68 English-speaking jobs in Podlaskie Voivodeship

Consult on complex IT transformations for financial institutions, bridging business and technology. Drive Quality Assurance standards, DevOps, and software delivery engineering. Analyze requirements, design test scenarios, and prepare client-facing materials.

AI Engineer with 3+ years of Python experience sought to develop scalable AI systems, including LLMs and Generative AI. Responsibilities include building backend components, ensuring code quality, and participating in deployment and maintenance. Experience with Docker, Git, CI/CD, and cloud environments (AWS, GCP, Azure) is required.

AI Solution Architect will design end-to-end AI architectures, evaluate AI frameworks and tools, and support the development and deployment of AI solutions.

Design, implement, and validate scalable AI solutions using Machine Learning, Predictive Modeling, Optimization, LLMs, NLP, Computer Vision, and GenAI. Develop ML algorithms from scratch to production deployment, leveraging Python and ML libraries (Scikit-Learn, PyTorch/Tensorflow). Deploy solutions in cloud environments (AWS or Azure) and possess knowledge of MLOps practices, Kubernetes, and Docker.

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.

Data Engineer to design and develop data platforms, pipelines, and applications using Databricks, Spark, Airflow, and other Big Data technologies.

AI Solution Architect will design scalable AI solutions, identify high-impact use cases, and bring AI initiatives from concept to production. Responsibilities include leading AI architecture design, evaluating AI frameworks and tools, and ensuring AI solutions meet security and ethical standards. Requires a Bachelor's or Master's degree in a related field, experience with AI applications and modern AI technologies, and strong communication skills.

Data Engineer to develop and maintain data processing platforms for automotive, aerospace, and telecommunications clients. Projects involve Spark, Cloudera, Airflow, Iceberg, Python, AWS, Azure, and Databricks. Requires 3+ years of experience with Big Data systems, data governance, and cloud environments.

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 (AWS), and programming languages (Python, Java/Scala). Excellent communication and client management skills are essential.

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, develop, and maintain Azure Data Factory pipelines. Responsibilities include pipeline orchestration, monitoring, and optimization, as well as ETL/ELT processes and data warehouse support. Requires strong Python, SQL, and Azure experience.

Shape high-impact data and AI solutions for clients. Design modern data platforms and architect for AI, including feature stores, vector stores, and ML/LLM data foundations. Lead technical discovery, build proofs of concept, and own the technical narrative for data and AI opportunities.

Addepto seeks a Pre-Sales Engineer to help clients leverage AI and data platforms. You will align technical solutions with business goals, act as a trusted advisor, and support technical discovery. Requirements: Undergraduate degree in a relevant field, experience in technical roles (AI/ML, data platforms, consulting), and strong understanding of cloud platforms (AWS, Azure, GCP).

Senior .NET Developer / Team Leader will develop and enhance applications using .NET / .NET Core, design REST APIs, and work with databases. Requires 7+ years of experience in .NET / .NET Core, C#, web application architecture, and design patterns. Must have experience as a leader or tech lead and strong communication skills.

Manual QA Engineer needed for web and mobile application testing. Responsibilities include creating test cases, executing tests, reporting issues, and collaborating with developers. Requires 2+ years of experience, knowledge of test design techniques, and proficiency in Postman, Swagger, Jira, and Confluence. Strong communication and teamwork skills are essential.

Support RAMS and LCC activities for power converter systems across project phases. Assist in preparing and maintaining RAMS documentation and contribute to LCC calculations. Collaborate with engineering teams and gradually build knowledge of railway standards.

Software Engineer (Cloud/Backend) to design, develop, and maintain scalable backend systems using Java, Go, or Python. Experience with GCP services, database engineering, and microservices is required.

Senior .NET Developer / Architect will develop a financially related employee benefit application using .NET 6.0 in the Azure cloud. Responsibilities include designing, implementing, and maintaining applications, working with SQL Server, and utilizing AI tools. Requires strong C#, .NET Core/.NET 6+, Azure, and Entity Framework knowledge, as well as experience with AI-powered development and Git.

Senior Datacenter Engineer with 4-5 years experience designing and implementing large-scale enterprise and datacenter networks. Must have deep understanding of networking and datacenter technologies (BGP, OSPF, ACI, EVPN/VXLAN, NDFC, NX-OS) and practical experience in network automation using IaC tools (Ansible, Terraform, Python).

Category Procurement Lead will manage team, implement procurement strategies, and oversee end-to-end procurement processes. Requires several years of experience in purchasing, preferably with steel, aluminum, and copper components, a Mechanical Engineering degree, and strong data analysis skills.