Role Description Platform Engineers at KUNGFU.AI work alongside Machine Learning Engineers and Data Scientists on client project teams to design architecture, build infrastructure, and establish frameworks that enable rapid, production-grade iteration. This is an embedded, collaborative role grounded in seamless teamwork — not a siloed advisory function. As a Platform Engineer, you shape how KUNGFU.AI approaches infrastructure as a discipline. You design cross-project platform standards, reference architectures, and reusable patterns that accelerate every engagement. You lead select client projects — building trusted relationships with clients and owning infrastructure strategy with minimal Director of Engineering support. You also begin working cross-functionally with business development, strategy, and marketing teams, contributing to SOW development and advising on feasibility as roadmaps take shape. Your influence extends beyond your own projects to the broader engineering organization. Here's what you'll be doing: - Design and maintain reference architectures, templates, starter kits, and golden paths that standardize infrastructure patterns across client engagements - Lead select client projects, including building trusted client relationships and owning infrastructure delivery with light DoE support - Drive code quality and infrastructure standards across project teams — through code review, pairing, and establishing conventions - Evaluate and rapidly adopt emerging cloud services, infrastructure tooling, and deployment patterns, recommending adoption where they benefit the team - Contribute to SOW development by scoping infrastructure effort, identifying risks, and defining technical approach for proposals - Work with strategy teams to advise on feasibility and help scope engineering efforts on roadmaps as they are being developed - Coordinate cross-functionally with BD, marketing, and strategy teams on infrastructure-related topics - Navigate ambiguity in client environments — where requirements are unclear, constraints are evolving, and the "right" architecture isn't obvious - Drive long-term strategic thinking about infrastructure patterns, tooling choices, and platform maturity for the engineering organization - Mentor junior and senior engineers on both technical and non-technical dimensions Qualifications - Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience) - Expert-level proficiency in AWS; working proficiency in Azure - Expert-level experience with Infrastructure as Code (Terraform and/or AWS CDK) across complex, multi-environment deployments - Deep experience designing and operating containerized systems at scale (Docker, ECS/Fargate, EKS/Kubernetes) - Experience designing CI/CD strategies for multi-project or multi-team environments - Strong understanding of security, networking, and compliance across cloud environments - Experience with ML workflow infrastructure — model serving, inference servers (e.g., Triton, vLLM, TGI, TorchServe), training pipelines, data pipeline tooling — in collaboration with ML practitioners - Experience deploying and managing LLM-based applications in production (RAG pipelines, API orchestration, vector stores, prompt management) - Experience provisioning and managing GPU-accelerated compute environments, including instance selection, driver/runtime configuration, scaling strategies, and cost optimization - Demonstrated ability to define reusable infrastructure patterns and standards adopted across teams or projects - Experience leading technical delivery on client projects or engagements - Experience contributing to proposals, SOWs, or scoping exercises - Strong client relationship and communication skills - Experience mentoring engineers at multiple levels Benefits - This is a full-time position that is remote. - Compensation includes competitive salary, company stock grant, top (‘gold’) level of health, dental and vision insurance (KUNGFU.AI covers 100% of your premiums and 50% for any dependents) - Health and dependent flexible spending accounts - Short- and long-term disability insurance - Unlimited vacation (that you're encouraged to take) - Paid parental leave - And more.

Role Description We are seeking an Intermediate Dynamics 365 Developer to join our growing Microsoft Business Applications practice. This role is ideal for a developer with experience building solutions on the Microsoft Power Platform and Dynamics 365 who is looking to further develop their technical and consulting skills while working on enterprise client projects. In partnership with Deel recruitment platform, we are looking for an independent contractor in Latin America to join the team remotely. Candidates must be able to work in EST or CST hours. The successful candidate will work alongside Solution Architects, Senior Developers, Functional Consultants, and Project Managers to deliver high-quality Dynamics 365 and Power Platform solutions. The role involves: - Hands-on development, customization, integration support, troubleshooting, and participation throughout the software delivery lifecycle. - Strong communication skills and the ability to collaborate effectively within distributed Agile teams are essential. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent practical experience. - 2–5 years of software development experience. - 2+ years of experience working with Dynamics 365 Customer Engagement and/or Microsoft Power Platform. - Hands-on experience with: - C# - .NET - JavaScript - Dataverse - Power Automate - Model-Driven Apps - Understanding of Dynamics 365 customization and configuration concepts. - Experience working with source control and development lifecycle processes. - Experience working within Agile project teams. - Strong analytical and problem-solving skills. - Professional communication in English (written and verbal) is required for effective collaboration with clients and internal teams, with proficiency equivalent to an advanced (C1) level. Requirements - Dynamics 365 & Power Platform Development: - Configure and customize Dynamics 365 Customer Engagement applications including Sales, Customer Service, and related solutions. - Develop and support: - Plugins and custom workflow activities using C# and .NET - Client-side scripting using JavaScript and TypeScript - Dataverse customizations, business rules, and security configurations - Power Automate cloud flows and integrations - Model-Driven Apps and Power Platform solutions - Participate in solution deployments and environment management activities. - Troubleshoot and resolve application defects and production issues. - Follow established coding standards, development practices, and solution architecture guidelines. - Power Pages Development: - Develop and maintain Power Pages portals integrated with Dataverse and Dynamics 365. - Support: - Web templates and page configurations - Liquid templates - JavaScript customizations - Portal security and authentication configurations - Assist in improving portal performance, usability, and accessibility. - Azure Integration Support: - Participate in integration development using: - Azure Functions - Azure Logic Apps - Azure Service Bus - Azure Storage - REST APIs - Assist with troubleshooting and supporting integration solutions. - Follow established security and integration best practices. - Project Delivery & Collaboration: - Participate in Agile delivery teams and sprint activities. - Attend backlog grooming, sprint planning, daily standups, sprint reviews, and retrospectives. - Collaborate with: - Solution Architects - Functional Consultants - Project Managers - Senior Developers - Provide accurate effort estimates for assigned development tasks. - Maintain technical documentation and deployment notes. - Contribute to continuous improvement initiatives and reusable development assets. Benefits - The salary range for this role is $3,900 - $4,200 USD monthly, depending on years of comparable experience, skill set, and the unique value you bring. Transparency Statement - Qualified candidates will be asked to complete a Predictive Index survey as part of the application process. - Endeavour Solutions uses AI tools, such as Microsoft Copilot, to assist with administrative tasks like transcribing interview notes. These tools do not make hiring decisions. Company Description - Endeavor4 is an equal opportunity employer that does not discriminate against any employee or applicant based on race, ancestry, place of origin, colour, ethnic origin, citizenship, religion, gender identity, gender expression, creed, sex, sexual orientation, age, record of offences, marital status, family status or disability. - Endeavour is committed to a fair and inclusive work environment. - We will endeavor to accommodate the needs of qualified applicants in all parts of the hiring process.

• Drive architectural improvements to our internal ML training frameworks, including modularization and experiment tracking • Adapt and optimize existing fire hazard detection algorithms for new electrical environments and grid configurations • Build and maintain scalable data pipelines that process high-frequency sensor data and feed downstream systems • Develop dashboards and automated tooling to monitor models, identify drift, and own processes to ensure models continue to meet their performance expectations • Maintain a deep understanding of our stack, and collaborate across data science, product, and fire safety leadership to conceptualize and deliver improvements

• Own the platform services infrastructure • Build and optimize SDK generation systems • Collaborate on internal tooling and performance reliability • Develop and maintain cloud-based services • Ensure observability and operational health