Lead Backend Engineer; m​/f​/x

Lead Software Engineer

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.

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, Event Bridge, Step Functions, SQS, SNS, IoT Core).
• Design robust data models across SQL and No
  
  SQL databases. Ensure system reliability, fault tolerance, and high availability in production environments.
• Implement Infrastructure as Code using AWS CDK, Cloud Formation, 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, Event Bridge, 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 No
  
  SQL database design and optimization.
• Hands-on experience with Infrastructure as Code (AWS CDK, Cloud Formation, 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 Cloud Watch, Datadog, ELK, or Prometheus/Grafana.
• Experience designing high-throughput, low-latency distributed systems.
• Knowledge of GraphQL, gRPC, or Web Socket-based architectures. Exposure to Dev Ops, SRE, or platform engineering practices. Experience building enterprise-grade SaaS platforms.

At Beroe X nnamu GmbH, we prioritize a…