95 English-speaking jobs in Gdynia

Lead AI engineer to design, deploy, and maintain AI agents and automation workflows. Experience with Azure, Kubernetes, Docker, and AI/ML frameworks required. Strong mentorship and communication skills needed.

Data Analyst will monitor market events, build relationships with market participants, perform quality control checks, and respond to client inquiries. Requires intermediate knowledge of financial markets (Debt), excellent communication skills, and experience sourcing and processing data. Proficiency in Excel is required.

Manages end-to-end feature/function specifications for new and existing FX products and services. Leads definition, planning, production, release, and lifecycle management. Drives product requirements for new workflow capabilities on FX platforms. Communicates requirements to various teams and partners. Requires product management experience in FX, with experience building execution capabilities for both sell-side and buy-side.

Senior Java Developer with 8+ years of experience sought for international client. Expertise in Java, Spring (Boot, Cloud, Data Flow), JSF, Struts, Microservices, Web services, SOA, REST API, and Azure Cloud required. Experience with Kafka, unit testing, integration testing, and test-driven development is essential. Familiarity with Application Lifecycle Management Tools (JIRA, Confluence, Jenkins, NexusPro) and agile frameworks (Scrum/Kanban, BDD/TDD, DevOps, Continuous Integration & Delivery) is also needed. Fluency in English is mandatory.

Experienced Transition Manager needed for a large-scale data center migration program within a finance department. Responsibilities include planning, coordinating, and driving complex transition and cutover activities across multiple application migrations. Must have proven experience as a senior project manager in complex IT transition or migration programs within the financial services sector.

Senior Java Full Stack Engineer to design, develop, and deploy innovative applications using Java, Spring, and React. Own the full development lifecycle, including architecture, development, and DevOps. Work remotely in an XP environment with pairing practices.

Experienced Backend Engineer to design and build event-driven solutions using Kafka and related technologies. Focus on stream processing applications, data pipelines, and ELK stack monitoring solutions. Requires 4+ years of experience with Kafka-based applications, Java and Spring, and the ELK stack.

Senior ML/AI Engineer will design, implement, and deploy GenAI/LLM-based solutions and data pipelines (Spark/Databricks) in production environments.

Senior Data Engineer to design, build, and maintain scalable ELT pipelines. Develop and optimize PL/SQL queries and Python scripts for data processing. Implement CI/CD pipelines and manage data infrastructure. Experience with cloud platforms, OLAP systems, and database management systems required.

Lead AI DevOps Engineer responsible for architecting, deploying, and scaling AI/ML/GenAI systems (LLMs/SLMs) in production Azure environments. Requires 5+ years of experience in DevOps/Cloud Engineering with proven hands-on experience deploying LLMs/SLMs in production. Strong Azure expertise, scripting (Python + Bash/PowerShell), IaC (Terraform/Ansible), and CI/CD pipelines are essential.

Senior AI DevOps Architect to lead architecture and deployment of AI/ML/GenAI systems (LLMs/SLMs) in production environments on Azure. Requires 5+ years in DevOps/Cloud Engineering with proven experience deploying LLMs/SLMs and strong Azure expertise.

Senior AI DevOps Engineer will architect, deploy, and scale AI/ML/GenAI systems, focusing on LLMs/SLMs in Azure cloud environments. Responsibilities include building and automating infrastructure, model lifecycle pipelines, and inference workflows. Requires 5+ years of experience in DevOps/Cloud Engineering with proven experience deploying LLMs/SLMs in production and strong Azure expertise.

Senior AI DevOps Engineer to architect, deploy, and scale AI/ML/GenAI systems, focusing on LLM/SLM deployment in Azure cloud environments. Requires 5+ years in DevOps/Cloud Engineering with proven experience in AI/ML/GenAI projects and strong Azure expertise.

Lead AI engineer to design, deploy, and maintain AI agents, automation workflows, and reliable AI systems. Strong MLOps, Azure, and Kubernetes experience required. Lead and mentor a small engineering team.

Manages major IT incidents, ensuring timely service restoration and minimal business disruption. Coordinates technical teams, guides incident resolution, and communicates with stakeholders.

Drive the architecture for the Front Office domain within Nordea's Markets & Traded Products service area. Collaborate with business and technology stakeholders to develop target and transition architectures. Guide and review high-level solution designs ensuring alignment with strategies, principles, and reference architectures. Provide functional leadership to delivery teams and act as a sparring partner on architecture, data modeling, integration patterns, API design, data solutions, and governance.

Customer Experience Agent will create tailor-made logistics solutions for customers, managing the shipment process and coordinating with global teams. Responsibilities include building customer relationships, ensuring smooth shipment execution, and identifying service risks. The ideal candidate has previous customer experience, preferably in freight forwarding or logistics, and strong communication and problem-solving skills.

Senior QA Engineer to design, create, and execute test cases for RESTful and SOAP APIs. Requires 5+ years of experience in software testing, Python programming, and PyTest framework.

Develop and maintain Java microservices for credit risk and scoring platforms. Design, implement, and test robust calculation engines. Collaborate with teams to translate business needs into technical solutions.

Senior AI DevOps Engineer will architect, deploy, and scale AI/ML/GenAI systems, focusing on LLM/SLM deployments in Azure cloud environments. Requires 5+ years of experience in DevOps/Cloud Engineering with proven experience deploying LLMs/SLMs in production and strong Azure expertise.