1377 Java J2ee jobs in Pacoima, CA

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      Java Developer

      Techgene Solutions

      Pasadena, CA 91104

      New, Posted 1 day ago
      Sr. Enterprise Analyst (Workday Comp)

      Columbus Sverige

      Thousand Oaks, CA 91360

      ~ 41 min Onsite

      • Understanding of HRIS security concepts and data privacy best practices.
      • Technical Skills: In‑depth knowledge of Workday HRIS modules (Core HR, Payroll, Benefits, Recruiting, Talent, etc.).
      • Writing module design documents and test cases.
      • Occasionally may be required to travel within the Continental U.S.
      • Bachelor's degree in the field of Computer Science, Finance and/or related field is required or equivalent combination of education, training, and experience.
      • Single Point of Contact for supporting existing production issues and managing SLAs.
      • Proven experience as a Sr. Business Analyst in implementing and managing Workday's Core and Advanced Compensation workstreams and Talent and Performance modules.
      • U.S. Citizen or Green Card Holder
      • Strong communication skills: oral presentations, writing, negotiation, active listening, influencing positive team dynamics.
      • Hands‑on experience and strong technical knowledge of Workday's Compensation module, including configuration, integrations, business processes, reporting, and security.
      • Proficiency with Workday Report Writer and advanced reporting techniques.
      • Ability to work in a multi‑project environment and support multiple internal customer/departments.
      • Physical Demands: Ability to work in an office environment (Constant).
      • Minimum 12‑15 years of experience of BRM / BA experience with multiple SaaS and Cloud Systems.
      • Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent).
      • Hands on expertise to launch Annual Merit, Bonus and Mid‑year and Annual performance review cycles.
      • Strong knowledge of interfaces, workflow, and underlying Database tables required.
      • Special Requirements: U.S. Citizen, U.S. Permanent Resident (Green Card holder) or asylum/refugee status as defined by 8 U.S.C. 1324b(a)(3) required.
      • Experience with system integrations and data migration projects is a plus.
      SmartExplore AI is experimental.
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      DiversityJobs
      Manager, Cloud Architect

      KPMG

      Los Angeles, CA 90071

      Health InsuranceRetirement Benefit
      iHire
      Sales Leader

      TicketManager

      Calabasas, CA 91302

      $110,000-$140,000/yr
      Health InsurancePaid Time OffRetirement Benefit
      Sr Machine Learning Engineer

      Disney

      Burbank, CA 91505

      $155,700-$208,700/yr
      ~ 13 min Onsite

      • Build emulation and simulation environments (digital twins) of the infrastructure to test AI/ML-driven automation under realistic scenarios and allow for faster ideation and iteration for architects and engineers.
      • Applies systems thinking to understand how individual components fit into larger, more holistic solutions.
      • Demonstrated success designing and building enterprise-scale systems and reusable software frameworks.
      • Capable of quickly shifting between detailed, hands-on work and high-level strategic thinking.
      • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
      • Experience with AI/ML technologies and data engineering concepts. Preferred: Proven hands-on building AI agents.
      • 7+ years of software engineering experience, with expertise in automation, machine learning, and AI technologies
      • Solid foundation in statistics, data analysis, and applied machine learning techniques
      • Proven hands-on experience using software to build frontend, APIs and backend functionality; strong proficiency with Python, JavaScript, TypeScript, Go, or Rust
      • Experience operationalizing models in distributed, production environments
      • Design, train, and deploy machine learning models for anomaly detection, forecasting, predictive analytics, event correlation, pattern recognition, classification, causal analysis, and more in distributed environments that can be used to surface leading indicators of failure
      • Experience working with large-scale, real-world datasets (noisy, incomplete, non-standardized, and evolving)
      • Ability to translate ambiguous operational problems into solvable machine learning use cases
      • Experience with modern cloud platforms, container orchestration (Kubernetes/Docker), identity/auth frameworks, data and workflow orchestration.
      • Strong hands-on experience building and deploying event-driven or streaming data, machine learning models in production
      • Proven hands-on experience building production-grade ML models and inference pipelines; strong proficiency with modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, etc.
      • Strong communication, collaboration and leadership skills
      SmartExplore AI is experimental.

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