• Design, deploy, and operate workloads on Azure Kubernetes Service (AKS) to meet security, resilience, and performance goals • Lead AKS bootstrapping, cluster/node/pod configuration, and operational support activities • Build automated deployment templates for customers to provision AKS instances • Implement and maintain CI/CD and GitHub build/release pipelines for Dev, Stage, and Production environments • Configure autoscaling (Horizontal Pod Autoscaler, Cluster Autoscaler) and integrate Azure Container Instance (ACI) where appropriate • Implement Pod security policies, node-to-node encryption, and enforce NIST-aligned security controls when deploying container images • Integrate AKS logs (application, event, cluster, user activity, diagnostics) into Azure Event Hub or Storage and enable real-time monitoring • Manage authentication and authorization for cluster access using managed identities, service principals, certificates, and secrets • Deploy and manage HTTPS Ingress controllers and TLS certificate management for Kubernetes services • Use governance and scanning tools to monitor images, runtime, vulnerabilities, registries, and hosts

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. Job Title Senior AI Platform Engineer Location Remote Time Zone Flexible / Aligned to HQ Time Zone Role Overview This role sits at the intersection of AI engineering and platform development. As a Senior AI Platform Engineer, you will own the contextual intelligence layer that powers our AI agents — ensuring they understand, reason, and act with precision across our SaaS ecosystem. You will work at the cutting edge of how structured knowledge is used to make AI agents smarter and more reliable. This is a role for an engineer who thinks deeply about context, meaning, and how machines can be equipped to make better decisions — and who can also build the frontend surfaces that make those capabilities accessible to end users. Key Responsibilities - Design and maintain semantic context layers — knowledge graphs, ontologies, and structured context stores — that inform agent behaviour - Develop full stack features that allow users to configure, monitor, and control AI agents through intuitive interfaces - Integrate RPA agents with semantic reasoning capabilities, enabling context-aware automation at scale - Build and maintain data platform frontends that provide real-time visibility into agent activity and data flows - Work closely with product and data science teams to translate business requirements into intelligent automation solutions - Champion engineering quality through testing, documentation, and architectural consistency Required Qualifications - Senior-level full stack engineering experience - Deep understanding of semantic technologies — knowledge graphs, RDF/OWL, ontologies, or entity resolution - Hands-on experience building or consuming AI agent frameworks - Strong frontend skills with React or similar, including data visualisation libraries such as D3.js or Recharts - Experience with Python-based backends and ML service integration - Comfort working in fast-moving SaaS product environments - Must have prior remote work experience and demonstrated ability to collaborate asynchronously across distributed teams Preferred Qualifications - Experience with graph databases such as Neo4j or Amazon Neptune - Exposure to NLP pipelines and named entity recognition (NER) - Contributions to open-source AI or semantic tooling - Experience with enterprise-scale knowledge management systems Tools & Technology - Python / Node.js - React / TypeScript - Graph or semantic databases (Neo4j, Amazon Neptune, or similar) - LLM APIs and agent orchestration frameworks - Data visualisation tooling (D3.js, Recharts, or similar) - Slack, Zoom, Google Workspace Please Note It is crucial that you complete the application form in full. As part of the application process, you will be required to complete a short technical assessment. If your application is successful, you will receive an email confirming next steps. Applications that are not completed in full will not be considered for any open roles. We connect top talent with vetted employers, competitive pay, and real growth opportunities.

