Job
- Level
- Lead
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will design scalable backend systems and lead the team in implementing modern cloud-native architectures while collaborating closely with various engineering teams.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- 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.
- Vertrautheit mit Observability-Tools wie CloudWatch, Datadog, ELK oder Prometheus/Grafana.
- Knowledge of GraphQL, gRPC, or WebSocket-based architectures.
- Exposure to DevOps, SRE, or platform engineering practices.
Experience
- 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.
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What we offer
- 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.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Beroe X nnamu GmbH
Beroe X nnamu GmbH, a subsidiary of the US-based Beroe Inc., is located in Berlin. It offers a SaaS platform called nnamu.negotiations that utilizes AI and game theory to enhance procurement negotiations. The company focuses on procurement intelligence for global purchasing processes.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Lead Backend Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
