{"id":1466468,"url":"https://alion.io/job/cast-ai-senior-software-engineer-product-foundations","title":"Senior Software Engineer | Product Foundations","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":82,"open_postings":7,"ghost_share":0,"stale_share":0.714,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CY","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":32,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Akamai","optional":false},{"name":"Go","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"Time Series","optional":false},{"name":"ArgoCD","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"ClickHouse","optional":true},{"name":"GCP","optional":true},{"name":"GitLab CI","optional":true},{"name":"GitOps","optional":true},{"name":"Grafana","optional":true},{"name":"gRPC","optional":true},{"name":"Loki","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prometheus","optional":true},{"name":"Rest API","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-29T14:18:58Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-22T02:35:26Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Why Cast AI?\nCast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.\nThe old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.\nOver 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.\nGlobal team, diverse perspectives\n We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. \nUnicorn momentum\n In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.\nJoin us as we build the future of autonomous infrastructure.\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, Slovenia, and Ukraine.\nWhat you'll be solving\nEvery dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship.\nThis posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved.\nRequirements\nStrong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.\nProduction experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.\nYou've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences.\nGood understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar.\nStrong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.\nExperience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources.\nHands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster.\nExperience with AI coding agents and agentic development workflows.\nYou've personally driven a complex project end-to-end.\nStrong English skills, both verbal and written.\nStartup mindset: adaptable, proactive, and comfortable with ambiguity.\nParticipate in on-call rotation for teams that require it.\nNice to haves\nMulti-tenant identity system design - authentication, authorization, SSO.\nEnterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync.\nBilling, audit-trail, notification, or feature-flag systems in production.\nExperience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability.\nHigh-cardinality time-series ingestion and querying at scale.\nUnderstanding of Kubernetes internals.\nCI/CD and DevOps practices experience.\nObservability tooling (Prometheus, Grafana, OpenTelemetry) in production.\nResponsibilities\nDesign, build, and operate backend services in Go that other teams and customers depend on being correct.\nOwn features end-to-end: from design through implementation, testing, and production rollout.\nDebug complex production issues involving security-, money-, or trust-critical flows.\nCollaborate with product and other engineering teams to solve problems that don't have textbook solutions.\nContribute to product direction and backlog - shape what gets built next, not just how it's built.\nTools we use daily\nProgramming Language: Go\nCloud & Orchestration: Kubernetes, AWS, GCP, Azure\nInfrastructure as Code: Terraform\nDatabases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse\nMessaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs\nObservability: Prometheus, Grafana, Loki, Tempo\n CI/CD & GitOps: GitLab CI with ArgoCD\nWhat’s in it for you?\nCompetitive salary (€6,500 - €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)\nEnjoy a flexible, remote-first global environment.\nCollaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.\nEquity options.\nGet quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.\nSpend 10% of your work time on personal projects or self-improvement.\nLearning budget for professional and personal development - including access to international conferences and courses that elevate your skills.\nAnnual hackathon to spark new ideas and strengthen team bonds.\nTeam-building budget and company events to connect with your colleagues.\nEquipment budget to ensure you have everything you need.\nExtra days off to help maintain a healthy work-life balance.\nYou'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.\nHiring process\nScreening call with Recruiter\nHiring Manager interview\nTechnical interview (system design)\nLive coding\nCulture Check interview with an executive\n*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.\n*Please note that 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