Remote jobs

Build the Market Leader in Satellite Analytics with us at LiveEO At LiveEO, we combine Space Technology with AI to solve problems here on Earth. Our satellite-based monitoring solutions help Infrastructure operators and industrial companies to make their operations more ecological, safer, and more efficient. LiveEO is applying the latest developments in artificial intelligence to analyse satellite data and is bringing the insights of earth observation data to customers in the enterprise sector. LiveEO’s ambitious goal is to monitor 1 billion assets across the globe with its unique SaaS solution until 2030. Our team is as global as the satellite data we process and the customers we serve. Together, we are building something big. We are looking for a commercially driven Account Executive to build and own our Infrastructure business across Central and Eastern Europe. As this is a greenfield territory role, you will be the first dedicated presence in the region, responsible for identifying, developing and closing new business with utilities, energy companies, rail operators and pipeline businesses across Poland, Czechia, Slovakia, Hungary, Romania, Bulgaria and the wider Central and Eastern European market. Your challenge • Own the full sales cycle across Central and Eastern Europe, from prospecting and first contact through to commercial negotiation and close • Build a pipeline of new business opportunities with utilities, TSOs, DSOs, rail operators, and gas and pipeline companies across the region • Establish LiveEO's brand and presence in Central and Eastern European infrastructure markets through customer engagement, events and partner relationships • Lead discovery conversations that connect customer pain — vegetation risk, pipeline integrity, asset monitoring — to the Treeline and Surface Scout solutions • Develop and deliver compelling proposals, business cases and demonstrations tailored to each customer and market • Navigate complex, multi-stakeholder procurement processes including tenders and framework agreements • Work closely with Solutions Engineering, Customer Success and product teams to ensure delivery confidence and strong handoffs • Maintain accurate and current records in HubSpot — pipeline, next steps, close dates and deal notes • Feed market intelligence, competitive landscape and customer feedback back to the broader team • Represent LiveEO at regional industry events and conferences across Central and Eastern Europe Your profile Must haves: • 4+ years B2B enterprise sales in SaaS, technology or infrastructure software • Track record of building and closing new business in Eastern European markets • Deep understanding of Central and Eastern European infrastructure — utilities, energy, rail or pipeline • Strong commercial acumen — business cases, contract negotiation, complex procurement • Self-starter comfortable building a territory from the ground up • Proficiency in HubSpot or comparable CRM Nice to haves: • Experience selling geospatial, remote sensing, drone or satellite-based solutions • Existing network within Central and Eastern European utilities, TSOs, DSOs, rail or pipeline operators • Experience navigating EU-funded procurement and framework tenders • Understanding of vegetation management, pipeline integrity or asset management • Experience working in a scale-up or early-stage environment • Knowledge of EU energy transition investment programmes • Fluency in Polish, Czech, Slovak, Hungarian, Romanian or German is a plus Your Benefits • Gain direct insights into and influence strategic business decisions shaping our go-to-market (GTM) strategy, while working on cutting-edge SaaS and AI solutions that enhance business processes and lives globally. • Join a rapidly growing multinational leader in an evolving and impactful industry, surrounded by a talented, international team of experts from 30+ nationalities. • Flexible working hours - we trust our employees to get their work done while maintaining a healthy work-life balance • Enjoy significant responsibility with the autonomy to drive change, shape processes, and innovate. We encourage career development, creativity, and bold ideas. • Benefit from a culture of continuous learning, with frequent internal workshops, knowledge-sharing sessions, journal clubs, and hackathons. • Receive fair remuneration with the opportunity to participate in company ownership through our VESOP (Virtual Employee Stock Option Plan). • Wellness, life insurance and other benefits • At LiveEO, we value diverse backgrounds and experiences. We encourage anyone with a strong profile to apply, regardless of age, gender, ethnicity, or religion.

