Lead Backend Engineer

Responsibilities

• Design, implement, and operate cloud-native AI/ML services that are secure, reliable, and cost-efficient ensuring that they meet the business objectives and adhere to service level agreements (SLA). 
• Deploy and maintainAI applications on cloud- architecture. 
• Build retrieval-augmented generation (RAG) stacks: embeddings, vector stores, chunking, and evaluation. 
• Create MLOps foundations: experiment tracking, model registry, CI/CD for data & models, and Infrastructure-as-Code.  
• Investigate new techniques, tools, and methods that might increase efficiency among engineering & technology and cloud teams, as well as leading execution processes of topics evaluated & planned for roll-out. 
• Collaborate with other technical leaders and business stakeholders to align all constraints and come up with solutions regarding project/product/initiative outputs. 
• Be accountable for the reliability and security of cloud infrastructure and services. 
• Provide visibility of performance, cost, and the security of cloud infrastructure and services. 
• Drive continuous improvement, continuous delivery, and lean practices within the cloud team. 
• Keep up to date on modern technologies and trends and advocate for their inclusion within products when it makes sense. 
• Identify emerging technology solutions that reduce costs, increase efficiencies, enhance capabilities, reduce risk and improve security. 
• Ensure that all cloud technology applications create a positive customer experience. 

Qualifications

• BS/MS degree in Computer Science, Engineering or a related subject.  
• Proven hands-on software engineering experience.  
• Strong experience in Java development.  
• Strong experience with Spring Framework, preferably Spring Boot.  
• Hands-on experience in designing and developing enterprise-grade backend applications.  
• Solid understanding of microservice architecture and distributed systems.  
• Experience with event-driven architecture and asynchronous integration patterns.  
• Strong knowledge of scalable, resilient and high-availability system design.  
• Solid understanding of object-oriented analysis and design using common design patterns.  
• Experience with RESTful APIs and backend integration patterns.  
• Experience leading highly skilled software engineers and supporting team growth.  
• Ability to coordinate effectively across multiple teams and stakeholders.  
• Strong communication skills in English, both written and spoken.  
• Team Lead and Agile Scrum experience is a strong plus.  
 

Preferred Qualifications

• Experience with containerized environments and CI/CD pipelines.  
• Experience with monitoring, logging and observability tools in distributed systems.  
• Familiarity with cloud-native architectures and modern backend infrastructure.  
• Experience in performance optimization, system reliability and production support.