42 English-speaking jobs in Podlaskie Voivodeship

DevOps Engineer (AWS) needed for a complex platform project. Responsibilities include designing scalable microservices, improving CI/CD, and managing infrastructure using Kubernetes and AWS. Requires 3+ years of experience in Go, Linux, and IaC.

Experienced Salesforce Developer to design, develop, and optimize Salesforce solutions. Proficiency in Apex, LWC, and SOQL required. Experience with Salesforce Education Cloud, Marketing Cloud, or Data Cloud preferred. Salesforce certifications (e.g., Platform Developer I/II) are mandatory.

Experienced Guidewire Developer or Tech Lead to design, develop, and enhance Guidewire applications. Must have proven commercial experience with BillingCenter/PolicyCenter and strong Java development skills.

Lead IT Business Development by building client relationships and driving new business in digital strategy, UX/UI, and AI. Manage the full sales cycle, translating technical concepts into business value. Requires 4+ years in B2B tech sales and fluent English.

Test Automation Engineer needed for banking and insurance clients. Requires 6+ years in test automation, Java, SQL, and Agile. Experience with Cypress, Selenium, JIRA, and Postman is key.

Infrastructure Engineer specializing in GPU and Kubernetes. Responsibilities include provisioning GPU nodes, managing resource scheduling, and maintaining CI/CD for AI/ML tooling. Requires 3+ years with production Kubernetes and hands-on GPU infrastructure experience.

Software Engineer will develop and maintain backend services using Go (Golang) and build frontend components with Vue.js. Responsibilities include contributing to a microservices architecture migration, designing RESTful APIs, and supporting database transformation initiatives.

Lead Data Scientist / ML Engineer will design, implement, and validate AI solutions, translate business problems into data science problems, and architect data pipelines. Requires 5+ years of experience in AI, ML algorithms, Python, LLMs, SQL, NoSQL, CI/CD, and cloud environments (AWS or Azure).

Data Engineer role building Azure-based data pipelines and backend services for an AI-powered chatbot. Requires 3+ years experience, strong Python, Azure, ETL/ELT, and SQL skills.

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, Kafka, Kubernetes). Must have strong understanding of DDD principles and experience with RESTful APIs and integration patterns.

Lead the design, development, and implementation of scalable AI solutions for global enterprises and startups. Responsibilities include architecting AI solutions, translating business problems into data science problems, and overseeing data pipelines and workflows. Requires 5+ years of experience in AI, strong Python skills, and expertise in ML algorithms, LLMs, and 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, strong Python or Java/Scala skills, and a Master's or Ph.D. in a relevant field.

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).

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 designing and implementing scalable AI solutions, proficiency in Python and ML libraries, and experience deploying solutions in cloud environments (AWS or Azure).

Support and develop an Azure-based data integration solution focused on Azure Data Factory (ADF). Design, develop, and maintain ADF pipelines, including orchestration, parameterization, and trigger management. Translate business requirements into technical solutions, collaborating with the Product Owner and Architect. Develop and maintain Python-based components and contribute to CI/CD processes in Azure DevOps.

Senior Data Engineer to design and develop data processing platforms for automotive and aerospace clients. Requires 5+ years of experience with Big Data technologies (Spark, Cloudera, Airflow, Kafka), cloud environments, and Python (or Java/Scala). Excellent communication and client management skills are essential.

AI Engineer with 3+ years of Python software engineering experience needed to develop scalable AI systems, including LLMs and GenAI. Responsibilities include building backend components, ensuring code quality, and participating in deployment and maintenance. Experience with cloud environments (AWS, GCP, Azure), FastAPI, and databases (SQL/NoSQL) is required.

Data Engineer to design and develop data platforms, pipelines, and applications using Databricks, Spark, Airflow, and other Big Data technologies. Experience with Python, SQL, ETL, Azure, and data modeling required.

Lead the design, implementation, and validation of scalable AI solutions. Experience in Machine Learning project leadership, team mentoring, and deploying solutions in cloud environments (AWS or Azure) is required. Strong Python skills, knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow), and experience with LLMs are essential. Excellent communication skills and experience working with clients are necessary.

Azure VMware Solution Consultant focusing on Microsoft Azure solutions. Design and implement landing zones using Azure and AVS networking for seamless migration. Requires 5+ years in infrastructure architecture with Azure expertise.