{"id":380603,"url":"https://alion.io/job/aion-engineering-lead","title":"Engineering Lead","company":{"id":5279,"name":"Aion","domain":"aion.io","url":"https://alion.io/company/aion","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":10,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Management","role_family":"Management","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":["Bengaluru, India"],"countries":["IN"],"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":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Prometheus","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-07-22T00:00:00Z","employer_posted_date":"2026-07-22","last_verified_at":"2026-10-30T18:52:18Z","board_verified":true,"closed_at":null,"days_open":101,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":99},"description":"About aion\nAion is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether an organization is modernizing internal operations, launching AI-powered products, or transforming customer experiences, Aion takes them from concept to production on a single, unified platform.\nWe work differently than most AI companies: our teams deploy alongside our customers, turning production-ready AI into real business outcomes in weeks, not quarters.\nWe’re a fast-growing, VC-backed startup led by founders with a track record of successful exits. With teams across the US, UK, and India, we’re building the next generation of enterprise AI and we’re looking for exceptional people to help us scale.\nWho You Are\nYou're an experienced engineering leader who has built and scaled high-performing engineering teams while delivering complex software platforms from concept to production. You thrive at the intersection of technical leadership, product strategy, and execution, helping teams solve challenging engineering problems while maintaining a strong focus on customer outcomes.\nYou have a strong background in distributed systems, cloud infrastructure, AI platforms, or enterprise software. You're comfortable making architectural decisions, mentoring engineers, driving engineering excellence, and collaborating across product, design, customer success, and leadership teams.\nYou're product-minded and understand that every technical decision impacts scalability, reliability, developer experience, and customer success. You enjoy working in fast-moving environments where ownership, execution, and innovation go hand in hand.\nWhat You'll Do\nTechnical Leadership & Architecture\nLead the design and development of Aion's core platform and infrastructure, ensuring scalability, reliability, and performance.\nDrive high-level architecture discussions and establish engineering standards across multiple products and services.\nMake strategic technical decisions balancing product requirements, engineering velocity, and long-term platform sustainability.\nReview system designs, technical proposals, and implementation plans to ensure engineering excellence.\nEngineering Management\nLead, mentor, and grow a high-performing team of software engineers.\nFoster a culture of ownership, collaboration, continuous learning, and technical excellence.\nEstablish engineering best practices across code quality, testing, documentation, security, and operational readiness.\nSupport hiring, onboarding, performance management, and career development of engineering team members.\nProduct Delivery & Execution\nPartner closely with Product, Design, AI, Infrastructure, and Customer Success teams to translate business requirements into scalable technical solutions.\nDrive project planning, execution, prioritization, and delivery across multiple engineering initiatives.\nEnsure timely delivery of high-quality software while balancing technical debt and platform investments.\nCollaborate with customers to understand deployment challenges and translate feedback into product improvements.\nPlatform Reliability & Operations\nBuild resilient, highly available systems capable of supporting enterprise-scale AI workloads.\nDrive improvements in platform performance, observability, monitoring, incident response, and operational excellence.\nOptimize development workflows, CI/CD pipelines, release processes, and engineering productivity.\nEstablish scalable engineering processes that support rapid company growth.\nCross-functional Collaboration\nWork closely with executive leadership to align engineering strategy with business objectives.\nCollaborate across engineering teams to drive platform consistency, architectural alignment, and knowledge sharing.\nRepresent engineering in customer discussions, technical workshops, and strategic planning sessions.\nContribute to the long-term technology vision and roadmap for Aion's enterprise AI platform.\nRequirements\nTechnical Skills & Experience\n8+ years of experience building and scaling software platforms, distributed systems, or enterprise applications.\n2+ years of experience leading engineering teams in a fast-paced startup or high-growth environment.\nStrong proficiency in Golang is preferred. Experience with Python, Rust, Java, or C++ is a plus.\nDeep understanding of distributed systems, microservices architecture, cloud-native applications, and API design.\nExperience with Kubernetes, Docker, cloud platforms, and Infrastructure-as-Code.\nStrong knowledge of databases, caching systems, messaging platforms, and event-driven architectures.\nExperience building highly scalable, low-latency, production-grade systems.\nFamiliarity with AI infrastructure, LLM deployment, inference systems, orchestration platforms, or MLOps is highly desirable.\nExperience implementing observability using Prometheus, Grafana, OpenTelemetry, and distributed tracing.\nStrong understanding of software security, authentication, authorization, and enterprise deployment practices.\nBonus/ Good to Have\nAI Platform Engineering: Experience building AI platforms, model serving infrastructure, orchestration systems, or enterprise AI products.\nCloud Infrastructure: Experience with AWS, Azure, GCP, Kubernetes Operators, Terraform, or platform engineering.\nEnterprise Software: Experience building multi-tenant SaaS platforms, customer VPC deployments, or on-premises enterprise solutions.\nDeveloper Experience: Experience building internal developer platforms, SDKs, APIs, developer tooling, or engineering productivity platforms.\nStartup Leadership: Experience scaling engineering teams from early-stage startup to growth-stage organizations\nBenefits\nPreferred Attributes:\nFounder-level ownership and bias for action.\nStrong strategic thinking and ability to connect technical decisions to business impact.\nExcellent communication and mentoring skills.\nThrives in ambiguity, fast-paced environments, and early-stage startup culture.\nWhy Join aion?\nWork directly with high-pedigree founders shaping technical and product strategy.\nBuild infrastructure powering the future of AI compute globally.\nSignificant ownership and impact with equity reflective of your 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