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. About the project: The project involves building and scaling an AI-powered customer management solution with a strong focus on agentic AI capabilities. Engineers will contribute to the design, development, and deployment of foundational AI platform components, including agent harnesses, agent factories, or similar agentic frameworks. You will be: • Designing and building agentic AI platform capabilities from the ground up. • Developing and delivering cloud-native enterprise applications. • Establishing and maintaining cloud infrastructure, Infrastructure as Code (IaC), and CI/CD pipelines. • Deploying and operating solutions in enterprise environments while adhering to architecture, security, governance, and compliance requirements. • Collaborating with client architects, engineering leaders, and technical stakeholders. • Supporting integration between modern AI solutions and existing enterprise systems. • Working within highly regulated environments that include significant legacy infrastructure. Your profile: • Strong software engineering background with hands-on development experience. • Proven experience delivering cloud-based solutions in enterprise environments. • Demonstrated experience building an agent harness, agent factory, or comparable agentic platform from the ground up. • Deep expertise in cloud engineering, including infrastructure, Infrastructure as Code (IaC), CI/CD, and enterprise-scale deployments. • Experience working within complex enterprise organizations. • Experience operating in regulated environments with governance, controls, and architectural standards. • Ability to work effectively in distributed, remote teams aligned with European time zones. • Technical leadership, stakeholder management, and the ability to engage directly with senior architects and engineering leadership. Work from the European Union region and a work permit are required. Nice to have: • Experience in banking or financial services environments. • Experience integrating with legacy systems such as mainframes, core banking platforms, legacy middleware, or messaging systems. • Experience modernizing environments with significant legacy infrastructure. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. The project focuses on migrating and modernizing a business-critical enterprise platform for an international company in the rail transportation and asset-leasing sector. The first phase establishes the technical foundation and migrates an initial set of business modules. The priority is to preserve existing functionality and business rules while introducing selected improvements in usability, automation, performance, observability, and security. Delivery follows a phased approach to support operational continuity throughout the transition. You will be: Building a reusable application platform with shared components and common development patterns. Migrating existing business functionality while maintaining functional parity. Understanding and documenting complex business rules, data, and dependencies. Integrating the new solution with enterprise systems and supporting data migration. Delivering incremental releases supported by automated testing, user acceptance testing, and post-release stabilization. The technology stack includes C# and .NET for backend development, React and TypeScript for the frontend, and PostgreSQL for data storage. Cloud infrastructure uses AWS and Terraform, with xUnit, Vitest, and Playwright supporting automated testing. The team works in an international delivery environment using Scrum, two-week sprints, and regular refinement, planning, and review sessions. Close collaboration between engineers, business stakeholders, and domain experts is essential to understanding existing processes and translating them into reliable software. For candidates, the project offers an opportunity to combine modern application development with the challenges of enterprise migration. The work is particularly relevant to professionals who enjoy understanding complex systems, building reusable solutions, and delivering improvements within clearly defined business and technical constraints. Tech stack: • .NET ASP.NET Core WebAPI REST TDD Docker Azure DevOps GenAI exposure (Claude Code, GitHub Copilot) AWS as nice to have • The technology stack includes C# and .NET for backend development, React and TypeScript for the frontend, and PostgreSQL for data storage. • Cloud infrastructure uses AWS and Terraform, with xUnit, Vitest, and Playwright supporting automated testing. Your profile: • Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. • Work from the European Union region and a work permit are required. Nice to have: • Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. • Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. We are looking for an experienced Senior Business Analyst with 8+ years of experience to join our project team working on complex, distributed systems and large-scale transformation initiatives. The role requires strong analytical skills, technical understanding of data structures, and the ability to work across multiple teams in a structured, delivery-focused environment Summary This role is ideal for a Business Analyst who is comfortable operating at the intersection of business, data, and technology, and who thrives in complex, multi-team project environments. You will be: • • Elicit, analyze, and document business and system requirements • Translate business needs into clear User Stories at both high-level and technical levels • Support backlog management, refinement, and prioritization in collaboration with Product Owners and development teams • Work closely with multiple teams (min. 2 teams) to ensure alignment and consistency across solutions • Participate in large-scale initiatives such as system migrations and platform transformations • Analyze and support data models and relational database structures • Collaborate with stakeholders across business and IT to design scalable solutions • Support testing activities (validation of requirements, UAT support) • Ensure high-quality documentation in Jira and Confluence environments • Contribute to solution design for web-based and distributed systems Your profile: Technical Skills • Strong knowledge of SQL and relational databases • Understanding of data modeling concepts • Experience working with distributed systems / platform-based architectures • Experience in web-based systems development projects • Very good knowledge of Jira and Confluence tools Project & Domain Experience • Proven experience in migration projects and complex IT initiatives involving multiple teams • Experience working in fixed-price project environments • Ability to work across complex system landscapes and integrations • Business Analysis Skills • Strong experience in writing User Stories, including: o high-level business stories o detailed technical stories with acceptance criteria • Experience in requirements elicitation, analysis, and documentation • Understanding of Agile methodologies • Soft Skills • Excellent communication and stakeholder management skills • High level of independence and ownership • Strong teamwork mindset (team player) • Risk management ability an awareness • Working Environment • Collaboration with distributed teams • Participation in complex, multi-system environments • Fix price and Agile delivery model (Scrum-based projects) • High standards for documentation and communication • Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. • Work from the European Union region and a work permit are required. Nice to have: • Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. • Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. • • Knowledge of leasing or railway domain • Experience working with SAP systems Recruitment Process: CV review – HR call – Interview – Client Interview – Decision

