The IBM Maximo Developer will design, implement, and troubleshoot Maximo solutions, focusing on compatible units and project execution while training users.
The ideal candidate will be a Maximo expert, possessing in-depth functional and technical understanding of IBM Maximo EAM/APM, specifically related to compatible units. The candidate will be a hands-on developer. Your responsibilities include:
- Delivering high-quality Maximo solutions, emphasizing teamwork and best practices.
- Demonstrating strong project execution and communication skills.
- Maintaining meticulous attention to detail.
- Design and implement Maximo Compatible Unit (CU) libraries to ensure compliance with standards and requirements.
- Participate in workshops to identify and resolve CU setup and CUE usage issues.
- Implement and verify recommended changes within Maximo.
- Assist in deploying CU changes and train designers and administrators on their use.
- Document current and future CU configurations.
- Review training and testing documentation.
- Troubleshoot integration issues between engineering design software and Maximo.
Requirements
- Minimum 7 years of experience providing enterprise or operations architecture strategies, enterprise or operations integration solutions, and services leveraging various applications and technical platforms.
- Excellent integration skills
- Preference towards understanding the EAM or APM business process and current and emerging associated technologies to manage and deliver quality enterprise solutions in both Information Technology (IT) and Operations Technology (OT) domains to meet client objectives.
Benefits
Similar Jobs
Edtech • Fintech • Payments • Social Impact • Financial Services • Big Data Analytics
Owner of end-to-end ecommerce features: design, implement, and maintain scalable backend services and performant React/Next.js frontends. Integrate payment gateways and procurement systems (PunchOut), mentor engineers, uphold code quality, and improve platform stability across Node.js, MySQL, and MongoDB.
Top Skills:
CoupaCxmlGraphQLJaggaerJavaScriptMongoDBMySQLNest.JsNext.JsNistNode.jsOciOracle ProcurementPci-DssPunchoutReactRestSap AribaSoc 2Typescript
Healthtech • Software
Serve as the internal expert on AcuityMD healthcare data products, support commercial teams on complex data questions, and partner with Engineering to build an AI context layer and evaluation framework to measure agentic solution quality and data explainability.
Top Skills:
AIExcelSQL
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design and implement UVM- and assertion-based verification environments for display ASICs. Collaborate with digital, analog, software teams; create/execute verification plans, coverage, and automation using Siemens Questa and scripting in Linux.
Top Skills:
AmbaAsicEmbedded MicrocontrollerEmulationI2CLinuxMakeMipiPerlPythonRtlShellSiemens QuestaSpiSystemverilogTclUvmVerilog
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
