• Provides hands-on technical leadership for the backend systems that support Hunter’s AWS-based IoT consumer application. • Owns cloud architecture, leads the design, development, and implementation of AWS Lambda microservices, infrastructure as code, REST APIs consumed by mobile and web applications, event-driven services, database models, telemetry pipelines, and AWS IoT Core device communication. • Acts as a player-coach by contributing directly to production code while mentoring engineers, reviewing designs, guiding consultants, and helping establish scalable backend engineering practices. • Leads the technical design, implementation, and evolution of backend and cloud services for a scalable AWS-based IoT consumer application. • Owns backend architecture across APIs, service domains, data models, event-driven workflows, telemetry pipelines, AWS IoT Core integrations, and cloud/device communication patterns. • Designs, develops, deploys, and maintains Python-based AWS Lambda microservices, RESTful APIs, and backend services that connect mobile and web applications to cloud, device, scheduling, user, notification, reporting, and support functions. • Provides player-coach technical leadership to backend engineers, consultants, and cross-functional contributors through design reviews, code reviews, mentoring, implementation guidance, and hands-on development. • Defines and documents architecture patterns, API contracts, data flows, service boundaries, schema standards, integration patterns, and operational expectations. • Leads cross-functional technical alignment with firmware, mobile, QA, DevOps, Product, Security, and consultant teams to translate requirements into reliable backend, cloud, and device communication designs. • Designs and implements scalable AWS IoT Core and telemetry architectures, including secure device connectivity, MQTT communication, Device Shadows, command processing, device synchronization, event ingestion, and fleet-scale operational patterns. • Owns backend service logic, data models, and automation workflows that support irrigation scheduling, user preferences, environmental conditions, offline behavior, provisioning, notifications, firmware workflows, reporting, analytics, and AI/ML-supported recommendations. • Ensures backend systems are production-ready through monitoring, alerting, structured logging, testing, CI/CD integration, deployment safety, incident response, root-cause analysis, and operational runbooks. • Implements secure backend and cloud practices, including authentication, authorization, access controls, data protection, secrets management, least-privilege permissions, and secure device communication. • Troubleshoots and resolves complex production and integration issues, ensuring high availability, data integrity, and minimal customer impact. • Leads technical planning for backend and cloud initiatives by translating product requirements, integration needs, and architectural goals into implementation plans, estimates, sequencing, and delivery milestones.

Role Description We are seeking an experienced Oracle Finance professional who can support end-to-end AP, Payments, Cash Management, and P2P processes in Oracle Fusion Cloud Financials. The role requires strong functional expertise with some exposure to techno-functional activities. Qualifications - 8+ years of experience in Oracle ERP environments - 2-3+ years of hands-on experience in Oracle Fusion Cloud Financials - Strong functional knowledge in: - Accounts Payable (AP) - Payments - Cash Management - Procure-to-Pay (P2P) cycle - Experience working in Oracle Cloud Finance modules - Ability to work in techno-functional capacity (supporting configurations, troubleshooting, and business processes) - Strong understanding of financial workflows and end-to-end accounting processes Requirements - Oracle Fusion Financials (AP, Payments, Cash Management) - Oracle ERP / Oracle Cloud Finance - P2P Process knowledge - Functional + Techno-functional exposure - Business process analysis and support Benefits - Compensation based on experience (Open - Market Standard) - Engagement: Full-time/Contract

Role Description We are seeking a highly skilled Senior Python Engineer to join our distributed engineering team. In this role, you will work closely with our client's internal squads to design, build, and optimize scalable cloud-based media solutions. This is a collaborative, embedded role requiring a self-starter who excels at solving complex workflow challenges, designing resilient integrations, and driving efficiency. The ideal candidate brings a strong software engineering foundation combined with deep domain knowledge in media supply chains and cloud infrastructure (AWS). - Design, develop, and maintain robust, scalable backend services and APIs using Python and Django - Build and optimize media processing workflows, ensuring seamless handling of ingest, transcoding, packaging, and distribution - Architect and manage cloud services on AWS, ensuring high performance, security, and scalability - Design and optimize database schemas and queries using PostgreSQL - Work hand-in-hand with distributed client engineering squads, actively participating in stand-ups, architecture reviews, and collaborative problem-solving - Proactively identify performance bottlenecks and workflow challenges, implementing automation to streamline operations and reduce manual workloads Qualifications - Advanced, production-level experience building backend applications - Strong hands-on experience leveraging AWS cloud infrastructure for application deployment and data storage - Solid experience with relational database design, query optimization, and performance tuning - Solid, demonstrable experience working within media environments - Strong understanding of media processing workflows (handling audio, video, captions, and images) along with ingestion and transcoding processes - Proven ability to work seamlessly in fully remote or distributed team models, collaborating directly with client engineers across different time zones - A proactive approach to taking initiative, resolving complex technical challenges, and delivering high-quality code with minimal supervision Requirements - Direct, practical experience implementing, operating, or configuring SDVI solutions within a media supply chain is a significant plus - Deeper subject matter expertise in modern media technologies, including recent SDVI features (such as AI-driven workflows), onboarding new partners, or supporting large-scale media ingestion

Role Description We are searching for a Lead Cloud Engineer to become part of our team. In this position, you will help shape and grow secure, scalable cloud environments that power enterprise-grade programs. You will partner with cross-functional teams to put modern infrastructure practices into action while pushing forward security, automation, and AI-driven engineering approaches. - Roll out HashiCorp Boundary controllers, workers, and the related access model to enable secure infrastructure access. - Create and maintain Terraform and Terragrunt infrastructure for reliable infrastructure-as-code delivery. - Set up AWS and Azure networking to provide secure connectivity across the platform. - Deliver integration with Microsoft Entra ID and Active Directory for enterprise identity management. - Contribute to CI/CD automation initiatives and support enhancements to operational tooling. - Strengthen DevSecOps, security, and compliance practices throughout the environment. - Capture implementation patterns and operational procedures in documentation to enable knowledge sharing. - Advocate for AI-assisted engineering practices across development and operational tasks. Qualifications - No fewer than 5 years of hands-on professional experience in cloud engineering. - Strong applied background in Infrastructure as Code delivery. - Practical use of Terraform and Terragrunt for automating infrastructure. - Working knowledge of AWS Networking, including Cloud WAN, Transit Gateway, and Network Firewall. - Hands-on background in Azure Networking for enterprise-scale connectivity. - Applied experience with HashiCorp Boundary or similar enterprise access platforms. - Practical familiarity with Microsoft Entra ID and Active Directory for identity management. - Confident use of Python for automation and tooling activities. - Working command of Linux operating systems and Docker for containerised workloads. - Track record with DevSecOps practices, including SAST, SCA, and Secrets Management. - Solid experience in CI/CD automation for build, test, and deployment pipelines. - Strong technical leadership abilities together with a proven capacity to mentor fellow engineers. - Ownership-driven mindset paired with a collaborative approach to teamwork. - Daily use of Claude Code and/or GitHub Copilot for AI-assisted development. - Grasp of AI-assisted software development principles. - Familiarity with prompt engineering and LLM fundamentals. - Applied experience integrating AI into engineering workflows. - Confident English communication at B2 level or higher, both written and spoken. Requirements - Background with Microsoft Entra ID OIDC integration for federated authentication. - Awareness of ExpressRoute for private network connectivity to Azure. - Practical exposure to Enterprise PAM or Zero Trust platforms for privileged access management. - Hands-on experience with GitHub Actions for CI/CD workflows. - Familiarity with MCP servers and AI automation tooling for advanced AI-enabled workflows.