{"id":3988045,"url":"https://alion.io/job/radiant-principal-software-engineer","title":"Principal Software Engineer","company":{"id":8822,"name":"Radiant","domain":"radiant.com","url":"https://alion.io/company/radiant","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gloucester, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ClickHouse","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"NCCL","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SLURM","optional":false},{"name":"Time Series","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-11-09T19:39:57Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T22:19:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"What You'll Do\nAs a Principal Software Engineer, you will help set the technical direction for a core part of Radiant's AI cloud, joining one of four teams: Infra & Cluster, Observability, MLOps Training, or MLOps Inference. We'll match you to the team that fits your experience.\nYou'll lead the design and delivery of the distributed systems that run GPU infrastructure and AI workloads at scale, partnering closely with product, infrastructure, SRE, networking, and storage teams, and with customers running the most demanding workloads.\nThis is a hands-on technical leadership role, delivered through architecture, code, and the standards other teams build on.\nThe teams\nInfra & Cluster: provisioning, lifecycle, and cluster management behind our Bare Metal and Virtual Machine products\n\nObservability: FlightDeck, our platform for observing and operating AI infrastructure, and the telemetry behind it\n\nMLOps Training: the platform customers use to train models on our GPU clusters, including Managed Kubernetes and Managed Slurm\n\nMLOps Inference: the platform customers use to serve models in production\n\nKey Responsibilities\nSet the technical vision and architecture for your team's area, and lead its design and implementation.\n\nDesign and build distributed systems that run reliably on GPU infrastructure at scale.\n\nTranslate product and customer requirements into robust architectures, APIs, and technical designs, working closely with Product.\n\nOwn the performance, reliability, and cost of your team's systems as the platform grows.\n\nPartner with SRE, Infra Ops, and customers on operations, incident response, and the most demanding workloads.\n\nRaise the engineering bar across the organisation through mentoring, design and code review, and technical standards.\n\nYour Profile\nExtensive experience building and operating large-scale distributed systems, infrastructure software, or ML platforms.\n\nA track record of technical leadership at staff or principal level, including setting direction across multiple teams and delivering complex, high-stakes systems.\n\nStrong hands-on engineering skills in Go, Python, or similar.\n\nDeep technical expertise in at least one of:\n\nInfra & Cluster: provisioning (PXE, Redfish, IPMI, BMCs, firmware), cluster management, inventory, and lifecycle automation\n\nObservability: metrics, logs, traces, OpenTelemetry, streaming pipelines, and high-cardinality time-series data\n\nMLOps Training: Kubernetes and Slurm orchestration, PyTorch distributed, NCCL, checkpointing, and fault tolerance\n\nMLOps Inference: model serving, batching, autoscaling, GPU utilisation, quantisation, and latency tuning\n\nStrong foundations in Kubernetes, containers, Linux, high-performance networking, and GPU clusters.\n\nHands-on experience with technologies such as Redfish, Prometheus, OpenTelemetry, ClickHouse, Kafka, Slurm, vLLM, NVIDIA Triton, or similar.\n\nExcellent written and verbal communication, including clear design documents and explaining complex trade-offs to technical and non-technical audiences.\n\nComfortable working directly with customers on highly technical problems.\n\nWhat You Bring\nDomain expertise: Bring deep expertise in your team's area, and know where it breaks at scale.\n\nEngineering excellence: Write and review code that sets the standard for correctness, performance, and maintainability.\n\nArchitectural judgement: Make sound long-term decisions on systems that are hard to change once built.\n\nTechnical leadership: Influence direction across teams without relying on authority, and grow the engineers around you.\n\nSystems thinking: Understand how your area interacts with compute, networking, storage, and the rest of the cloud platform.\n\nOwnership: Drive capabilities from design through production, operation, and continuous improvement.\n\nQualities we look for:\nSet the standard: Every single day, you spot opportunities to constructively shake things up\n\nInspire the change: There's no blueprint for the future. You'll embrace challenges and change\n\nYou're real and you're true to yourself: We cherish and celebrate diversity so you'll feel right at home whoever you are and whoever you're talking to, you treat everyone the same.\n\nWhy should you join us?\nWhat sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive.\nHere are just some of the great things you can expect from us:\n25 days of annual leave\n\nA culture that emphasises results over hierarchy, process & ego: we place great emphasis on the quality, ingenuity and creativity of work.\n\nOpen communication, regular feedback: we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together.\n\nLearning Time: we all have dedicated learning time to focus on new skills, projects or interests that lay outside of your day-to-day job.\n\nHealth & Wellbeing: we want everyone to feel healthy and happy, so we offer private medical insurance via Bupa.\n\nCycle to Work Scheme: we're committed to building a sustainable business, so we encourage cycling to work.\n\nGympass subscription to a variety of gyms and wellbeing apps\n\nParticipation in the company shares program\n\nEnhanced parental pay & leave\n\nOur process: Talent screen → Hiring Manager → Technical interview (two Principal Engineers) → Whiteboard Session → Final.\nCompany Overview:\nRadiant is redefining how AI infrastructure is built.\nWe design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments.\nWe are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software.\nAs we scale, we're building this organisation from the ground up. We're looking for people who'd rather build the playbook than inherit one - who are comfortable doing the work themselves as well as directing others, and who can adapt as fast as our strategy does. This is a startup model: attitude and adaptability matter more to us than years of experience or the size of the team you've previously managed.","description_format":"text","description_chars":6264,"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":["Annual leave","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["MLOps","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-11-09T22:19:01Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":49,"reasons":["conf:2","win:early"],"computed_at":"2026-11-10T00:45:12Z"},"pay":null,"html_url":"https://alion.io/job/radiant-principal-software-engineer","json_url":"https://alion.io/job/radiant-principal-software-engineer.json","meta":{"generated_at":"2026-11-10T00:45:12Z","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":1605,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":8822},"rest":"https://alion.io/mcp/rest/get_company?id=8822"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fradiant-principal-software-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fradiant-principal-software-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fradiant-principal-software-engineer"},{"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/radiant-principal-software-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fradiant-principal-software-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3988045}},{"tool":"search_jobs","arguments":{"company":"radiant.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3988045},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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