Role Description We are looking for a Senior Software Engineer to join our globally distributed Data Platform team in Europe. This is a high-impact individual contributor role focused on driving the migration of our core data pipelines to modern, scalable platforms. You will take technical ownership of migrating legacy Hadoop/Spark/Impala systems to a modern Databricks-centric stack. This role is ideal for a hands-on engineer who is passionate about modernizing data stacks and influencing platform architecture in a large-scale, global environment. Key Responsibilities & Impact - Data Pipeline Migration: Own and drive the migration of legacy data pipelines (Hadoop, Spark, Impala) to modern platforms, with a primary focus on Databricks. This includes porting complex SQL, re-architecting ETL scripts, and migrating connections and secrets. - Accelerated Migration through "Vibe Coding": Leverage state-of-the-art AI coding assistants (such as Claude and Codex) to automate and accelerate the conversion process. - Develop and Modernize: Design, build, and maintain scalable Airflow DAGs and Databricks Jobs for large-scale data pipelines. - Ensure Data Integrity: Implement and execute robust validation strategies to ensure data parity and quality between legacy and modern systems throughout the migration process. - Drive Operational Excellence: Enhance our data platform's reliability by contributing to SLOs/SLAs, observability, and incident response practices. - Data Experience: Possess a strong understanding of contact center analytics and the data used to measure and improve customer interactions. Qualifications - 6–8 years of software engineering experience with a strong background in distributed systems and large-scale data platforms. - Experience driving or heavily contributing to legacy-to-modern platform migrations (e.g., Hadoop/Impala to Databricks). - Strong understanding of the Databricks Ecosystem, including Jobs, Delta Lake, and cluster configuration/optimization. - Proficient in Python for ETL scripting and deep expertise with Databricks for designing, debugging, and rewriting production DAGs. - Experience with cloud-native data storage (specifically Google Cloud Storage) and interfacing with Kubernetes (GKE) microservice architectures. - Deep understanding of distributed data processing and real-time vs. batch trade-offs. - Familiarity with data integration patterns (connectors, webhooks, event-driven systems). - Experience managing and integrating with cloud-native data infrastructure (GCP preferred). - Strong focus on platform reliability, scalability, observability, and data parity validation. - Excellent "vibe coding" skills: comfortable guiding, prompt engineering, and utilizing AI-assisted development tools. - Comfort working across multiple regions and collaborating with globally distributed teams (US, EU, Israel, India). Requirements - Experience in conversational AI, contact center platforms, or customer engagement systems (nice to have). - Experience with Java or Scala, particularly for deciphering legacy codebases during migration (nice to have). - Experience with CI/CD pipelines (nice to have). Benefits - Financial Security & Growth: Additional 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 to make a difference in your community. - Workplace Flexibility: Remote-first model with no defined working hours or boundaries. - Join our monthly connection pizza day in the office!

• Design and develop advanced ServiceNow configurations and customizations across CSM, ITSM, HRSD, and SLO modules. • Architect and implement integrations using IntegrationHub, MID Server, REST/SOAP APIs, and Workflow Data Fabric. • Build and maintain business rules, client scripts, script includes, UI actions, and scheduled jobs using server-side JavaScript and Glide APIs. • Lead technical design reviews and code reviews, enforcing Azure DevOps stage gates and SDLC standards. • Deliver Now Assist (GenAI) feature rollouts including AI-assisted case deflection and knowledge article generation. • Partner with platform administrators on upgrade readiness, patching cycles, and regression test planning. • Translate complex HRSD, IT Service Desk, and CSM requirements into scalable technical solutions with complete documentation. • Produce and maintain technical design documents, integration specifications, and operational runbooks. • Mentor mid-level developers and system administrators on platform best practices, performance tuning, and security hardening. • Ensure deployments follow Dev > Test > Prod update set pipelines and Azure DevOps release controls.

Role Description Genex Systems is looking for a talented and versatile GIS Developer to join our team supporting Enterprise GIS at NASA. The qualified candidate will have broad experience in the full ESRI tool suite focusing on Enterprise Portal, experience developing low/ no-code applications, using ESRI solutions, knowledge of the software development lifecycle, agile hybrid approaches, CI/ CD, and SDSFIE. - Support GIS system operations, maintenance, and enhancement in an Enterprise Portal Environment; generally working within the ESRI Ecosystem. - Design applications through the full lifecycle of development: - Requirements gathering - Planning - Design - Development - Testing - Documentation - Release focusing on low/ no-code applications from the ESRI suite - Design and code documentation, wireframing, visualization of application workflows. - Requirements definition; working with clients and customers to identify requirements and providing effective solutioning recommendations. - Multiple application design project management; must be comfortable managing multiple workflows at once. - Research, test, build, and coordinate the conversion and/or integration of new products based on client requirements. - Address systems integration and compatibility across multiple platforms. - Consult with project teams and end users to identify application requirements. - Perform feasibility analysis on potential future projects to management. - Assist in the evaluation and recommendation of application software packages, application integration, and testing tools. - Resolve problems with software and respond to suggestions for improvements and enhancements. - Create and maintain Metadata. Qualifications - Bachelor's degree in Geography, Engineering, GIS, or related discipline. - 5+ years of related experience, with at least 3 years working with a remote team. - US citizenship is required. Requirements - 5+ years experience working in ESRI Enterprise and Online environments; preferably with extensive experience in Experience Builder, Survey123, and webhooks. - 3+ years designing programming applications from requirements to execution; laying out data structure, optimizing code. - 2+ years designing, developing, enhancing, debugging, and implementing software. - Experience troubleshooting production problems related to software applications independently. - 1+ years experience using Python, arcPy, or a combination of the two. Preferred Experience - Experience with ESRI Enterprise Portal. - Experience with Project Management.

• Design, develop, and implement customer decisioning solutions using Pega Customer Decision Hub (CDH) • Build and configure Next-Best-Action (NBA) strategies, engagement policies, and decision strategies • Develop adaptive models and real-time decisioning capabilities to optimize customer interactions • Collaborate with business stakeholders to understand customer engagement requirements and translate them into scalable Pega solutions • Integrate Pega CDH with enterprise applications using REST APIs and other integration technologies • Configure customer journeys and personalized engagement across multiple channels • Perform unit testing, debugging, and troubleshooting to ensure high-quality deliverables • Document technical designs, configurations, and implementation processes • Support deployment activities and provide post-production support as required.