107 English-speaking jobs in Podlaskie Voivodeship

As an Infrastructure Architect, you will design and implement cloud, on-premise, and hybrid architectural solutions for customers. You will create prototypes, analyze requirements, and propose solutions while collaborating with internal teams and customers. Proficiency in at least 3 of the following is required: public cloud (Azure, AWS, or GCP), Windows/Linux, network solutions, virtualization platforms, VDI, Microsoft Entra ID, Microsoft 365, and advisory/budget management. Fluency in English is mandatory.

Infrastructure Engineer needed for GPU and Kubernetes. Manage GPU-accelerated workloads, resource scheduling, and infrastructure lifecycle using tools like Terraform, Ansible, and Python. Requires 3+ years in production Kubernetes.

Senior Salesforce Marketing Cloud Architect will design and implement scalable solutions within the Salesforce Marketing Cloud ecosystem. Collaborate with cross-functional teams to translate business requirements into technical designs. Minimum 5 years of experience in Salesforce Marketing Cloud required.

Senior Software Engineer focusing on designing and maintaining software to improve platform reliability, observability, and scalability. Requires 5+ years in software engineering with skills in Python, Go, Java, or C#, and experience with cloud-native systems.

Lead the development and implementation of scalable AI solutions, including machine learning, optimization, NLP, and computer vision. Design AI architectures, research tools and technologies, and translate business problems into data science solutions. Collaborate with engineering teams to build AI applications and present findings to stakeholders.

Experienced Solution Architect needed for enterprise-scale Microsoft Business Applications projects. Focus on Dynamics 365 CE, Power Platform, Azure integrations, and customer-centric digital transformation. Lead architecture, delivery, and technical best practices. Minimum 8 years of experience in Microsoft Business Applications environments required. Fluency in English and relevant certifications preferred.

Senior Fullstack Developer to build and maintain a large-scale e-mobility platform ecosystem. Requires 4+ years experience with TypeScript, AWS (Lambda, Serverless), DynamoDB, Redshift, REST APIs, WebSockets, and Git. Solid understanding of cloud-native architectures. Fluent English (B2 level).

Manager, Product Management drives vision and strategy for the Structured Storage Platform. This role requires technical acumen, customer focus, and experience leading product execution in complex, cloud-native SaaS environments.

Senior Oracle Developer to assess and modernize Oracle E-Business Suite environment. Analyze architecture, identify technical debt, and provide recommendations for improvements.

Design and evolve scalable backend services and APIs using Go. Improve Kubernetes-based systems, design microservices, and lead technical initiatives. Requires deep Go experience and knowledge of distributed systems.

Experienced Guidewire Developer or Tech Lead needed for a large-scale international insurance project. Design, develop, and enhance Guidewire applications within BillingCenter or PolicyCenter.

Senior Full Stack Developer role for building a world-class online brand protection platform. Requires strong web development, systems, and architecture knowledge combined with expertise in modern AI coding workflows and agentic development.

Functional Safety Engineer to ensure compliance with ISO 26262 and related standards across the product lifecycle. Tasks include creating documentation, conducting hazard analysis, performing safety analyses, and collaborating with cross-functional teams. Requires 5+ years of experience in automotive electronics and proficiency in safety analysis methods.

Solution Architect to design and implement a DCOM WCCE MS Certificate Authority Server solution. Requires experience with MS Certificate Authority server administration, DCOM and Kerberos, SQL databases, and software architecture.

Data & AI Consultant will design and deliver modern data platforms using Microsoft Fabric, Power BI, and Azure technologies. You will help customers build AI-enabled analytical solutions and transform data into actionable insights.

Senior Data Engineer will design and develop data processing pipelines, architect data platforms, and collaborate with Data Science teams on Machine Learning projects. Requires 5+ years of experience implementing Big Data systems, strong Python and SQL skills, and expertise in technologies like Databricks, Airflow, and Spark.

Senior Data Scientist / ML Engineer will design, implement, and validate Machine Learning models to support business objectives. Responsibilities include researching, testing, and selecting AI solutions, understanding client needs, and translating business problems into data science problems. Requires 5+ years of experience in AI solutions, proficiency in Python and ML libraries, and experience deploying solutions in cloud environments.

Data Scientist / ML Engineer will design, implement, and validate Machine Learning solutions. Responsibilities include understanding client needs, translating business problems into data science problems, and developing scalable AI solution architectures. Requires 3+ years of experience designing and implementing scalable AI solutions, proficiency in Python and ML libraries, and experience deploying solutions in cloud environments (AWS or Azure).

Lead Data Engineer to design and develop scalable data management architectures and platform solutions using technologies like Spark, Hadoop, and AWS. Responsibilities include designing data governance processes, developing CI/CD and MLOps processes, and collaborating with the Data Science team. Requires 7+ years of experience in implementing Big Data systems, strong programming skills in Python or Java/Scala, and experience with cloud environments.

Senior/Lead Software Engineer to design and implement robust, scalable software solutions. Requires 7+ years of Java development experience, Oracle database expertise, and experience with cloud-native technologies (Azure) and legacy systems (WebLogic, IBM MQ). Must have experience with Kafka, Kubernetes, REST APIs, and Domain-Driven Design. Excellent communication and leadership skills are essential. Fluent English required.