{"id":3394096,"url":"https://alion.io/job/kake-senior-backend-engineer-node-jstypescript","title":"Senior Backend Engineer (Node.js/TypeScript)","company":{"id":4454565,"name":"Kake","domain":"kake.co","url":"https://alion.io/company/kake-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":32,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":83000,"max_usd":212000,"period":"year","method":"global_role_seniority_cell","sample_n":7767},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"Firebase","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google GKE","optional":false},{"name":"Jaeger","optional":false},{"name":"Kubernetes","optional":false},{"name":"NATS","optional":false},{"name":"Node JS","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Slack","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Yarn","optional":false},{"name":"Cloudflare","optional":true},{"name":"Fastly","optional":true},{"name":"JavaScript","optional":true},{"name":"Swagger","optional":true},{"name":"Vitest","optional":true}],"status":"live","first_seen_at":"2026-05-28T22:36:50Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-29T18:22:08Z","board_verified":true,"closed_at":null,"days_open":154,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":153},"description":"We are seeking a Backend Software Engineer with strong expertise in Node.js, TypeScript, and cloud-native microservices architecture to help build and scale a modern streaming and fan engagement platform. This role focuses on designing and maintaining backend APIs, distributed systems, event-driven services, and multi-cloud infrastructure across GCP and AWS environments. The ideal candidate has experience working in production-scale systems, Kubernetes deployments, infrastructure-as-code, and message queue architectures within a fully remote, fast-paced engineering team. Experience in media streaming, integrations, observability tooling, and scalable backend infrastructure is highly valued.\nKey Responsibilities\nBuild and maintain REST HTTP services and background worker/RPC services across a large microservice ecosystem\nDesign and support scalable event-driven architectures using message queues and distributed systems\nDevelop and maintain integrations with third-party platforms and APIs including Stripe, Shopify, Twitch, HubSpot, Slack, and Mailchimp\nSupport streaming infrastructure integrations including video ingestion, HLS processing, Mux, and live stream workflows\nManage and optimize data pipelines across MongoDB Atlas, Redis, Firebase, and Google BigQuery\nImplement and maintain Kubernetes deployment manifests, ArgoCD GitOps workflows, and CI/CD pipelines\nBuild and manage infrastructure-as-code solutions using Terraform and Terramate across both GCP and AWS\nContribute to observability and monitoring initiatives using OpenTelemetry, Prometheus, Jaeger, and structured logging solutions\nCollaborate with cross-functional teams in a fully remote environment while working autonomously on engineering initiatives\nUtilize AI-assisted development tools such as Claude, Cursor, and GitHub Copilot to improve productivity and engineering efficiency\nCore Requirements\nStrong experience with Node.js and TypeScript in production backend systems\nExperience designing and maintaining REST APIs and background worker/queue services\nStrong understanding of microservices and event-driven architectures\nExperience with MongoDB or similar document databases at scale\nFamiliarity with Redis, Pub/Sub systems, NATS, SNS/SQS, or comparable messaging technologies\nExperience with Kubernetes fundamentals including deploying to GKE or EKS\nFamiliarity with both Google Cloud Platform (GCP) and Amazon Web Services (AWS)\nExperience working with monorepo tooling such as Nx or Yarn workspaces\nUnderstanding of CI/CD workflows, Docker, and GitOps deployment strategies\nAbility to work autonomously in a fully remote environment with minimal oversight\nStrong problem-solving and debugging skills across distributed systems\nExcellent written and verbal communication skills in English\nAbility to work independently in a remote, fast-paced environment\nNice-to-Have\nTerraform or Terramate infrastructure-as-code experience\nMulti-cloud architecture experience across GCP and AWS\nOAuth2/OIDC SSO integration experience\nExperience with video streaming technologies including HLS and Mux\nPayment platform integration experience, particularly Stripe\nExperience with ArgoCD and GitOps workflows\nOpenTelemetry or distributed tracing experience\nExperience with BigQuery, Apache Beam, or Dataflow analytics pipelines\nFamiliarity with Fastly or Cloudflare CDN configuration\nExperience integrating with Shopify or Twitch APIs\nPrevious work within fan engagement, live events, media, or entertainment platforms\nExperience with 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