{"id":3459790,"url":"https://alion.io/job/cast-ai-senior-software-engineer-ai-agents-cloud-platform-cast-pilot-team","title":"Senior Software Engineer | AI Agents & Cloud Platform (Cast Pilot team)","company":{"id":54,"name":"CAST AI","domain":"cast.ai","url":"https://alion.io/company/cast-ai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":6,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Estonia","Greece","Latvia","Lithuania","Poland","Slovakia","Ukraine"],"countries":["EE","GR","LV","LT","PL","SK","UA"],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":31,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":105000,"period":"year","method":"role_seniority_country_cell","sample_n":23},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Loki","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prometheus","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"ClickHouse","optional":true},{"name":"gRPC","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Rest API","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-29T10:51:52Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T22:56:10Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"What you'll be solving\nA platform engineer opens their AI client of choice, connects it to CAST AI, and types: \"Why did our spend jump 40% in eu-west last week?\" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer.\nYour job is to make that interaction boring. Reliably, securely, at production scale.\nBehind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production.\nCAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself. Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable.\nThis is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks.\nThis is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.\nRequirements\nStrong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior.\n\nProduction experiencewith Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.\n\nExperience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale.\n\nSolid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts.\n\nYou've personally driven a complex project end-to-end.\n\nHands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build.\n\nYou've used observability tooling in production.\n\nCI/CD and DevOps practices experience.\n\nStrong English skills, both verbal and written.\n\nStartup mindset: adaptable, proactive, and comfortable with ambiguity.\n\nWhat will make you stand out\nYou've built agentic systems that shipped: MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team.\n\nDeep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage.\n\nExperience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops.\n\nKnowledge of OAuth 2.0 / OIDC and multi-tenant authorization design.\n\nDeep knowledge of EKS, GKE, or AKS internals.\n\nKubernetes or cloud-native OSS contributions.\n\nResponsibilities\nDesign and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure.\n\nBuild and evolve our public, permission-aware MCP server: curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients.\n\nDevelop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on.\n\nWrite production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time.\n\nOwn features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks).\n\nDebug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale.\n\nBuild the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions.\n\nContribute to product direction and backlog. Shape what gets built next, not just how it's built.\n\nParticipate in the team's on-call rotation.\n\nTools We Use Daily\nProgramming Languages: Go\n\nAI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines\n\nCloud & Orchestration: Kubernetes, AWS, GCP, Azure\n\nInfrastructure as Code: Terraform\n\nDatabases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse\n\nWorkflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST\n\nObservability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog\n\nCI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo\n\nWhat's in it for you?\nCompetitive salary (€6,500 to €9,000 gross, depending on the level of experience)\n\nWork on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook.\n\nEquity options.\n\nReal users, fast: your work ships to hundreds of organizations in weeks, not quarters.\n\nEnjoy a flexible, remote-first global environment.\n\nCollaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.\n\nSpend 10% of your work time on personal projects or self-improvement.\n\nLearning budget for professional and personal development, including access to international conferences and courses.\n\nAnnual hackathon to spark new ideas and strengthen team bonds.\n\nTeam-building budget and company events to connect with your colleagues.\n\nEquipment budget to ensure you have everything you need.\n\nExtra days off to help maintain a healthy work-life balance.\n\nHiring process\nScreening call with Recruiter\n\nHiring Manager interview\n\nTechnical interview (system design)\n\nLive coding\n\nCulture Check interview with an executive\n\nAs part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. 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