Senior/Lead Software Engineer

Addepto is a leading AI consulting and data engineering company building scalable, ROI-focused AI solutions for large enterprises and pioneering startups. The company develops its own product, ContextClue, and contributes open-source solutions to the AI community. Addepto is part of KMS Technology, combining AI specialization with enterprise-scale delivery capabilities.

• At least 7+ years of commercial experience with Java development.
• Strong proficiency in Oracle database technologies including performance tuning and schema design.
• Extensive experience designing solutions for modern, cloud-native architectures and legacy systems.
• Hands-on experience with Microsoft Azure services including Compute, Networking, Storage, Application Gateway, and Cache for Redis.
• Practical experience with Kafka for event-driven architectures and traditional messaging systems like IBM MQ.
• Solid experience with Kubernetes for container deployment and management.
• Experience with WebLogic Server for enterprise Java applications deployment.
• Expert knowledge of Domain-Driven Design (DDD) principles and their practical application.
• Experience designing RESTful APIs and integration patterns.
• Exceptional analytical and problem-solving skills for distributed system troubleshooting.
• Excellent verbal and written communication skills.
• Proven ability to lead and influence technical teams and stakeholders.
• Fluent English (C1 level).

• Lead the design and development of end-to-end architectural solutions aligned with enterprise standards and business requirements.
• Provide technical leadership and guidance to development teams from conception to deployment.
• Evaluate and recommend technologies, tools, and platforms considering cost and long-term viability.
• Design and oversee integration of diverse systems including legacy platforms like WebLogic and IBM MQ and modern cloud services.
• Champion Domain-Driven Design principles for modular and maintainable solutions.
• Drive adoption and optimal utilization of Microsoft Azure services, ensuring scalability and security.
• Design and implement event streaming solutions with Kafka for asynchronous communication and real-time data.
• Leverage Kubernetes for container orchestration and microservices management.
• Define performance and scalability requirements and ensure architectural designs meet them.
• Create and maintain comprehensive architectural documentation.
• Mentor junior architects and developers to foster technical excellence.
• Effectively communicate technical concepts to technical and non-technical stakeholders.