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: • Design, develop, and maintain high-performance, scalable native iOS applications using both Swift and Objective-C, with a strong emphasis on modern Swift-based development. Collaborate closely with product managers, designers, and backend developers to deliver features that align with user needs and business goals. Write clean, maintainable code and participate in code reviews to ensure adherence to industry best practices. Identify and resolve performance issues, optimize application efficiency, and ensure a smooth user experience. Contribute to architectural decisions and help improve development processes within the team. Your profile: • 4+ years of professional experience in native iOS development, with a strong portfolio of published applications. Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field from a recognized university. Proficiency in Swift and solid experience with Objective-C; experience with SwiftUI and Combine is a plus. Solid understanding of iOS frameworks, multithreading, RESTful APIs, memory management, and adaptive UI implementation (SnapKit/Masonry). Strong problem-solving skills and the ability to work both independently and collaboratively in an agile, cross-functional team environment. Excellent communication skills in English, both written and verbal, with the ability to articulate technical concepts clearly. • Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. • Work from the European Union region and a work permit are required. Nice to have: • Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. • Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. About project: We are looking for Data Engineers with strong Apache Airflow experience to join a project focused on customer enablement and engineering for a managed Airflow platform. The project supports data engineering teams in adopting, integrating, and operating Apache Airflow within their existing technology ecosystems. This role is a great opportunity to combine hands-on Airflow engineering with technical consulting and customer enablement. You will help customers design and troubleshoot DAGs, integrate Airflow with their data platforms, and successfully transition workloads into stable production environments. You will work closely with customer data engineering teams and an internal project owner, providing technical guidance while helping customers adopt best practices and resolve complex platform and production challenges. You will: • provide hands-on support with Apache Airflow configuration, DAG development, scheduling, and troubleshooting, • advise customer data engineering teams on best practices for using Airflow across different technology stacks, • help customers integrate Airflow with their existing data ecosystems, including cloud data warehouses, transformation tools, and Infrastructure as Code solutions, • support customers during initial platform adoption and production onboarding, • troubleshoot complex Airflow and distributed system issues and guide customers towards stable and reliable solutions, • assist customers with operational challenges related to scheduling, dependencies, failures, and production workloads, • deliver technical guidance, enablement, and knowledge sharing to customer engineering teams, • collaborate with the internal project owner on scope, status tracking, priorities, and delivery activities, • contribute to documentation and reusable technical guidance for common Airflow use cases and issues, • work independently in a remote and distributed environment, Your profile: • strong hands-on experience with Apache Airflow, including DAG development, scheduling, dependencies, and operational concepts, • professional experience with Python, • commercial experience working with data engineering platforms or data infrastructure, • experience in a customer-facing, consulting, advisory, support, or technical enablement role, • strong troubleshooting skills with distributed systems and production environments, • ability to understand complex technical issues and translate them into practical solutions, • strong communication and customer empathy, particularly when providing technical training and support, • ability to work independently and take ownership of technical issues, • experience working effectively in remote and distributed international teams, • practical understanding of Kubernetes and containerized environments, • experience working with managed cloud services, • familiarity with at least one modern data technology stack such as Snowflake, dbt, or Terraform, • experience delivering technical workshops, training sessions, or customer enablement activities, • ability to quickly learn new platforms, technologies, and internal tooling, • Work from the European Union region and a work permit are required. Nice to have: • experience administering Apache Airflow in production environments, • experience with Infrastructure as Code technologies such as Terraform, • familiarity with SQL and analytical data workflows, • previous experience in customer support, Site Reliability Engineering, or platform engineering roles, • experience working with enterprise customers during onboarding, migration, or platform adoption phases, • experience integrating Airflow with cloud data warehouses, transformation platforms, or other modern data engineering tools, Recruitment Process: CV review – HR call – Interview – Client Interview – Decision

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: 5+ years of experience Extensive experience in manual QA activities across different project types and domains. Experience conducting QA assessments, process audits, and identifying improvement areas Ability to design and implement test strategies tailored to the project’s context and lifecycle. Skilled in coordinating and organizing manual QA work within development teams to ensure structured and efficient testing. Deep understanding of Software Development Life Cycle (SDLC) and QA’s role Strong knowledge of functional testing techniques and a grasp of non-functional testing (e.g., performance, usability, security). Designs and manages defect lifecycle processes, performs root cause analysis, and ensures appropriate follow-up actions. Defines, collects, and tracks product quality metrics to monitor and communicate progress. Constantly seeks process improvements to optimize testing efficiency and effectiveness. Proficient in manual API testing using tools like Swagger, Postman, or similar solutions. Basic understanding of CI/CD pipelines; capable of working in pre-configured environments and integrating QA activities into delivery workflows. Ability to implement Gen AI into QA work with experience in using tools like Claude, Codex, Copilot or similar Your profile: • Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. • Work from the European Union region and a work permit are required. Nice to have: • Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. • Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision •