{"id":1248233,"url":"https://alion.io/job/otter-ai-production-engineer","title":"Production Engineer","company":{"id":4466,"name":"Otter.ai","domain":"otter.ai","url":"https://alion.io/company/otter-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":62,"open_postings":19,"ghost_share":0.632,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":155000,"max":185000,"currency":"USD","period":"year","gross":null,"usd_annual":185000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Go","optional":false},{"name":"Google Workspace","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Okta","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2025-08-04T21:44:48Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-16T13:03:46Z","board_verified":true,"closed_at":null,"days_open":437,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":437},"description":"The Opportunity\nWe are seeking a talented Engineer with extensive system knowledge who wants to be part of a team to build and operate large-scale systems that enables reliable and rapid deployment with effective monitoring and resilient operations. \nYour Impact\nAutomation! Capability! Performance! Scale!\nHave a strong influence in defining our engineering best practices and deployment process\nHelp automate the continuous integration and testing processes to enable and scale\nManage and maintain infrastructure \nOwn, design and implement monitoring systems such as Prometheus and Grafana\nOptimize Linux systems for performance, reliability, and security\nOwn configuration management process(es) and build product features as appropriate\nInvestigate and dig into data to find the root of a problem and strategize with our engineers on solutions\nParticipate in on-call rotation\nWe're looking for someone who\nBachelor's in Computer Science or Electrical Engineering (MS preferred)\n3+ years experience in SRE/Production Engineering, and IT Systems / Enterprise IT / Systems Engineering / DevOps-internal tooling, supporting internal customers\nExpert level experience architecting, developing, and troubleshooting large scale systems\nAdvanced level proficiency with one or more programming languages (i.e. Python, Golang)\nExtensive experience with CI/CD pipelines and infrastructure as code (i.e. Terraform, Ansible)\nYou have a strong familiarity with AWS services (i.e. ECS, S3, ALB, VPC) \nYou have knowledge in containers and orchestration using Kubernetes\nExperience building production quality cloud infrastructure that enables reliable and rapid deployment of large-scale systems with effective monitoring and resilient operations \nYou thrive working in a fast paced, startup environment \nYou have a proven track record taking on projects from inception to launch\nSolid troubleshooting fundamentals across macOS/Windows/Linux, networking basics, and security hygiene\nAble to work through ambiguous problems and coordinate with IT, Security, and Engineering stakeholders\nIdentity and access workflows (Okta/Entra, Google Workspace/M365), provisioning automation\nAbout Otter.ai \nWe are in the business of shaping the future of work. Our mission is to make conversations more valuable.\nWith over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.\nOtter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity.\n*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.\nSalary range\nSalary Range: $155,000 to $185,000 USD per year.\nThis salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. 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