Lead Backend Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle entwirfst du skalierbare Backend-Systeme und führst das Team bei der Implementierung von modernen, cloud-nativen Architekturen, während du enge Zusammenarbeit mit verschiedenen Engineering-Teams pflegst. Job Zusammenfassung In dieser Rolle entwirfst du skalierbare Backend-Systeme und führst das Team bei der Implementierung von modernen, cloud-nativen Architekturen, während du enge Zusammenarbeit mit verschiedenen Engineering-Teams pflegst. Deine Rolle im Team We are seeking an experienced Lead Software Engineer to own the technical architecture and backend strategy for our cloud-native platform. You will be responsible for designing scalable, secure, and high-performance systems while providing hands-on leadership to the engineering team. This role combines deep backend expertise with architectural vision and team leadership. You will define engineering standards, guide system design decisions, and ensure our AWS-based infrastructure is resilient, observable, and optimized for scale. You will work cross-functionally with frontend engineers, AI engineers, product managers, and customer-facing teams to deliver reliable, intelligent, and production-grade solutions. Own and evolve the backend architecture and cloud strategy. Design scalable, event-driven, and distributed systems using modern architectural patterns. Make high-impact technical decisions balancing scalability, performance, cost, and security. Establish and maintain architectural standards and documentation. Design, develop, and maintain secure APIs, services, and microservices in Python. Architect and implement serverless and cloud-native systems using AWS services (e.g., Lambda, API Gateway, DynamoDB, S3, EventBridge, Step Functions, SQS, SNS, IoT Core). Design robust data models across SQL and NoSQL databases. Ensure system reliability, fault tolerance, and high availability in production environments. Implement Infrastructure as Code using AWS CDK, CloudFormation, or Terraform. Establish strong observability practices (logging, monitoring, tracing, alerting). Optimize system performance and cloud cost efficiency. Improve CI/CD pipelines and deployment automation. Ensure high code quality through reviews, testing standards, and engineering best practices. Collaborate with AI engineers to integrate LLM-based workflows and intelligent automation into backend services. Design scalable orchestration patterns for AI-driven features. Promote responsible AI practices and production-grade model integration. Lead and mentor backend engineers, fostering technical excellence and accountability. Drive code reviews, design discussions, and architectural planning sessions. Contribute to hiring, onboarding, and team capability development. Act as a technical bridge between engineering, product, and business stakeholders. Unsere Erwartungen an dich Qualifikationen Strong expertise in Python and backend system design. Deep understanding of serverless architectures and distributed systems. Strong knowledge of microservices, event-driven systems, and API design principles. Strong understanding of security best practices in cloud-native environments. Excellent problem-solving skills and ability to operate at system level. Strong written and verbal communication skills in English. Familiarity with observability tooling such as CloudWatch, Datadog, ELK, or Prometheus/Grafana. Knowledge of GraphQL, gRPC, or WebSocket-based architectures. Exposure to DevOps, SRE, or platform engineering practices. Erfahrung 7+ years of professional experience in backend software engineering. Proven experience architecting and operating production systems within the AWS ecosystem. Strong experience with AWS services including Lambda, API Gateway, DynamoDB, S3, EventBridge, Step Functions, and related components. Demonstrated experience leading or mentoring engineering teams. Experience with both SQL and NoSQL database design and optimization. Hands-on experience with Infrastructure as Code (AWS CDK, CloudFormation, or Terraform). Experience working with Git-based workflows and modern CI/CD pipelines. Interest or practical experience in AI-enabled systems, LLM integration, or intelligent automation. Experience integrating LLMs, RAG pipelines, or AI-driven backend services. Experience with containerization and orchestration (Docker, Kubernetes). Experience designing high-throughput, low-latency distributed systems. Experience building enterprise-grade SaaS platforms. Unser Angebot 4-Day Work Week & up to 24 Days Paid Vacation - More time to recharge. Competitive Compensation - Fair salary and comprehensive benefits. Flexible Work Arrangements - Work the way that suits you. Professional Development - Access to training and certifications. Team Events - Bi-annual company events and quarterly lunch get-togethers. Work Abroad Flexibility - Remote work from the EU or selected non-EU countries for up to 8 weeks a year with travel insurance coverage. We operate on a hybrid model with offices in Berlin and Munich, offering a 32-hour, 4-day workweek. In-Office Collaboration: Work from the office two days a week. Manage Your Own Hours: Flexibility to work around your needs as long as team goals are met. Themen mit denen du dich im Job beschäftigst Cloud Computing AI Architecture Integrations Metadaten Level: Lead Job Feld: IT, DevOps, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Startup Branche: Internet, IT, Telekom Ort: Berlin | Deutschland

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