Lead Software Engineer - Cloud & Data Platforms (m/w/x)
Spearheading design and development of pricing, sales, and marketing platforms on AWS. Enterprise-level software design and AWS cloud services expertise required. Hybrid work, flexible time, and workation options.
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Anforderungen
- Bachelor's or Master's degree in Computer Science, Software Engineering, Business Information Systems, or related field
- Strong programming background in Java and/or Python, ideally with certifications
- Proven experience designing and implementing enterprise-level software
- Deep knowledge of AWS cloud services (e.g., EC2, S3, RDS, EMR, Lambda, ECS/EKS, Glue, Redshift)
- Proficiency in backend development with TypeScript, including 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 technical leadership
- Ability to lead and inspire engineering teams, drive architectural decisions, and deliver complex software projects
- Experience 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
Aufgaben
- Spearhead design, development, and delivery of pricing, sales, and marketing platforms
- Lead a team to build data-intensive applications on AWS
- Set technical vision and guide architectural decisions
- Contribute directly to coding and solution design
- Mentor and develop your team
- Define and drive the technical roadmap for the dynamic pricing platform
- Lead, mentor, and grow a cross-functional team of software and data engineers
- Champion engineering best practices, agile development, and DevOps culture
- Architect a cloud-native, data-heavy pricing system on AWS
- Write clean, high-performance code in Java, PySpark/Spark, and Python
- Set coding standards for the team
- Leverage AI-assisted development tools to accelerate software delivery
- Improve code quality using AI-assisted development tools
- Continuously evolve engineering practices across the team using AI tools
- Oversee core modules for pricing algorithms, real-time data processing, analytics, and AI/ML components
- Turn advanced models into scalable, production-ready solutions
- Ensure seamless integration of data pipelines, APIs, and third-party systems
- Design systems for 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
- 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
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Hybrid working
- Flexible time
- Remote working
- Work from abroad
- Workation
- Opportunities to live and work abroad
- Training curriculum
- Learning programs
- Holistic feedback processes
- 360-degree feedback
- Daycare allowance
- Corporate discounts
- Wellbeing support
- Healthy snacks and beverages
- Employee events
- World Meeting
- Holiday Party
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