Role Description We are seeking an orchestration developer to design, build, and operate distributed execution platforms that support agentic, AI‑driven workflows and system‑to‑system coordination at scale. This role focuses on building reliable, asynchronous systems that enable autonomous decision‑making, multi‑step execution, and collaboration between intelligent agents. You will work at the platform layer, enabling AI‑powered components to reason, communicate, and act safely within well‑defined system boundaries. Key Responsibilities - Platform & Workflow Development - Design and implement distributed workflow and execution components - Build asynchronous, event‑driven communication between services and agents - Implement coordination, delegation, and handoff patterns across agent‑based systems - Develop APIs and internal services supporting execution pipelines - Manage state, memory, and context across multi‑step workflows - AI‑Enabled System Integration - Integrate large language models (LLMs) as controlled system components - Implement guardrails, structured outputs, retries, and fallback behaviors - Support agent‑to‑agent communication and tool invocation patterns - Ensure AI and agent behavior is observable, traceable, and auditable - Reliability & Operability - Design failure handling, idempotency, and retry strategies for autonomous execution - Improve observability through logging, metrics, and tracing - Debug complex, multi‑step execution issues in distributed systems - Contribute to platform scalability, performance, and operational maturity Qualifications - 3–6 years of backend or platform development experience - Strong experience with distributed or asynchronous systems - Experience designing event‑driven or message‑oriented architectures - Proficiency designing APIs and service‑to‑service communication - Strong system-level debugging and problem-solving skills - Familiarity with MCP, A2A protocols, Node.js, Python Preferred Qualifications - Experience working with AI‑powered or agentic systems - Familiarity with LLM integration, tool invocation, or RAG‑based architectures - Experience building resilient systems that tolerate partial failure - Exposure to observability, tracing, or evaluation in complex platforms - Experience with OpenShift / Kubernetes or other containerization platform technologies Benefits - Health and Wellbeing: - Health, Dental, and Vision Care - Onsite Health Centers - Employee Assistance Program - Wellness program - Financial Benefits: - Competitive pay - Profit Sharing - 401k Plan with Company Matching - Life and Disability Insurance - Tuition Reimbursement - Paid Time Off: - PTO and Sick Leave (starting at 20 days per year) - Holidays (10 per year) - Parental Leave - Military Leave - Bereavement - Additional Perks: - Nursing Mothers Benefits - Voluntary Legal - Pet Insurance - Employee Discount Program Salary Information A reasonable estimate of the current base pay range for this position is $84,400 to $103,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that are not included in the base pay.

• Design, implement, and maintain a scalable cloud infrastructure by applying Infrastructure as Code (IaC) principles. • Build containerized applications and manage Kubernetes clusters, with a focus on Google Kubernetes Engine (GKE). • Design and maintain robust CI/CD pipelines using modern tools such as ArgoCD, GitHub Actions, and Jenkins to enable rapid deployments. • Automate all aspects of infrastructure and IT operations to reduce manual work, improve reliability, and optimize the user experience. • Research and implement AI tools to enhance operational efficiency, security, and predictive maintenance capabilities.

• Design, develop, and implement Oracle JD Edwards EnterpriseOne (JDE) solutions for the Finance module, including General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Fixed Assets (FA), and Cash Management.• Customize and enhance JDE Financials functionality based on business requirements and ensure seamless integration with other JD Edwards modules.• Develop, test, and deploy custom reports, interfaces, and business functions using JD Edwards tools like CNC (Configurable Network Computing), E1 Forms, E1 Page, Business Functions (UBEs), NER (Named Event Rules), and Advanced Pricing.• Troubleshoot, debug, and resolve technical issues in the JDE Finance module environment, ensuring high availability and performance.• Collaborate with functional teams to translate business requirements into technical specifications and implement appropriate solutions.• Maintain and update JD Edwards financial applications to ensure they are current with the latest versions, patches, and updates.• Perform data migration, testing, and validation to support upgrades, implementations, and new module deployments.• Create and manage user roles and security in JD Edwards to ensure data privacy and user access control.• Provide ongoing support and user training for the Finance module, ensuring that end-users can effectively utilize the system.• Develop custom reports and dashboards using JDE tools (e.g., BI Publisher, Orchestrator, and Real-Time Data Access) for financial analysis and decision-making.• Ensure compliance with financial reporting standards and internal controls as per industry best practices.• Provide guidance and mentoring to junior team members in JD Edwards development best practices and the Finance module functionality.

• Atuar em um aplicativo financeiro modular de grande escala. • Trabalhar com SwiftUI, Combine e em transição ativa para Swift 6. • Explorar Kotlin Multiplatform (KMP) para compartilhamento de lógica entre plataformas.