Lead Software Engineer

Vollzeit

• Typ Festanstellung

• Qualifikationslevel Hochschultätigkeiten

Gewünschte Fähigkeiten & Kenntnisse

Evolution Kubernetes Scala Cloud Data Processing Test Automation Apache Wellness Open Source PostgreSQL Java Code-Review noSQL MOST Datenbankmanagement Microservices Oracle Server Edge MS Azure REST Jira across Übersetzungssoftware Mobile App AWS Python Docker HTTP Hybrid Automated Testing Automation Testing GIT GitLab Support JSON Continuous Integration DevOps Cloud Services Flexibilität Engagement, You will focus on designing and developing high-scale geospatial processing systems, building cloud-native services, and evolving backend data pipelines that support map content creation and validation.

• Design, develop, and maintain scalable backend services and data processing pipelines for map content and geospatial data.
• Contribute to and review architectural designs for distributed systems and cloud services.
• Collaborate cross-functionally with engineers, product managers, data scientists, and architects to define technical solutions.
• Mentor junior engineers and support technical best practices across the team.
• Drive operational excellence by contributing to CI/CD pipelines, monitoring, and automated testing.
• Ensure high software quality standards and reliability in production environments.
• Investigate and adopt emerging technologies in geospatial processing, cloud infrastructure, and big data frameworks.
• Work closely with colleagues in Europe and around the globe. Tech Stack: Java, Scala, Python, SQL, AWS, Docker, GitLab, Spark, Kafka, and GeoJSON., * Amazon Web Services, Apache Flink, Apache HTTP Server, Apache Kafka, Apache Spark, Architekturdesign, Backend, Big Data, Cloud Computing, Cloud-Services, Code-Review, Content-Entwicklung, Continuous Integration, Daten-Pipeline, Datenbanken, Datenverarbeitung, Devops, Distributed Computing, Docker, Forschung, Geoinformationssystem, Git, Gitlab, Informatik, Informationssysteme, Java, Jira, Json, Kubernetes, Low-latency, Microservices, Microsoft Azure, Nosql, Open Source, Operational Excellence, Oracle-Anwendungen, Postgresql, Python, Qualitätsmanagement, Restful APIs, SQL, Scala, Software Architecture, Systemverfügbarkeit, Test Automation

Persönliche Fähigkeiten

• Kommunikation, Zuverlässigkeit

Schulabschluss

• Bachelor

Sprachkenntnisse

• Bachelor's or Master's degree in Computer Science, Information Systems, Geo-Informatics, or a related field.
• 8+ years of experience in backend and/or service application development (Java, or Scala)
• Strong knowledge of software architecture, design, and code review.
• Expertise with DBMS, preferably PostgreSQL or Oracle.
• Experience building high-throughput, low-latency, and highly reliable systems at scale.
• Familiarity with HTTP, REST, JSON, and microservices architectures.
• Hands-on experience with AWS, GCP, or Azure cloud environments.
• Experience with Docker, Kubernetes, and container orchestration.
• Strong background in DevOps practices and CI/CD, with tools such as JIRA, Git, and GitLab.
• Experience with high availability NoSQL databases, Big Data processing Frameworks, Spark, Flink, and Kafka.
• Excellent communication skills in English, both written and spoken.

• Knowledge of geospatial data handling, frameworks, libraries (JTS, Apache Sedona), and GeoJSON.

• Engagement in industry forums or open-source geospatial communities. What Do We Offer?

• A great work-life balance

• 30 paid vacation days

• Hybrid model of work (2 days office and 3 days home office per week)

• Work on the development of high-scale services, serving and storing petabytes of data

• Work with cutting-edge, modern technologies

• Flexible working hours

• Competitive salary plus bonus

• German language course (For Germany-based employees)

• Employee wellness programs and life-coaching sessions

• A diverse team of fantastic & talented people from 60+ countries worldwide.

• Brown bag talks, team events, and more!

The Mapmaking team sits at the heart of HERE's mission to create the world's most accurate, up-to-date, and intelligent maps. We design and operate scalable pipelines for onboarding massive datasets from customers and partners, while developing and optimizing geospatial processing services that transform raw map inputs into high-quality, production-ready products. Our work spans innovation in AI, big data, and algorithmic evolution to advance how maps are processed, validated, and enriched, supporting both large-scale customer programs with premium automotive brands and multi-industry partners, as well as internal transformation initiatives.