Role Description We're looking for a Senior Software Engineer to join our globally distributed Data Platform team in Europe and play a key role in shaping the future of our data ecosystem. In this high-impact individual contributor role, you'll lead the modernization of our core data platform by migrating mission-critical data pipelines from legacy Hadoop, Spark, and Impala environments to a scalable, cloud-native Databricks architecture. You'll have the opportunity to drive technical decisions, influence platform architecture, and build the foundation that powers data across the business. If you're a hands-on engineer who enjoys solving complex technical challenges, building modern data platforms, and making a lasting impact at scale, we'd love to hear from you! Key Responsibilities & Impact - Lead the Modernization of Our Data Platform: Take ownership of migrating mission-critical data pipelines from legacy Hadoop, Spark, and Impala environments to a modern, scalable Databricks ecosystem. You'll re-architect ETL workflows, convert complex SQL, and seamlessly migrate integrations, connections, and secrets. - Accelerate Development with AI-Powered Engineering: Leverage cutting-edge AI coding assistants such as Claude and Codex to dramatically accelerate migration efforts. You'll guide AI tools to convert SQL, modernize ETL scripts, untangle dependencies, and generate clean, maintainable code—while applying your engineering expertise to validate architecture, performance, and quality. - Build the Next Generation of Data Pipelines: Design, develop, and optimize scalable data workflows using Airflow and Databricks. You'll create resilient, high-performance pipelines that are reliable, cost-efficient, and built to support growing business needs. - Champion Data Quality: Ensure the accuracy and consistency of migrated data by implementing comprehensive validation and testing strategies. You'll play a critical role in maintaining data integrity throughout the migration journey. - Improve Platform Reliability: Help drive operational excellence by enhancing observability, monitoring, and incident response practices. Contribute to service reliability through SLOs/SLAs and participate in a scalable on-call rotation to support production systems. - Deliver Meaningful Business Impact: Apply your understanding of contact center analytics to build platforms that power customer conversation insights, reporting, and business intelligence. You'll embrace a data-driven mindset, designing systems that are measurable, observable, and continuously improving. Qualifications - Extensive Software Engineering Experience: 6–8 years of experience building and supporting distributed systems and large-scale data platforms, with a proven ability to own complex technical initiatives from design through production. - Proven Platform Modernization Experience: Hands-on experience leading or playing a key role in migrating enterprise data platforms from legacy technologies—such as Hadoop, Spark, Hive, or Impala—to modern cloud-based solutions like Databricks. - Deep Databricks Expertise: Strong knowledge of the Databricks ecosystem, including Jobs, Delta Lake, cluster configuration and optimization, and migrating complex SQL workloads from Impala or Hive to Spark SQL. - Data Pipeline & Orchestration Skills: Advanced Python programming skills for ETL development and extensive experience designing, building, debugging, and optimizing production data pipelines and orchestration workflows using Airflow and Databricks. - Cloud & Infrastructure Knowledge: Experience working with cloud-native data platforms, particularly Google Cloud Platform (GCP) and Google Cloud Storage (GCS), with an understanding of containerized, Kubernetes-based (GKE) microservice architectures. - Modern Data Platform Expertise: Strong understanding of distributed data processing architectures and the trade-offs between real-time and batch data processing. - Hands-on experience with legacy big data technologies: Including Hadoop and MapReduce, with the ability to modernize and migrate complex data ecosystems. - Knowledge of data integration patterns: Including APIs, connectors, webhooks, and event-driven architectures. - Cloud & Platform Engineering: Experience building, deploying, and managing cloud-native data platforms, with Google Cloud Platform (GCP) experience preferred. - Familiarity with containerized environments: Running data workloads on Kubernetes. - A strong focus on building highly reliable, scalable, and observable platforms: Experience implementing monitoring, validation, and data quality controls to ensure successful migrations. - AI-Assisted Software Development: Experience using AI-powered development tools such as Claude, Codex, or similar coding assistants to accelerate software development, code modernization, and platform migrations. - Collaboration & Communication: Excellent communication and collaboration skills, with experience partnering across engineering teams in multiple time zones. Requirements - Nice to Have: Experience working with conversational AI, contact center platforms, or customer engagement technologies. - Proficiency in Java or Scala, particularly when analyzing, maintaining, or modernizing legacy codebases during platform migrations. - Experience designing, implementing, and maintaining CI/CD pipelines to support automated testing, deployment, and reliable software delivery. Benefits - Financial Security & Growth: Additional Pension scheme: deferred pension scheme (LivePerson contributes 20%), ESPP and annual bonus depending on achievements. - Equipment: Internet and Mobile reimbursement. - Development: Access to internal professional development resources. - Time Away & Family Support: Flexible Paid Time Off (PTO): Personal time off 33 days, vacation (28 days) and care days (5). - Paid Public Holidays. - Volunteering Days: Use them to make a difference in your community. - Workplace Flexibility: Remote-First Model: Be flexible, work flexibly and from anywhere. - Monthly Connection: Join our monthly connection pizza day in the office!

