Role Description The Platform Engineer combines hands-on support responsibilities with strategic engineering to ensure the reliability, scalability, and continuous improvement of our enterprise platform infrastructure. This role will join our Platform Product team who are responsible for designing, managing, and optimizing core platform services that underpin critical business operations, including technologies such as Active Directory, MECM, SolarWinds, Virtual Desktop Infrastructure (VDI), and User Access Devices (UADs), alongside broader networking, compute, storage, virtualization, and hyper-converged infrastructures. The role also provides monitoring, troubleshooting, and escalation support to maintain system stability, resolve incidents efficiently, and ensure a high level of user satisfaction. In parallel, it emphasizes automation, performance optimization, and proactive enhancement of platform services to reduce manual effort, improve operational efficiency, and enable scalable, resilient infrastructure. Prolinx operates within an Agile Scrum methodology, focusing on collaboration and rapid delivery. The Platform Engineer will actively participate in bi-weekly sprint review/planning, daily stand-ups, and retrospectives to iterate on product features and improve our processes. Prolinx engineering teams are self-organizing and cross-functional, utilizing tools like Jira to manage the backlog and ensure high-quality, incremental releases. Qualifications - Demonstrable experience in platform engineering, infrastructure support, or a similar role within enterprise environments. - Experience with virtualization platforms such as Nutanix, VMware, Citrix, or Hyper-V. - Understanding of networking concepts (e.g., DNS, DHCP, VLANs, firewalls, switching), compute/storage systems, and virtualization platforms. - Experience with IT monitoring tools, incident management processes, and performance tuning, including capacity planning. - Familiarity with endpoint management and User Access Device (UAD) ecosystems in enterprise environments. - Awareness of Software Defined Data Centre technologies and Hyper Converged Infrastructures (HCI). - Strong problem-solving skills with a focus on effective resolution and root cause analysis. - Excellent communication and collaboration skills, with the ability to work across technical teams and support non-technical stakeholders. - Detail-oriented with the ability to manage, document, and track complex systems, incidents, and processes effectively. - Proactive and adaptable mindset, with a commitment to continuous learning and staying current with emerging technologies and automation practices. - Commitment to ongoing professional development in platform technologies and support methodologies. Requirements - Adhere to Prolinx engineering principles and standards, ensuring all practices align with Prolinx Security Policies and Secure by Design principles. - Design, implement, manage, and support the enterprise platform infrastructure, including servers, networks, storage, and technologies such as Active Directory, MECM, SolarWinds, and VDI environments. - Monitor platform performance and availability, proactively responding to alerts, incidents, and service degradation to meet business requirements and SLAs. - Troubleshoot and resolve platform-related issues, performing root cause analysis and escalating where necessary to ensure timely resolution and prevent recurrence. - Automate infrastructure provisioning, monitoring, patching, and deployment processes using tools such as PowerShell, Python, Ansible, or Terraform to improve efficiency and reduce manual effort. - Administer system updates, patch management, and maintenance activities to ensure platform security, compliance, and stability. - Collaborate with cross-functional teams to support User Access Devices (UADs), endpoint management, and virtualized environments. - Develop and maintain comprehensive documentation, including runbooks, troubleshooting guides, knowledge base articles, and architecture diagrams. - Support capacity planning and performance optimization through analysis of system usage, trends, and metrics. - Evaluate and recommend improvements to tools, technologies, and processes to enhance platform reliability and operational efficiency. - Provide technical guidance and contribute to platform-related projects, acting as a subject matter expert where required. - Optional participation in a bounty-based team on-call pager system for response to out-of-hours incidents, minimizing any downtime or disruption to services. Company Description Prolinx does not discriminate on the basis of race, religion, colour, sex, age, disability, or sexual orientation. All recruitment decisions are based solely on qualifications, skills, knowledge, and experience and relevant business requirements. The Job Holder will understand the regulatory, fair trading, and competition rules relating to their work sufficiently to be able to comply with them, relying on their knowledge or on their ability to recognize that they will need specialist support. The Job Holder will actively support at all times company policy and best practice in the area of security, with particular emphasis on the protection of sensitive customer information. This includes the Security requirements of our customers.

Role Description We are looking for a skilled GoHighLevel (GHL) Platform Expert to join our growing team. In this role, you will be the go-to resource for onboarding new clients, designing and maintaining automation, and ensuring our customers get maximum value from the platform. You will work closely with internal teams and clients alike, translating business goals into GHL workflows while keeping a pulse on the latest platform updates and turning new features into opportunities for our clients. Essential Duties and Responsibilities - Own the end-to-end onboarding process for new clients, managing daily onboarding tasks and ensuring a smooth, consistent experience. - Serve as a primary point of contact for clients during onboarding, providing responsive and professional support. - Partner with clients to understand their business requirements and translate them into effective GHL configurations and workflows. - Develop and maintain self-service job aids, SOPs, training guides, and video walk-throughs so clients can support themselves confidently. - Build, test, and maintain GHL automations including workflows, pipelines, triggers, and integrations with third-party tools. - Audit existing automation setups and proactively recommend improvements for efficiency and reliability. - Troubleshoot platform issues and work with clients and internal teams to resolve them quickly. - Collaborate with sales, marketing, and operations teams to understand business objectives and align GHL capabilities to strategic goals. - Translate technical platform capabilities into plain-language benefits for non-technical stakeholders. - Contribute to internal documentation and knowledge bases to elevate team-wide GHL expertise. - Stay current on all GHL product releases, beta features, and platform announcements. - Proactively identify how new GHL features can benefit existing and prospective clients, and present actionable ideas to the team. - Champion best practices and continuously evolve internal processes as the platform grows. Qualifications - 3–5 years of hands-on experience with GoHighLevel, including sub-account management, workflow automation, funnels, CRM pipelines, and reporting. - Strong customer-facing communication skills - you can simplify complex technical concepts for any audience. - Experience creating training materials, job aids, or knowledge-base content for end users. - Proven ability to gather business requirements and configure platform solutions that meet defined goals. - Self-starter who thrives in a remote environment and can manage multiple onboarding projects simultaneously. Knowledge, Skills and Abilities - Experience in a digital marketing agency or SaaS environment using GHL for client management. - Familiarity with the full suite of GHL features: SMS/email marketing, reputation management, social planner, memberships, invoicing, and AI features. - Experience with Zapier, Make (Integromat), or direct API integrations alongside GHL. - Comfortable with basic HTML/CSS for email and funnel customization. Company Description Warp Speed Holdings is a growing holding company that invests in and supports a diverse portfolio of start-ups, early-stage ventures, and established businesses. In addition to providing capital, the company delivers hands-on operational support across key areas such as finance, accounting, human resources, technology, compliance, and other essential back-office functions. By combining investment resources with experienced operational leadership, Warp Speed Holdings helps its portfolio companies build strong foundations and scale efficiently. True to its name, the organization is known for moving quickly, making strategic decisions, and driving sustainable growth across the companies it supports.

