Lead the mobile and backend quality strategy by driving a native-first testing approach and fostering a culture of developer-owned quality. Oversee AI adoption in testing workflows and mentor senior engineers to improve overall domain quality metrics.
InPost
29 Remote Job Openings at InPost
Lead the native-first testing strategy for iOS and Android apps while fostering a culture of developer-owned quality. Oversee AI adoption in quality engineering and mentor senior engineers to improve overall domain quality metrics.
The role focuses on ensuring group-wide HR data consistency, reporting, and alignment across systems like SAP SuccessFactors. It involves collaborating with HR controllers and stakeholders to design data processes and monitoring solutions.
Own the end-to-end product lifecycle for Merchant Services, from strategy and roadmap to delivery and iteration. Lead cross-functional teams to build scalable products that improve merchant experiences and drive business growth.
Design and implement high-performance microservices and event-driven integrations using Java and Kafka. Take end-to-end ownership of features, from technical design and documentation to production deployment and stakeholder alignment.
Design and implement high-performance microservices and event-driven integrations using Java and Kafka. Take end-to-end ownership of features, from technical design and stakeholder alignment to production deployment.
Own the end-to-end product lifecycle for Merchant Services, from strategy and roadmap to delivery and iteration. Lead cross-functional teams to build scalable products that improve merchant experiences and drive business growth.
Design and implement high-performance microservices and event-driven integrations using Java and Kafka. Take end-to-end ownership of features from requirements to production while mentoring team members and collaborating with stakeholders.
Design and implement high-performance microservices and event-driven integrations using Java and Kafka. Take end-to-end ownership of features from requirements to production while mentoring team members and collaborating with stakeholders.
Design, implement, and test high-performance microservices while maintaining technical documentation and system designs. Advocate for engineering quality and mentor team members within an Agile environment.
Design and implement high-performance microservices and event-driven integrations using Java and Kafka. Take end-to-end ownership of features, from technical design and stakeholder alignment to production deployment.
Build and lead a new engineering team to develop a strategic CRM capability for international expansion. Own the full platform lifecycle from scoping and architecture to delivery and continuous improvement.
Deliver high-quality data insights and Power BI dashboards to support data-driven product and operational decisions. Identify trends and anomalies to optimize business processes and support the development of strategic business cases.
Deliver high-quality data insights and Power BI dashboards to support data-driven product and operational decisions. Identify trends and anomalies in datasets to optimize business processes and support strategic business cases.
Deliver high-quality data insights and Power BI dashboards to support data-driven product and operational decisions. Coordinate between data and business teams to optimize processes and support strategic business cases.
The role focuses on ensuring group-wide HR data consistency, reporting, and alignment across systems like SAP SuccessFactors. It involves collaborating with HR controllers and stakeholders to design data processes and monitoring solutions.
Own the end-to-end product lifecycle for Merchant Services, from strategy and roadmap to delivery and iteration. Lead cross-functional teams to build AI-enhanced products that improve merchant experiences and drive scalable business growth.
Integrate Generative AI and Large Language Models into web applications through scalable API design and microservices. Develop robust Python back-end systems and data pipelines while managing cloud infrastructure and containerization.
Integrate Generative AI and LLMs into web applications through secure API design and scalable microservices. Develop robust Python back-end systems and data pipelines while managing cloud infrastructure using Kubernetes and Docker.
Oversee and develop the Widget & BasketApp team by mentoring engineers and fostering a high-performance environment. Drive the product roadmap execution while providing technical leadership in architecture, security, and engineering excellence.
Integrate Generative AI and LLMs into web applications through secure API design and scalable microservices. Develop robust Python back-end systems and data pipelines while managing cloud infrastructure using Kubernetes and Docker.
The AI Engineer will integrate Generative AI models and LLMs into web applications using efficient API design and scalable microservices. They will also manage cloud infrastructure, maintain data pipelines, and implement CI/CD processes to ensure high-performing AI deployments.
The AI Engineer will integrate Generative AI models and Large Language Models into web applications through efficient API design and microservices. They are also responsible for building robust back-end systems, maintaining data pipelines, and managing scalable cloud infrastructure.
The role involves integrating Large Language Models (LLMs) and other Generative AI models into web applications through efficient API design and development. Key tasks include building robust Python back-end systems, maintaining data pipelines, and deploying AI applications using containerization technologies.
The AI Engineer will integrate Generative AI models into web applications and develop both front-end and back-end systems to support these integrations. Responsibilities also include building APIs, maintaining data pipelines, and ensuring scalable deployment of AI applications.
The AI Engineer will integrate Generative AI models into web applications and develop both front-end and back-end systems to support these integrations. Responsibilities also include building APIs, maintaining data pipelines, and ensuring scalable deployment of AI applications.
The AI Engineer will integrate Generative AI models into web applications and develop both front-end and back-end systems to support AI functionalities. This role involves building APIs, optimizing microservices, and maintaining cloud infrastructure for scalable AI solutions.
Integrate Generative AI models into web applications and develop APIs for seamless interaction. Design and maintain both front-end and back-end systems to support AI functionalities.
Integrate Generative AI models into web applications and develop APIs for seamless interaction. Design and maintain both front-end and back-end systems to support AI model deployment and user experience.
