n\nWe offer competitive compensation, generous benefits packages, and offer a stimulating work environment, with the opportunity to contribute to the future of generative 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