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You will own product areas within the AI Stockbroking division, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and operations teams to launch features and iterate based on data and user feedback.
You will own product areas within the AI Stockbroking team, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and operations teams to launch features and iterate based on data and user feedback.
You will own product areas within the AI Stockbroking division, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and operations teams to launch features and iterate based on data and user feedback.
You will own product areas within AI Stockbroking, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and business teams to launch features and drive continuous product improvement.
You will own product areas within the AI Stockbroking division, defining product direction, roadmaps, and success metrics. You will collaborate with engineering, design, and operations teams to launch features and iterate based on data and user feedback.
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You will own product areas across financial services, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and operations teams to launch features and drive continuous product improvement.
You will own product areas within the AI Stockbroking division, defining product direction, user problems, and success metrics. You will collaborate with engineering, design, and business teams to launch features and iterate based on data and user feedback.
You will automate infrastructure creation using Terraform and AWS CloudFormation while managing the build and release cycle for customer projects. Additionally, you will provide operational support, maintain CI/CD pipelines, and migrate legacy infrastructure to the cloud.
You will own end-to-end data science projects, from technical discovery and solution design to implementation and production deployment on AWS. You will work directly with customers to evaluate technical approaches and guide them through complex AI and machine learning challenges.
Design, develop, and operate end-to-end applications within a modern data platform environment. Manage cloud infrastructure, containerized workloads, and automated deployment pipelines while ensuring system reliability and security.
The role involves managing, automating, and improving Microsoft Fabric and Power BI environments while ensuring platform security and scalability. You will design Azure cloud infrastructure using Infrastructure as Code and maintain CI/CD pipelines to support efficient data operations.
You will manage and operate the Apache Kafka backbone, Debezium data pipelines, and Kubernetes-based workloads. Additionally, you will act as a senior technical partner to drive design reviews and automate infrastructure management.
You will define the technical vision and architecture for AI/ML solutions while leading engineering teams to deploy scalable models into production. This role involves partnering with executive leadership and cross-functional teams to operationalize advanced models and ensure business outcomes.
The transportation engineer/designer will be involved in a variety of design projects including freeways, urban and rural roadways, and multi-use paths. They will work within a collaborative team environment to transform engineering challenges into effective solutions.
You will design, develop, and implement robust AI/ML pipelines while integrating Large Language Models and Generative AI into production environments. The role involves collaborating with data scientists and software engineers to optimize model performance and ensure scalable deployment across cloud platforms.
The Cloud Security Architect will define security standards for AWS-hosted applications and integrate security practices into the DevOps pipeline. They will collaborate with development teams to identify vulnerabilities and influence the corporate cloud security strategy.
You will own the end-to-end infrastructure layer for the data platform, including provisioning environments and managing CI/CD pipelines. Additionally, you will implement observability frameworks and ensure data security through robust access controls and cost governance.
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The Senior Sales Engineer will lead technical discussions, deliver product demonstrations, and provide pre-sales support to help customers implement cybersecurity solutions. They will also collaborate with account managers and partners to design architectures and respond to RFI/RFP requests.
Design, develop, and deploy advanced AI and Generative AI solutions for healthcare platforms while ensuring system integration and performance optimization. Collaborate with cross-functional teams to automate workflows and maintain compliance with healthcare industry regulations.
Design, develop, and maintain Amazon Connect solutions for voice and digital customer interactions. Collaborate with cross-functional teams to integrate CRM platforms and ensure system stability through production support.
You will design, develop, and integrate scalable Amazon Connect solutions to enhance customer contact experiences across voice and digital channels. Additionally, you will collaborate with cross-functional teams to troubleshoot production issues and ensure seamless integration with CRM and enterprise applications.
The Lead Software Engineer will design, develop, and maintain scalable web applications using Node.js, TypeScript, and React. They will collaborate with cross-functional teams to implement RESTful APIs, ensure high code quality, and optimize development workflows using AI tools.
The Solutions Engineer will act as a technical sales expert, assisting account managers with presentations, demos, and qualifying customer requirements. They are responsible for managing the technical sales process, leading proof of concepts, and providing consultative guidance to customers on security solutions.
You will design and build a Core User Platform from scratch, including identity and permission management. Additionally, you will integrate new APIs for external partners and support the solutions in a production environment.
Design, develop, and maintain automated tests for the Caseware IDEA Windows desktop application while improving the existing Ranorex-based framework. Collaborate with cross-functional teams to integrate automation into CI/CD workflows and perform manual testing when necessary.
The DevOps Engineer will maintain current infrastructure, manage servers, and ensure stable operation of services. They will also set up CI/CD pipelines, automate repetitive tasks, and provide support to developers with deployments.
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You will design and build integrations that connect GitLab agents with external tools like Slack and AI solutions. You will also take end-to-end ownership of complex features and collaborate with cross-functional teams to refine requirements and deliver high-quality improvements.
The Solution Architect will design and implement integration flows between the Onomi platform and enterprise ecosystems while acting as a technical bridge for customers. This role involves supporting presales activities, managing post-sales implementation, and providing feedback to product teams to drive continuous improvement.
The QA Engineer will contribute to the full lifecycle of quality by performing functional, regression, and end-to-end testing on a fintech platform. They will also manage defects, track QA KPIs, and integrate AI tools to streamline testing workflows.
The Team Lead will manage a small team of 3-5 engineers, focusing on technical decision-making and supporting the professional development of team members. They are responsible for ensuring the technical quality of the systems built and maintaining alignment with other teams to deliver value.
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