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., 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.

Do you have experience in gRPC?, Do you have a Master's degree?, * 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.

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.

At Beroe x nnamu GmbH, we are committed to empowering procurement teams to make informed, strategic decisions that drive real impact. By integrating AI and game theory, our Software as a Service (SaaS) platform, nnamu.negotiations, delivers a groundbreaking approach to complex, yet autonomous negotiations. nnamu.negotiations delivers additional total-value-of-ownership savings efficiently and effectively for buyers with no prior knowledge of game theory required. By combining our world class proprietary AI with an unmatched, unique database of over EUR 400bn actual game theory project data we help clients uncover incremental value in their negotiations, driving outcomes that were previously out of reach. Beroe x nnamu GmbH is now a Beroe, Inc. group entity. Beroe is a global leader in procurement intelligence. Beroe has been on procurement's leading edge since the company's founding in 2006, bringing a world of insights forward. The unique combination of Beroe's expertise, AI tools, and vast amounts of reliable data enable organizations to make smarter, faster, better procurement decisions. Not tomorrow, not today, but now. Selected by ProcureTech as one of the "most pioneering Analytics, Data and Intelligence solutions in 2024", Beroe helps thousands of organizations sift through the data noise, mitigate risk, face fewer surprises, and ultimately gain a competitive edge. With nnamu's cutting-edge AI and Beroe's trusted market intelligence, we are unlocking game-changing possibilities for procurement teams worldwide The Challenge We are Solving Despite the proven potential of game theory to enhance negotiation outcomes significantly - potentially unlocking an incremental USD 1 Trillion of value - its application in business negotiations remains rare, inconsistent, and hard to scale. This gap presents a vast opportunity but also a challenge that many companies have yet to overcome. Beroe x nnamu GmbH is pioneering the use of AI-powered game theory to make complex negotiation strategies accessible, scalable, and incredibly effective for organizations worldwide.     If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.