151 English-speaking jobs in Podlaskie Voivodeship

Lead Software Engineer will define architecture strategy and non-functional design for secure, reliable, and high-throughput data movement across Relativity's SaaS platform. Responsibilities include leading multi-team Azure delivery, owning reliability and observability, and coaching and elevating engineers. Requires 7+ years building distributed SaaS in .NET/C# or similar and 3+ years leading initiatives or teams. Deep Azure expertise, including AKS, Service Bus/Event Hubs, Cosmos DB or SQL, is essential. Proven ownership of SLO/SLA outcomes, on-call leadership, and RCAs is also required.

Design, develop, and execute manual and automated tests for cloud-native security services. Maintain and extend automated test suites integrated with CI/CD pipelines. Test REST APIs, backend services, and platform components. Validate cloud-based architectures running on AWS. Analyze logs, metrics, and monitoring data to identify issues. Collaborate with developers, DevOps, and product team.

Analyze, troubleshoot, and implement technical solutions for Atlassian systems and plugins. Collaborate with users on process automation, reports, workflows, and dashboards.

Execute Tosca regression tests, script, and troubleshoot. Conduct manual testing until automation is implemented. Collaborate with teams, prepare daily reports in Jira.

We are seeking a Fullstack Software Engineer with 3+ years of experience to develop a fullstack web application. Responsibilities include developing frontend components using Vue.js, building backend services in Python, and working with SQL/noSQL databases.

We are seeking a Fullstack Software Engineer to develop a fullstack web application. Responsibilities include developing frontend components using Vue.js, building backend services in Python, and working with databases. The ideal candidate has 3 years of experience as a Software Engineer with strong JavaScript and Python skills, experience with frontend development, and a solid understanding of backend development and databases.

Leads product strategy and execution for aiR Assist, Relativity's agentic search solution. Drives product vision, defines success metrics, and collaborates with engineering, design, and customer-facing teams. Owns answer quality for aiR Assist, defining and evolving quality metrics and partnering with applied science to design evaluation frameworks. Requires 5+ years of product management experience, building AI-powered or data-driven products.

AI Engineer needed for projects involving LLMs, Generative AI, and backend development. Requires 3+ years of Python experience, strong programming skills, and experience with LLMs and Generative AI. Familiarity with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL) is also required.

Manages software product development teams, contributing to product roadmap and delivering features. Oversees team development, aligns goals with strategy, and serves as a technology advisor. Requires 10+ years of software development experience, 4+ years managing teams, and expertise in agile methodologies.

Senior Full Stack Engineer will build software projects for the Relativity platform, contributing to a Scrum team throughout the software development lifecycle. Responsibilities include architecting, designing, and developing performant, scalable, and secure software using C#, JavaScript, TypeScript, and modern frameworks. Requires a Bachelor's degree in computer science, engineering, or equivalent experience, and at least five years of experience developing commercial-grade systems using C#.

Senior Software Engineer will design, write, test, deploy, and support Relativity software products. Focus on Import/Export services for our SaaS platform. Requires advanced React with TypeScript, C#/.NET, and experience designing and operating distributed SaaS systems.

Manages data analytics consulting projects, proposing solutions, gathering requirements, and supervising implementation. Collaborates with team members on client projects, developing data-driven solutions. Designs, develops, and implements management information products, analytical solutions, and raw data extraction processes. Provides insights on transforming raw data into visualizations to support management decisions. Leads the development of data tools for transformation, management, and access. Oversees the implementation of performance monitoring protocols in data pipelines. Supports the identification of data governance requirements and manages data accessibility.

Design, develop, and maintain finance automation solutions using Redwood or comparable platforms. Build and integrate system interfaces across financial and enterprise systems.

Design, build, and maintain scalable infrastructure for performance testing in cloud environments (AWS, Docker, Kubernetes). Automate deployments and integrate testing processes into CI/CD pipelines (GitLab CI/CD). Build, configure, and maintain monitoring and observability solutions (Prometheus, Grafana, InfluxDB). Support performance engineers by enabling the execution of performance tests (Locust, Gatling, K6) and providing the necessary infrastructure.

AI Engineer needed for projects involving LLMs, Generative AI, and backend development. Requires 3+ years of Python experience, strong programming skills, and experience with LLMs and Generative AI. Familiarity with backend frameworks (e.g., FastAPI), databases, Docker, Git, and CI/CD is beneficial.

Design and implement automated test suites for switch software and firmware. Develop Python-based testing frameworks for functional and performance testing. Perform regression, stress, and system-level testing on hardware platforms.

Lead the development and implementation of Machine Learning solutions, ensuring alignment with project objectives. Design AI solution architectures, research and select tools and technologies, and understand client needs.

Lead the design, development, and validation of Machine Learning solutions, ensuring alignment with project objectives. Research, test, and select AI solutions to meet business requirements. Understand client needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows. Coordinate with Data Engineering and Software Engineering teams. Present findings and recommendations to stakeholders. Prioritize tasks within an Agile/Scrum framework.

Senior Data Engineer to work on projects involving automotive data, a global aerospace data platform, and a centralized reporting platform for a US telecommunications company. Responsibilities include developing and maintaining data processing platforms, designing data pipelines, and collaborating with cross-functional teams. Requires 5+ years of experience implementing Big Data systems, strong Python skills, and experience with technologies like Spark, Cloudera, Kafka, Airflow, NiFi, Docker, and Iceberg.

Lead Data Engineer to design and develop scalable data management architectures and platform solutions for streaming and batch processing using technologies like Spark, Hadoop, and Iceberg. Responsibilities include designing data management processes, collaborating with the Data Science team, and translating business requirements into technical solutions. Requires 7+ years of experience in implementing Big Data systems, strong Python or Java/Scala programming skills, and familiarity with cloud environments (AWS preferred).