Beroe Inc

Lead Backend Engineer (m/f/x)

Berlin AI Campus, Munich
Tech Stack
PythonLambdaAWS API GatewayAWS DynamoDBS3EventBridgeAWS Step FunctionsAWS SQSAWS SNSAWS IoT CoreSQLNoSQLAWS CDKCloudFormationTerraform LLMDockerKubernetesCloudWatchDatadogELKPrometheusGrafanaGraphQLgRPCWebSocket
Language Requirements
English
Requirements
Lead Seniority
7+ years Experience
No Degree
Remote Policy

Hybrid

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.

Key Responsibilities:
Architecture & System Design
  • 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.
Backend & Cloud Engineering 
  • 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
Operational Excellence 
  • 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.
AI & Intelligent Systems Integration 
  • 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.
Leadership & Mentorship 
  • 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.
Requirements 
  • 7+ years of professional experience in backend software engineering. Strong expertise in Python and backend system design. 
  • Proven experience architecting and operating production systems within the AWS ecosystem. 
  • Deep understanding of serverless architectures and distributed systems. 
  • Strong experience with AWS services including Lambda, API Gateway, DynamoDB, S3, EventBridge, Step Functions, and related components. 
  • Demonstrated experience leading or mentoring engineering teams. • Strong knowledge of microservices, event-driven systems, and API design principles. 
  • Experience with both SQL and NoSQL database design and optimization.
  •  Hands-on experience with Infrastructure as Code (AWS CDK, CloudFormation, or Terraform). 
  • Strong understanding of security best practices in cloud-native environments. 
  • Experience working with Git-based workflows and modern CI/CD pipelines. 
  • Excellent problem-solving skills and ability to operate at system level. Strong written and verbal communication skills in English. 
  • Interest or practical experience in AI-enabled systems, LLM integration, or intelligent automation.
Bonus Qualifications 
  • Experience integrating LLMs, RAG pipelines, or AI-driven backend services. 
  •  Experience with containerization and orchestration (Docker, Kubernetes). 
  • Familiarity with observability tooling such as CloudWatch, Datadog, ELK, or Prometheus/Grafana. 
  •  Experience designing high-throughput, low-latency distributed systems. 
  • Knowledge of GraphQL, gRPC, or WebSocket-based architectures. Exposure to DevOps, SRE, or platform engineering practices.  Experience building enterprise-grade SaaS platforms.
At Beroe X nnamu GmbH, we prioritize a balanced work-life experience.

 Here’s what we offer you:
  • 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. 
This means: 
  • 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.  
Our Culture   
We are committed to fostering a collaborative, innovative and inclusive work environment where everyone’s ideas matter. We know that diverse teams lead to better outcomes and welcome applicants from all backgrounds.