{"id":2107204,"url":"https://alion.io/job/bot-auto-software-engineer-core-platforms","title":"Software Engineer, Core Platforms","company":{"id":177011,"name":"Bot Auto","domain":"bot.auto","url":"https://alion.io/company/bot-auto","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":173000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":850},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Ansible","optional":false},{"name":"Apache APISIX","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Argo Workflows","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"JavaScript","optional":false},{"name":"Kong","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Loki","optional":false},{"name":"minikube","optional":false},{"name":"MQTT","optional":false},{"name":"NATS","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"OpenTofu","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Rancher","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-08T19:20:17Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T02:47:58Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Company Introduction\nAt Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.\nWe are seeking a curious and motivated Software Engineer, Core Platforms to help build and run the internal platforms our engineering teams rely on every day. Working alongside senior platform engineers, you will develop platform services, automation, and tooling that make our engineers faster, our systems more reliable, and our infrastructure more cost-efficient. This is a hands-on role built for growth: you will ship production code early, get regular mentorship and code review, and build deep experience in Kubernetes, infrastructure-as-code, and distributed systems while supporting groundbreaking work in autonomous transportation.\nKey Responsibilities\nContribute to the development and operation of our Kubernetes-based platforms, including features for scheduling, autoscaling, and internal platform tooling.\nWrite and maintain infrastructure-as-code (e.g., Terraform, Ansible) for on-prem, cloud, and Kubernetes environments, following team standards and reviews.\nHelp build and support workflow platforms that run data pipelines, simulation jobs, ML pipelines, and CI/CD.\nAssist in deploying and operating self-hosted LLMs and agentic workflows used for internal automation.\nSupport the operation of API gateways and messaging/streaming systems (including MQTT), handling configuration, upgrades, and troubleshooting.\nBuild dashboards, alerts, and logging integrations that improve visibility into platform health.\nHelp track infrastructure costs and implement optimizations identified with senior engineers.\nParticipate in on-call rotations, incident response, and post-incident reviews, with support from experienced teammates.\nWrite clear documentation and runbooks, and help internal users adopt platform services.\nRequired Qualifications\nBachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience\n0-2 years of experience in software engineering, platform engineering, DevOps, or SRE (internships, co-ops, and substantial personal or open-source projects count)\nSolid programming skills in at least one of: Python, Go, Java, JavaScript/TypeScript\nWorking knowledge of Linux, networking fundamentals, Git, and containers (Docker)\nEagerness to learn, take feedback, and own tasks from start to finish\nPreferred Qualifications\nHands-on exposure to Kubernetes (EKS, GKE, AKS, RKE2/Rancher, or a local setup like kind/minikube)\nExperience with AWS, GCP, or Azure, from coursework, projects, or work\nFamiliarity with an IaC tool such as Terraform, Pulumi, OpenTofu, or Ansible\nExposure to workflow orchestration tools such as Argo Workflows or Airflow\nInterest or project experience in running LLMs or building agent-based automation\nFamiliarity with messaging/streaming systems (NATS JetStream, Kafka, Pulsar, RabbitMQ) or API gateways (Kong, APISIX)\nExperience using Prometheus, Grafana, Loki, OpenTelemetry, or similar observability tools\nInterest in cost-aware engineering and infrastructure 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