• Implement enhancements to the software delivery lifecycle that reduce friction for product engineering teams • Build and maintain standardized CI/CD pipelines and developer workflows based on defined architecture • Support the adoption of ephemeral environments and streamlined local development tooling • Drive automation across build, test, and deployment workflows • Implement and maintain automated testing frameworks and infrastructure aligned with shift-left quality goals • Enable teams to integrate component and end-to-end testing into their workflows • Integrate AI-based tools and workflows into the developer experience as defined by platform strategy • Build and enhance core components of the developer platform with a focus on stability and usability • Contribute to identifying and resolving bottlenecks in developer workflows and platform performance

Role Description As a Sr. Software Engineer – AI Platform, you will be a hands-on engineer responsible for building and operating the cloud and DevOps foundations of WEX’s AI platform. You will own CI/CD workflows, GitOps practices, and infrastructure automation across AWS and Azure, while also contributing to Agentic AI Platform services and tools that power AI workloads. You will work closely with other AI platform engineers, product teams, and data/ML engineers to ensure that AI-native applications are secure, observable, and easy to deploy and operate at scale. How You'll Make an Impact: - Design, implement, and maintain cloud-native infrastructure for AI and LLM-based applications on AWS and Azure, including networking, compute, IAM, and observability. - Build and manage CI/CD and GitOps workflows using tools such as Fabric, Argo CD, and related DevOps tooling to enable reliable, automated deployments. - Develop production-grade services, utilities, and platform components in Python, including APIs, and automation scripts that support AI workloads. - Implement and maintain Infrastructure-as-Code (IaC) for repeatable environments and services (e.g., Terraform, CloudFormation, or similar tools). - Collaborate with AI/ML engineers and product engineering teams to integrate LLMs and agentic AI capabilities into WEX’s products using secure, scalable patterns. - Operate as a system administrator-level engineer for key cloud services (logging, monitoring, secrets, container orchestration, storage, and security controls). - Champion AI-native development practices by using and promoting tools such as Cursor, GitHub Copilot, and other AI-assisted IDEs to increase velocity and code quality. - Contribute to and refine platform standards for security, compliance, observability, and resiliency across AI services and pipelines. - Participate in on-call rotations and incident response for AI platform components, driving root-cause analysis and continuous improvement. Qualifications - 7+ years of professional software engineering or DevOps/SRE experience, with at least 3+ years working in cloud-native, production environments. - Strong experience with DevOps and GitOps practices, including CI/CD pipelines, automated testing, and environment promotion workflows. - Hands-on experience with Fabric and Argo CD (or similar GitOps tools) for deployment automation and environment management. - Deep, system-administrator-level experience with AWS (preferred) and practical experience with Azure services (compute, networking, IAM, logging, containers). - Proficiency in Python, including writing robust, maintainable code for services, tools, and automation, and comfort with standard Python development workflows. - Familiarity with containerization and orchestration (Docker, Kubernetes, ECS, AKS, or similar). - Experience using AI-native development tools (e.g., Cursor, GitHub Copilot, or similar AI-assisted IDEs) as part of your everyday engineering workflow. - Solid understanding of monitoring, logging, and alerting practices and tools (e.g., CloudWatch, Prometheus, Grafana, Datadog, or similar). - Demonstrated ability to work in agile, collaborative, high-trust engineering teams and to partner effectively with cross-functional stakeholders. - Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience. Requirements - Experience supporting LLM/agentic AI workloads in production (e.g., prompt orchestration, model gateways, vector stores, RAG systems). - Background in financial systems, data compliance, or regulated industries (payments, healthcare, etc.). - Exposure to Terraform or other IaC tools for multi-cloud environments. - Experience building or operating multi-tenant platforms and shared services. - Create, operate, and manage MCP tools and MCP gateways to securely connect AI agents to external systems, enforce governance, and centralize tool access and observability. Benefits - Health, dental, and vision insurances. - Retirement savings plan. - Paid time off. - Health savings account. - Flexible spending accounts. - Life insurance. - Disability insurance. - Tuition reimbursement. - Quarterly or annual bonus based on role and applicable plan. Company Description At WEX, we’re transforming how businesses operate by embedding advanced AI into our global payments and mobility platforms. The AI Platform Engineering team enables product development groups across WEX to build, deploy, and scale AI-powered experiences quickly and safely. We’re cloud-first, automation-driven, and focused on building reliable, secure, and scalable platforms that make AI a core part of our products. Join us to help evolve the AI platform that powers intelligent systems for how enterprises move money, manage fleets, and make decisions.