Role Description We’re looking for a Staff Software Engineer to join the Checkfront team. Checkfront is an established SaaS platform in the tours and activities industry with real customers and meaningful scale. The team is focused on maintaining and improving the product with work spanning reliability, performance, retention, maintainability, and new feature development. As a Staff Engineer, you’ll work closely with engineering, product, and customer-facing teams to help the team deliver well-scoped, high-quality work while improving the health and stability of the platform over time. We’re looking for an experienced, product-focused engineer who can raise the technical bar, identify the right seams for improvement, reduce risk, and help the team move faster with confidence. What You’ll Do - Provide technical leadership on maintenance, reliability, performance, and product development work - Partner with Product to understand requirements, clarify technical constraints, and shape implementation plans - Collaborate with stakeholders to understand customer pain points, production issues, and operational risks - Improve delivery quality through better patterns, thoughtful code review, clearer technical plans, and stronger rollout practices - Identify opportunities to improve testability, observability, reliability, and maintainability - Help the team reduce technical debt incrementally without disrupting ongoing product delivery - Mentor other engineers through technical guidance, pairing, code review, and design discussions - Contribute to process improvements that help the team plan, deliver, and operate more effectively over time Qualifications - Significant experience as a senior or staff-level software engineer on product-focused teams - Comfortable working in large, mature, or complex codebases - Ability to make incremental improvements that reduce risk and improve maintainability over time - Balance customer needs, business priorities, technical debt, and delivery risk - Care deeply about reliability, performance, testability, and operational quality - Create technical clarity from complex systems, unclear boundaries, and imperfect abstractions - Communicate clearly and directly with engineers, product managers, support teams, and other stakeholders - Use AI-assisted development tools thoughtfully and effectively while maintaining strong engineering judgement - Help improve team process without being dogmatic about methodology - Lead through influence, example, and technical credibility rather than authority - Enjoy mentoring other engineers and helping a team raise its overall level of execution - Be pragmatic, steady, and thoughtful when working on business-critical systems Nice to Have - Experience in booking, ecommerce, travel, tours and activities, or other operationally complex domains - Experience modernizing older systems incrementally while continuing to ship customer-facing work - Strong PHP experience in production environments - Strong experience with React, Postgres, cloud infrastructure, CI/CD pipelines, and observability tooling - Experience improving test coverage, deployment confidence, incident response, or production diagnostics

Role Description A SCADA and Software Engineer in Schneider Electric is responsible for designing, implementing, and maintaining SCADA systems for industrial automation processes. The SCADA Engineer will be responsible for the design, implementation, and maintenance of SCADA systems that monitor and control various industrial processes. The ideal candidate is familiar with systems integration using a variety of technologies. It is not expected that they will have experience with all of them. A motivated and self-driven candidate with a background in a variety of industrial automation technologies will be the best fit. Innovative technologies may emerge as the Schneider Electric and AVEVA portfolios continue to grow. What You Will Be Doing - Design and develop SCADA systems using various software suites, including InTouch, System Platform, AVEVA/Wonderware Historian, OSI PI, etc. - Configure and program SCADA software to monitor and control various industrial processes, such as manufacturing, energy, mining, and utilities. - Collaborate with clients, project managers, and other stakeholders to understand system requirements and develop solutions that align with their needs. - Install, configure, and troubleshoot SCADA software and related components such as PLCs, ensuring proper integration with existing infrastructure. - Integrate SCADA systems with historians (e.g., OSI PI, Wonderware, AVEVA) for data acquisition, analysis, and reporting purposes. - Develop custom scripts using scripting languages (e.g., JavaScript, Python, VBScript, etc.) to enhance system functionality and performance. - Conduct system testing and commissioning to ensure the accurate functioning of SCADA systems, addressing any issues or discrepancies that arise. - Perform system upgrades and modifications, adhering to industry best practices and ensuring minimal disruption to operations. - Provide technical support and guidance to end-users, troubleshooting system issues, and offering timely resolutions. - Participate in training to stay updated with the latest advancements and trends in SCADA technologies. Qualifications - BS in Engineering, Computer Science, or equivalent experience. - Strong knowledge of SCADA systems and integrating with different data sources. - Experience with AVEVA (formerly Wonderware) software products including System Platform, Operations Control, InTouch, and Predictive Analytics. - Knowledgeable in computer networking architectures, topologies, and hardware. - Experience in programming languages such as JavaScript, Visual Basic, or C#. - Familiar with operational data historians (e.g., AVEVA, Wonderware, OSI PI, etc.). - Experience configuring and troubleshooting industry standard communication protocols such as Modbus, OPC UA/DA, DNP3, and TCP/IP. - Strong analytical and problem-solving skills, with a keen attention to detail. - Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and clients. - Willingness to travel to customer sites if needed. Most work is currently remote, but engineers may need to travel up to 25% in the future for customer meetings or deployments. Requirements - Proven experience as a SCADA Engineer, with a focus on AVEVA/Wonderware System Platform and OSI PI. - Familiarity with OSI PI architecture, data modeling, and integration with SCADA systems. - Experience with identifying and implementing automation to improve user experience (UX). - Experience with system integration using a variety of data access, including JSON, REST, and XML. - Ability to set up SQL databases to capture data streams and create custom SQL queries. - Create or modify PLC programs using Structured Text, Function Block Diagrams, and Ladder Logic. - Experience with self-managing multiple project priorities and deliverables. - Experience creating and modifying SCADA/HMI screens, alarms, and reports. Benefits - Competitive salary and benefits package. - Opportunities for professional development and growth. - Flexible work arrangements. - Supportive and inclusive work environment. Company Description Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders.

• Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. • Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. • Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. • Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. • Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. • Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos.