73 English-speaking jobs in Podlaskie Voivodeship

The Chief Technology Officer (CTO) will own the company's technology vision, execution, security posture, and engineering operations. Responsibilities include leading architectural decisions, scaling the platform securely, and building high-performing teams. The CTO will also partner with product, operations, and customer teams to align delivery with real-world job-site needs.

Senior Product Manager will oversee AI-first developer experience, including AI-assisted development, agentic workflows, and automated operations. Responsibilities include crafting product strategy, understanding engineering and customer needs, and leading product development from inception to delivery. Must have experience in software development lifecycle, agile methodologies, and data analysis.

Participate in paid online and in-person market research studies. Complete surveys, focus groups, and provide product feedback. Must have a working camera, reliable internet, and the ability to follow instructions.

DocuWare Workflow Specialist needed to design, configure, and maintain workflows, focusing on finance processes. Requires 5+ years of DocuWare experience, including Workflow Designer, and strong understanding of ECM/DMS solutions and compliance requirements.

Senior Engineer to collaborate on new product implementation, designing cloud applications on AWS, integrating with company products and partners. Requires 3+ years of software development experience with Python, Groovy, Bash, and cloud infrastructure (AWS, Azure, or Google Cloud). Experience with containers, CI/CD tools, and AI-based automations is essential.

Senior Electronic Design Engineer to lead hardware development, including specification, design, documentation, and verification of electronic circuits. Requires 5+ years experience in analog/digital electronics, power systems, and sensor integration. Proficiency in Altium, C programming, and EMC/EMI principles is essential.

Senior Full Stack Developer will develop and maintain customized software solutions for a European public sector client. Responsibilities include implementing software components, system integration and testing, and collaborating with teammates. Requires 6+ years of Java development experience and 3+ years of Angular front-end development experience.

Business Analyst will join consulting or implementation teams for IT projects in the financial sector, primarily insurance. Responsibilities include business analysis, defining functional requirements, testing solutions, and collaborating with developers and architects.

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

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.

Embedded Software Engineer to design, implement, and debug Linux kernel modules and device drivers. Collaborate with hardware and firmware teams on platform bring-up and optimize tools for performance monitoring. Requires 5+ years of embedded or kernel development experience, strong C/C++ skills, and knowledge of Linux OS internals and CPU architecture.

As a Solution Engineer, you will act as a technical advisor during pre-sales engagements, helping clients understand AI/ML and data platform solutions. You will design solution architectures, create technical proofs of concept, and collaborate with sales, delivery, and engineering teams.

This fixed term role (12-18 months) supports HR Operations Engineering initiatives. The Technical Analyst will administer and configure Jira Project and Jira Service Management, including HR Service Desk operations and knowledge base development.

The Shift Lead oversees daily Product Support team activities, manages escalated issues, and ensures smooth operational transitions. This role monitors service levels, advises management on support needs, and manages employee schedules.

Relativity’s Application Security team prevents, detects, and reviews remediation of security issues within Relativity software products. This role designs, implements, and promotes a community of practice to foster security awareness and collaboration. Responsibilities include technical reviews of software products, code, features, tools, and infrastructure to validate security best practices. Respond to customer security questions and reproduce customer vulnerability reports. Innovate and integrate new methodologies for hardening software supply chain security. Facilitate penetration tests of Relativity products. Assist with security compliance audits. Maintain and optimize software package security scanning and secure code scanning tools.

Senior Electronic Design Engineer to spearhead and participate in the specification, design, development, and verification of innovative electronic hardware. Requires a minimum of five years of experience in a similar role, proficiency in Altium, C programming, and strong understanding of EMC/EMI principles.

Data Engineer needed to build and optimize data pipelines for financial sector clients. Requires 3+ years of experience in data engineering, ETL/ELT processes, and data warehousing. Proficiency in SQL, Python/Java/Scala/R, and experience with Snowflake or Databricks is essential.

AI Engineer needed to develop scalable AI systems, including LLMs and Generative AI. Experience with Python, LLMs, backend frameworks, and cloud environments required.

Senior Data Engineer to develop and maintain a high-performance data processing platform for automotive data. Responsibilities include designing and implementing data pipelines, optimizing data workflows, and collaborating with cross-functional teams. Requires 5+ years of experience with Big Data technologies (Spark, Cloudera, Kafka, Airflow, NiFi, Docker, Iceberg), strong Python (or Java/Scala) skills, and experience in cloud environments.

Lead the development and implementation of scalable AI solutions, including Machine Learning, Predictive Modeling, Optimization, LLMs, NLP, Computer Vision, and GenAI. Translate business problems into data science problems and architect data pipelines. Coordinate with Data Engineering and Software Engineering teams to build AI applications.