Lead Backend Engineer (m/f/x)

Your tasks

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, Dynamo DB, S3, Event Bridge, Step Functions, SQS, SNS, Io T 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.

Your profile

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, Dynamo DB, 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 Graph QL, g RPC, or Web Socket‑based architectures.

Exposure to Dev Ops, SRE, or platform engineering practices.

Experience building enterprise‑grade Saa S platforms.

Why us?

At Beroe X nnamu Gmb H, 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.

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