Interim Senior Backend Engineer (m/w/d) / AI Driven

• zeitnaher Start
• Herausforderung

FIRMENPROFIL:

Start: 01.10.
Project Duration: 4 months
Capacity: Full-time
Remote / On-site: Remote (preferred within European time zones)
Project Language: English

AUFGABENGEBIET:

Context : Our client is looking for an experienced Backend Engineer to join a cross-functional agile team and support the development of modern cloud-based software solutions. The role focuses on designing, building, and operating scalable backend services while collaborating closely with product owners, domain experts, and engineers to deliver high-quality, reliable applications in a production environment.

ANFORDERUNGSPROFIL:

Tasks :

• Design, develop, test, and maintain backend services for monitoring and controlling systems
• Contribute across the complete software development lifecycle, including requirements engineering, architecture, implementation, testing, deployment, operations, and continuous improvement.
• Collaborate closely with product owners and experts to translate business requirements into technical solutions.
• Ensure the reliability, performance, and scalability of software services running in production environments.
• Monitor and improve system health using observability and monitoring tools.
• Analyze user feedback and operational metrics to continuously optimize the product.
• Participate in agile ceremonies and contribute to technical decision-making.
• Support DevOps and cloud-related activities within AWS environments.
• Explore and apply modern software engineering practices, including AI-assisted development where beneficial.

VERGÜTUNGSPAKET:

Requirements :

• Hands-on experience as a Backend Developer or Software Engineer.
• Proven experience working in agile software development teams .
• Strong track record of building and operating production-grade backend services.
• Strong proficiency in Kafka, und Typscript
• Experience developing applications with TypeScript (using in backend)
• Solid understanding of software architecture, distributed systems, and API design.
• Practical experience with AWS cloud services .
• Strong knowledge of observability and monitoring tools , such as:
• Grafana
• Prometheus
• Cloud monitoring and logging solutions
• Experience with CI/CD pipelines and modern DevOps practices.
• Experience with AI-driven software development (Claude Code) and AI-assisted engineering practices