The engineer will support Active Directory Domain Services (AD DS), Group Policy Management, DNS, DHCP, Microsoft Entra ID (Azure AD), Microsoft 365 integration, VMware infrastructure, and Windows Server environments while ensuring compliance with operational standards, security policies, audit requirements, and service level commitments.
The role also involves supporting vulnerability remediation, CVE workaround implementation, infrastructure hardening, certificate renewal management, backup and disaster recovery operations, as well as internal and external audit activities.
The ideal candidate should possess strong technical troubleshooting skills, operational discipline, scripting and automation capability, customer engagement skills, and the ability to work effectively in both on-premises and hybrid cloud infrastructure environments.
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Translate complex business requirements into scalable Workday configurations, processes, reports and controls.
Govern the full solution lifecycle, including design, configuration, testing, UAT, release management, deployment, documentation and hypercare.
Ensure the reliable delivery of critical People processes such as employee lifecycle management, compensation cycles, talent processes, reporting and organisational changes.
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You will have proven experience managing the full delivery lifecycle, including change request prioritization, backlog management, capacity planning, sprint planning, vendor coordination, testing, release management, deployment and post-production support.
You will have experience governing financial systems controls and audit requirements, including SOX controls, change management, release management, access or process controls, internal and external audit requests, and production incident governance.
You will have a track record of leading and developing internal and external teams, managing vendor relationships and budgets, and building trusted relationships with Finance, Procurement, Technology and other senior stakeholders.
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Effectively develop sales strategy and to manage client portfolios with the aim of sustaining and expanding the business through efficient account management.
Grow market share and successfully develop new critical accounts.
Develop sales strategy, prepare action plans and effectively manage sales leads and prospects.
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Quantify the value: maximum demand shaving, peak-period energy shifting, solar self-consumption uplift, backup and power quality — and own the savings model behind every proposal.
Work with engineering on sizing, site layout, safety and compliance, grid interconnection and the relevant utility and Energy Commission approvals.
Structure both outright and as-a-service offers, and work with Finance to test each one for returns and debt service cover before it reaches the customer.
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Help align the design system with company goals by improving efficiency, consistency, and scalability across product teams and brands
Participate in conversations and workshops with stakeholders, users, and contributors to ensure system scalability and strong relationships
Explore and apply AI-assisted development workflows to help the team work more effectively, improve quality, strengthen documentation, and create a better developer experience
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Help align the design system with company goals by improving efficiency, consistency, and scalability across product teams and brands
Participate in conversations and workshops with stakeholders, users, and contributors to ensure system scalability and strong relationships
Explore and apply AI-assisted development workflows to help the team work more effectively, improve quality, strengthen documentation, and create a better developer experience
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Quality Assurance: Conduct thorough testing of the WMS software to ensure proper functionality and adherence to client requirements. Identify, troubleshoot and resolve any issues that may arise during the implementation process.
Deployment Assistance and Patch Management: Assist in deploying patches in the SIT/UAT/Production environment as necessary, ensuring smooth and successful implementation.
User Training and Support: Provide training to end-users on how to effectively use the WMS software. Offer ongoing support and address any user questions or concerns during and after the implementation phase.
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You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.
The ideal candidate has deep hands-on experience with Claude/Anthropic models, agentic architectures, tool-use, multi-step reasoning, autonomous execution loops, and AI-driven self-optimization.
You should be comfortable asking: "How can we make the system improve itself rather than requiring an engineer to manually optimize every workflow?"
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You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.
The ideal candidate has deep hands-on experience with Claude/Anthropic models, agentic architectures, tool-use, multi-step reasoning, autonomous execution loops, and AI-driven self-optimization.
You should be comfortable asking: "How can we make the system improve itself rather than requiring an engineer to manually optimize every workflow?"
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Full Stack EngineeringFrontend: React, Next.js, TypeScript, modern component architectures, state management, real-time and streaming AI interfaces, agent activity and execution interfaces, data visualization.Backend: Node.js, TypeScript, Python, REST APIs, GraphQL, WebSockets and streaming, event-driven architectures, background workers, job queues, distributed systems, authentication and authorization.
Distributed SystemsDesign systems that reliably execute thousands or millions of AI and data-processing tasks. Kubernetes, Docker, Cloud Run and serverless, message queues, Redis, Kafka or equivalent, distributed job processing, concurrency management, rate limiting, retries, idempotency, fault tolerance, observability. You know how to build systems that stay reliable when agents fail, APIs time out, models hallucinate, or downstream services go away.
Data & Learning InfrastructureBuild the infrastructure agents need to learn from historical executions. PostgreSQL, BigQuery or equivalent data warehouses, ClickHouse or analytical databases, vector databases, embeddings, retrieval systems, event logs, feature stores, analytics pipelines, data ingestion.
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You will work across the entire stack — from frontend experiences and APIs to distributed systems, data infrastructure, LLM orchestration, agentic workflows, evaluation systems, and autonomous optimization loops.
The ideal candidate has deep hands-on experience with Claude/Anthropic models, agentic architectures, tool-use, multi-step reasoning, autonomous execution loops, and AI-driven self-optimization.
You should be comfortable asking: "How can we make the system improve itself rather than requiring an engineer to manually optimize every workflow?"
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Perform root-cause analysis on recurring issues and implement preventative measures.
Administer and maintain Linux and Windows server environments supporting trading operations.
Manage trading platform configurations, server-side settings, plugins, bridges, and integrations in coordination with the Trading SysOps function to ensure stable, secure, and performant trading operations.
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