Lead Software Engineer - Cloud & Data Platforms (m/f/d)
What makes us special:
- Advance your career with exciting professional opportunities in our thriving company with an entrepreneurial and startup spirit
- Add to your experience with our projects that focus on growth, have a positive impact, and truly matter
- Voice your unique ideas in a corporate culture defined by openness and integrity
- Enjoy the opportunity to work from abroad (workation)
- Feel at home working with our helpful, enthusiastic colleagues who have great team spirit
- Broaden your perspective with our extensive training curriculum and learning programs (e.g. LinkedIn Learning)
- Speak your mind in our holistic feedback and development processes (e.g. 360-degree feedback)
- Satisfy your need for adventure with our opportunities to live and work abroad in one of our many international offices
- Enjoy our benefits, such as hybrid working, daycare allowance, corporate discounts, and wellbeing support (e.g. Headspace).
- Unwind in our break areas where you can help yourself to the healthy snacks and beverages provided
- See another side of your coworkers at our frequent employee events and highly anticipated World Meeting and Holiday Party
- Define and drive the technical roadmap for the dynamic pricing platform.
- Lead, mentor, and grow a cross-functional team of software engineers and data engineers.
- Champion engineering best practices, agile development, and DevOps culture.
- Architect a cloud-native, data-heavy pricing system on AWS with high reliability and scalability.
- Write clean, high-performance code in Java, PySpark/Spark and Python while setting coding standards for the team.
- Leverage modern AI-assisted development tools to accelerate software delivery, improve code quality, and continuously evolve engineering practices across the team.
- Oversee core modules for pricing algorithms, real-time data processing, analytics, and AI/ML-enabled components, turning advanced models into scalable, production-ready solutions. Ensure seamless integration of data pipelines, APIs, and third-party systems.
- Design systems capable of ingesting, transforming, and analyzing structured and unstructured datasets with PySpark/Spark.
- Optimize computation-heavy models and queries for low-latency, high-throughput pricing operations.
- Implement monitoring, alerting, and cost optimization strategies in AWS.
- Work closely with product managers, data scientists, and business stakeholders to align technology with business outcomes.
- Translate complex pricing or sales requirements into scalable, production-ready software.
- Ensure timely delivery of features with a balance of speed, quality, and technical debt management.
- You have a bachelor’s or master’s degree in Computer Science, Software Engineering, Business Information Systems, or a related field.
- Strong programming background in Java and / or Python, ideally demonstrated through relevant certifications.
- Proven experience designing and implementing enterprise level software.
- Deep knowledge of AWS (Certification) cloud services (e.g., EC2, S3, RDS, EMR, Lambda, ECS/EKS, Glue, Redshift).
- Proficiency in building APIs, microservices, and distributed systems.
- Understanding of data modeling, ETL pipelines, and high-performance computing.
- 5+ years of experience in software engineering, with at least 2+ years in a technical leadership role.
- Demonstrated ability to lead and inspire engineering teams, drive architectural decisions, and deliver complex software projects.
- Experience working with agile methodologies and CI/CD pipelines.
- Exposure to AI / machine learning algorithms applied to pricing or similar domains.
- Experience with or strong interest in AI-assisted software engineering and modern developer tooling.
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Experience in fintech, e-commerce, travel, or retail pricing systems.
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