Softblues

Description of project:

For our customer in the E-Mobility Sector we are looking for a Senior backend Developer 

Tasks:

• Development and optimization of distributed microservices based on Java/Spring Boot
• Ensuring scalability, performance, and reliability in a cloud environment (AWS/Kubernetes)
• Building and further developing robust API and integration layers (REST, messaging, e.g., RabbitMQ)
• Implementation of best practices in software quality, including automated testing, code reviews, and CI/CD
• Consulting the operations team with stable and maintainable backend components

• Contributing to the development of digital products in the e-mobility sector, particularly for:

  • Charging infrastructure
  • Billing & monitoring
  • System integration (e.g., via OCPP)

   

Qualifications:

• Profound experience Java/Spring Boot Developer
• Experience building and operating distributed, scalable cloud-based microservices in the context of AWS and PaaS (ideally Kubernetes)
• Strong experience in Java enterprise development in a Spring / Spring Boot environment incl. Spring Integration and Spring Cloud Contract
• Experience with REST API and JMS (ideally RabbitMQ)
• Experience with Maven, GitLab CI, as well as MariaDB (MySQL), DocumentDB and Redis
• Software quality assurance incl. test automation with JUnit, Spring Boot Test as well as load/performance testing
• Agile Mindset, experience with Scrum and ideally SAFe
• Nice-to-have: EV charging/CPMS domain knowledge, Charge Point communication protocols like OCPP
• Fluent in English

As a Data & AI Project Leader, you will bridge strategy and execution. You will lead multidisciplinary teams delivering modern data platforms and AI-powered products while working closely with clients and internal experts to translate ideas into scalable, production-grade solutions.

You will combine technical leadership, project delivery, and client collaboration to drive successful data and AI initiatives from concept to operation.

Your daily tasks will include

• Lead end-to-end delivery of Data & AI projects. Guide projects from discovery and solution design through implementation and production rollout, ensuring quality, reliability, and business impact.
• Bridge business goals with technical solutions. Work with clients and internal teams to translate business requirements into scalable data architectures and AI-driven capabilities.
• Coordinate multidisciplinary teams. Lead collaboration between data engineers, AI engineers, software engineers, and data scientists to deliver cohesive solutions.
• Shape the technical direction of projects. Contribute to architecture decisions across data platforms, analytics environments, and AI/ML systems.
• Drive project planning and delivery excellence. Manage scope, priorities, timelines, and risks while ensuring alignment with stakeholder expectations.
• Enable scalable data and AI capabilities. Support the design and implementation of modern data platforms, ML pipelines, and AI services deployed in cloud environments.
• Contribute to pre-sales and solution design. Participate in discovery workshops, technical scoping, and proposal development for new Data & AI initiatives.
• Promote engineering best practices. Ensure high standards for architecture, documentation, security, data governance, and operational excellence.

• Mentor and grow teams. Guide engineers and project members, fostering collaboration, technical excellence, and continuous learning.

   

What will make you succeed in this role

• Experience leading Data or AI projects. 5+ years working with data platforms, analytics solutions, or AI/ML systems, including experience coordinating teams or project delivery.
• Strong understanding of modern data architectures. Knowledge of data platforms, pipelines, lakehouse/warehouse architectures, and data governance principles.
• Familiarity with AI/ML ecosystems. Understanding of ML workflows, model lifecycle management, and modern AI capabilities such as LLMs, RAG systems, or AI agents.
• Cloud and platform experience. Hands-on exposure to cloud environments (Azure, AWS, or GCP) and data/AI technologies such as Databricks, MLflow, Airflow, or similar ecosystems.
• Delivery and stakeholder management skills. Ability to coordinate complex initiatives, manage priorities, and communicate effectively with both technical and business stakeholders.
• Strong collaboration mindset. You thrive in multidisciplinary environments and enjoy enabling others to succeed.
• Curiosity for emerging technologies. Interest in exploring new developments in AI, data engineering, and cloud technologies.
• Fluent English. Additional languages (such as German) are a plus.

What you can expect

• Working on impactful Data & AI projects across industries
• Collaborating with experienced engineers, data scientists, and architects
• Shaping modern data platforms and AI-powered applications
• Continuous learning and development opportunities
• Flexible working environment with strong team culture

For our customer in the e-mobility sector, we are looking for a Senior Solution Architect.

Responsibilities:

• Architecture & solution designs based on business requirements: Translate requirements into use cases, overarching data models, and system interfaces.

• Develop sustainable software solution architectures that balance performance, security, maintainability, cost-efficiency, and scalability.

• Define cloud infrastructure requirements in cooperation with DevOps, ensuring alignment with modern cloud-native best practices.

• Provide technical leadership to development teams: architectural guidance, architecture reviews, and decision facilitation.

• Evaluate and select appropriate technologies, frameworks, and tools.

• Provide architecture governance: ensure adherence to guidelines, compliance, and security standards.

• Coordinate architecture projects within the system landscape.

• Communicate complex technical concepts effectively to non-technical stakeholders.

• Cooperate with Sales for customer-specific solution and migration concepts, on demand.

Qualifications:

• Extensive experience as a Solution/Enterprise/Software Architect in distributed and cloud-native microservice landscapes, ideally AWS and Kubernetes.

• Proven track record in designing secure architectural solutions, including identity and access management, encryption, and compliance with industry security standards.

• Proven Java Enterprise / Spring development experience.

• Relevant architecture certifications in the field of architecture are a plus.

• Strong analytical mindset; understands complex technical interdependencies (including hardware–software communication).

• Comfortable in agile, ideally scaled agile (SAFe) environments.

• Fluent English; German is a plus.