We provide technology that community financial institutions use to manage risk and drive growth. Our solutions automate key processes – from anti-money laundering to fraud detection to CECL readiness to lending workflows – empowering our customers by addressing their Enterprise Risk Management needs. Abrigo is looking for an experienced Product Builder to join our team and manage our third-party integrations for our fraud prevention & financial crimes products. As a Product Builder, you will be responsible for understanding the market and customer needs, developing product strategies, creating product roadmaps, and delivering successful products to market. You will work closely with cross-functional teams such as Engineering, Operations, Marketing, and Sales to ensure the product meets the needs of the organization and its customers. As a role within a high-growth company, the range of initiatives is dynamic and will provide exposure to multiple areas of the company. This role will report to the Director, Product Management. This position will be located at our office in Raleigh, NC, Austin, TX, or remote. We are specifically looking for a product leader with experience in the payments ecosystem who is excited to build modern, API-driven platforms and bring an AI-first mindset to fraud and financial crimes. What You’ll Do: - Own the product strategy and roadmap for Abrigo’s third-party integrations platform supporting fraud prevention and financial crimes solutions - Define and evolve API-first capabilities, partner integrations, and data exchange frameworks that enable seamless connectivity across payment rails (e.g., ACH, wires, RTP/FedNow), online banking, core systems, and fintech partners - Conduct market and customer research to identify integration opportunities, emerging fraud trends, and ecosystem gaps - Partner with Engineering to design scalable, secure, and extensible integration architectures (APIs, webhooks, event-driven systems) - Champion an AI-first approach to product development, identifying opportunities to improve integration workflows and fraud prevention capabilities - Work cross-functionally to gather requirements, prioritize features, and define user stories with a focus on developer and partner experience - Drive product delivery across the lifecycle, from concept through launch, adoption, and ongoing optimization - Ensure the product meets regulatory requirements and compliance standards related to fraud prevention - Build and manage relationships with payment networks, fintech partners, and third-party providers, driving a scalable and strategic integration ecosystem - Collaborate with Sales and Marketing to define integration-led GTM strategies, partner positioning, and competitive differentiation - Define and track KPIs such as API adoption, partner activation, transaction volume, integration reliability, and fraud decision performance - Communicate roadmap progress, integration capabilities, and strategic direction to internal stakeholders and leadership What You’ll Need: - Bachelor's or Master's degree in Business, Engineering, Computer Science or related field or equivalent years of experience - 5+ years of product management experience, with preference for fraud, financial crimes, or fintech platforms - Proven experience building or managing API-first platforms, integrations, or developer-facing products - Experience in the payments ecosystem (e.g., ACH, wires, RTP, FedNow, processors, or payment fintechs) - Strong understanding of modern fraud prevention concepts, payment flows, and financial services infrastructure - Experience collaborating with third-party partners, vendors, or developer platforms - Demonstrated AI-first mindset with the ability to identify and apply AI/ML opportunities within product experiences, workflows, or decisioning systems - Entrepreneurial mindset with a keen sense of ownership, curiosity, and drive to build and scale new capabilities - Excellent communication skills with the ability to influence Engineering, Sales, Marketing, and external partners - Data-driven mindset with experience using metrics to drive decisions and manage multiple initiatives simultaneously - Willingness to travel up to 30% What You’ll Get: - Market competitive total rewards package - To be part of the Heart & SOUL of a winning company with an inspiring mission - The opportunity to Make Big Things Happen and have a real impact on customers and the company - Competitive salary along with full health benefits with an HSA option - Flexible PTO and bank holidays - 401(k) plan and company match We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, age, genetic trait, sexual orientation, national origin, disability status, or any other characteristic protected by law. Abrigo is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at Careers@abrigo.com with the subject line accommodation.

• Architect and lead implementation of cloud‑native networking components across AWS/Azure environments • Work with CNI plugins, SR‑IOV • Define and implement network virtualization strategies using OVS, OVS‑DPDK, VMware NSX, or cloud‑native overlay networks • Work with SDN controllers to manage dynamic network provisioning, micro‑segmentation, and service mesh / policy automation • Lead performance benchmarking, network observability, packet tracing, and troubleshooting efforts across multi‑cloud environments • Collaborate with platform, SRE, DevOps, security, and application teams to ensure networking reliability, security, and scalability • Guide the adoption of CI/CD processes for cloud‑network infrastructure • Document architectures, design decisions, operational guides, and standards for cloud networking • Mentor a team of cloud/networking engineers and provide technical leadership during design reviews and incident analysis