{"id":1234194,"url":"https://alion.io/job/runlayer-member-of-technical-staff-infrastructure","title":"Member of Technical Staff - Infrastructure","company":{"id":686660,"name":"Runlayer","domain":"runlayer.com","url":"https://alion.io/company/runlayer","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":93,"open_postings":15,"ghost_share":0,"stale_share":0.067,"repost_share":0,"time_to_fill_p50_days":96,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":171000,"max_usd":340000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":890},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Zapier","optional":false}],"status":"live","first_seen_at":"2026-09-25T13:33:07Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-11-06T16:31:39Z","board_verified":true,"closed_at":null,"days_open":42,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":41},"description":"About Runlayer\nAI is transforming how every company operates, but most enterprises are stuck. They want to move fast with AI Agents, tools, and workflows, but they can't do it safely. We're fixing that.\nOur team built AI Actions for OpenAI, shipped Zapier Agents to millions of users, and launched the first remote MCP server with Anthropic. We helped establish the protocol, and now we're building the platform enterprises need to actually put AI to work.\nRunlayer is one platform for MCPs, Skills, and Agents: purpose-built security, fine-grained governance, and complete observability so organizations can go all-in on AI across the entire company without the risk. We just raised a $30M Series A led by Felicis, with participation from Khosla Ventures, bringing our total raised to $42M. Already trusted by Gusto, Instacart, Opendoor, dbt Labs, and Decagon.\nAbout the Role\nAs our Infrastructure Engineer, you'll own the reliability, performance, and scalability of Runlayer's infrastructure as we grow to serve enterprise customers across multiple deployment models: multi-tenant SaaS, single-tenant SaaS, and BYOC.\nWhy You'll Thrive Here\nImpact: Build the infrastructure foundation for the enterprise AI platform, directly enabling AI adoption at scale\n\nExcellence: Work closely with founders and a small, senior engineering team shipping fast in a high-growth environment\n\nOwnership: Own reliability end-to-end, from database performance to incident response to CI/CD pipelines\n\nWhat You'll Do\nOwn reliability and performance of our cloud infrastructure across AWS (ECS, Aurora, CloudWatch) and GCP\n\nManage and optimize Kubernetes clusters and container orchestration\n\nDrive database reliability engineering, including performance tuning and scaling\n\nBuild and maintain CI/CD pipelines for rapid, safe deployments\n\nRun incident response and on-call rotations\n\nPartner with product engineers to design scalable, resilient systems\n\nWhat We're Looking For\nExperience deploying and supporting on-prem / BYOC environments. We are looking for engineers who have experienced the challenges of scaling BYOC operations, and know what they would/wouldn’t do again\n\nBackground at a B2B company serving enterprise customers, ideally building infrastructure/platform products\n\nStrong AWS experience, particularly ECS, Aurora, Kinesis\n\nNetworking: VPC peering, Transit Gateway, PrivateLink, security groups, DNS, TLS termination\n\nCI/CD pipeline ownership and incident response experience\n\nBonus Qualifications\nGCP experience as we expand cross-cloud\n\nPython/Go familiarity\n\nExperience at an early-stage or high-growth company\n\nWhat We Offer\nWe provide a competitive package designed to attract and retain top talent who can work effectively with enterprise customers.\nCompetitive salary and equity - compensation that reflects your expertise and customer-facing responsibilities.\n\nPaid time off - paid vacation, paid sick leave, and paid parental leave.\n\nProfessional development - budget for conferences, courses, and certifications in AI, enterprise software, and customer success.\n\nTop-tier equipment - your choice of laptop and accessories to create your ideal work environment.\n\nHealth benefits - comprehensive health, dental, and vision coverage.\n\nCustomer interaction opportunities - work directly with innovative companies and see the immediate impact of your work.\n\nNot quite the right fit? 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