{"id":128483,"url":"https://alion.io/job/composio-deployed-systems-engineer","title":"Deployed Systems Engineer","company":{"id":48368,"name":"Composio","domain":"composio.dev","url":"https://alion.io/company/composio","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"D","score":50,"open_postings":24,"ghost_share":0.833,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":124000,"max_usd":272000,"period":"year","method":"role_country_seniority_unknown","sample_n":4100},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Composio","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Gmail","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"PostgreSQL","optional":false},{"name":"SOC 2","optional":false},{"name":"Temporal","optional":false},{"name":"Vercel","optional":false},{"name":"Go","optional":true}],"status":"live","first_seen_at":"2026-06-17T02:47:19Z","employer_posted_date":"2026-06-17","last_verified_at":"2026-10-16T16:33:09Z","board_verified":true,"closed_at":null,"days_open":121,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":121},"description":"At Composio, we are building infrastructure that allows agents to communicate with the tools you use for work including Github, Gmail, Notion, Salesforce, etc. We are a small team of engineers wrangling problems from context to search, that help us provide the most capable bridge between your agents and your tools. We raised a $25M Series A from Lightspeed with angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), and Gokul Rajaram. We've 3x'd our ARR this year, and our customers range from your friends in the YC batch to Wabi, Glean, Zoom and many more.\nrunning stateful agent infrastructure inside someone else's cluster is new territory. this role defines what reliable, repeatable on-prem agent deployment looks like, across the customers running us in their own environments.\nTHE FRONTIER YOU'LL WORK ON\nfleet-managing agent runtimes across air-gapped, regulated, BYOK environments has no playbook. you define one.\nturning hand-managed on-prem deployments into a repeatable product. the difference between 5 self-hosted customers and 50.\nevery incident, CVE, and upgrade wave here is unsolved at the ecosystem level. your runbooks lead the industry.\nWHAT YOU'LL DO?\nown the on-prem lifecycle: helm charts, upgrades, the weekly release train, rollback paths.\ndrive chart convergence: diverged customer forks back onto one supported chart, with guardrails.\nbuild structured onboarding (replicated or equivalent) so a new customer deploys in days, not weeks.\ndebug across the stack: temporal workflows, k8s init ordering, storage backends, auth-refresh pipelines.\nown the security surface: CVE triage, patching, RCAs, bulletins. keep customers running when releases freeze.\nco-own per-customer tool patching with the platform team.\ndogfood Composio on your own deployment and support workflows.\n\"MUST HAVES\"\nif you are very good, nothing is a must per-se\ncore infra engineering\n- you've run software in environments you don't control: on-prem, VPC, air-gapped.\n- deep kubernetes and helm: chart authoring, init-job ordering, multi-environment releases.\n- you keep systems reliable while the product moves fast.\nfleet judgment\n- you think in version skew, upgrade waves, and rollback paths across many instances.\n- you separate one customer's bespoke ask from the primitive every install needs.\nai native\n- you have built with the language models.\n- you have opinions on agents, MCP, and where they break in real deployments.\nlinux - 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