{"id":3146573,"url":"https://alion.io/job/random-trees-autosys-engineer-workload-automation","title":"AutoSys Engineer - Workload Automation","company":{"id":3801016,"name":"Random Trees","domain":"randomtrees.com","url":"https://alion.io/company/random-trees","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Unix","optional":false},{"name":"Windows","optional":false},{"name":"Windows Server","optional":false},{"name":"DNS","optional":true},{"name":"Git","optional":true},{"name":"ITIL","optional":true},{"name":"Jenkins","optional":true},{"name":"Oracle","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-23T10:11:25Z","employer_posted_date":null,"last_verified_at":"2026-10-23T10:11:25Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"About the job : \n\nMost companies experiment with AI tools, but at RandomTrees we build AI systems that run real enterprise operations.\n\nAt RandomTrees, our teams design enterprise AI platforms and intelligent agents that automate complex decisions for large organizations.\n\nThese systems already operate across industries such as pharma, energy, manufacturing, logistics, and retail.\n\nMore than 300 AI agents already live inside our AI Marketplace, and the ecosystem keeps growing.\n\nAround it, we have secured several patents, and many more are on the way.\n\nWe also build AI based data accelerators that automate large scale enterprise data engineering.\n\nPeople who join us do not work on experiments; they build real systems.\n\nThey enjoy solving hard problems, and they take pride in building systems organizations rely on every day.\n\nPosition Summary : \n\nWe are looking for an experienced AutoSys professional to build, upgrade and maintain enterprise workload automation environments.\n\nThe role focuses on AutoSys (Workload Automation AE) version upgrades, job migrations, agent rollouts using silent installation, and environment build activities, supported by strong Unix shell and Python scripting.\n\nThe ideal candidate has hands-on experience with AutoSys plugins, web services and EEM configuration, and can work independently on complex lifecycle projects.\n\nKey Responsibilities : \n\n- Plan and execute AutoSys version upgrades, including pre-checks, backups, rollback planning, post-upgrade validation and cutover.\n\n- Perform job migrations between environments or versions : JIL export and import, calendars, machines, global variables and dependency validation.\n\n- Carry out agent installations and upgrades using silent (unattended) installation across large Unix/Linux and Windows server estates.\n\n- Build new AutoSys environments from scratch : Scheduler, Application Server, Event Server (database) and Agents, including HA/DR configuration where required.\n\n- Configure and administer EEM : users, groups, policies, authentication and authorisation, and integration with AutoSys.\n\n- Install, configure and support AutoSys plugins and web services (REST/AEWS) for integration with other tools and applications.\n\n- Develop Unix shell and Python scripts to automate installations, migrations, validations, health checks and reporting.\n\n- Troubleshoot Scheduler, Agent, database and connectivity issues, and support L2/L3 incidents with root cause analysis.\n\n- Prepare technical documentation, runbooks, migration plans and change records.\n\n- Coordinate with infrastructure, DBA, security and application teams during planned changes and release windows.\n\nRequired Skills : \n\n- 7+ years of proven IT experience.\n\n- Proven experience in AutoSys version upgrades and job migrations.\n\n- Agent upgrades and installation using silent installation.\n\n- Strong Unix shell scripting and Python (mandatory).\n\n- Hands-on experience building and upgrading AutoSys environments.\n\n- Working knowledge of AutoSys plugins, web services and EEM configuration.\n\n- Strong command of JIL, scheduling, dependencies, calendars and AutoSys CLI utilities (autorep, sendevent, autostatus, autosyslog, etc.).\n\nGood to Have : \n\n- Experience with WCC (Workload Control Center) setup and troubleshooting.\n\n- Oracle / SQL knowledge and AutoSys database connectivity troubleshooting.\n\n- Windows batch scripting and Windows Agent administration.\n\n- Networking basics : ports, DNS, firewall, SSL/certificates.\n\n- Experience with AutoSys HA/DR setups.\n\n- Familiarity with REST APIs, Git and Jenkins for automation of JIL deployment.\n\n- Exposure to ITIL processes, change management and incident/problem management.\n\nTotal Experience : 7-10 years\n\nSkills\nAutosys, Unix, Python, Scripting, Identity Management, Tivoli Workload Scheduler, ITIL, Tidal Enterprise Scheduler","description_format":"text","description_chars":3845,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","AI Consulting & 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