Lead Software Engineer (Java / Kafka) - Colombia

Responsibilities

• Ownership and delivery accountability
• Own the end-to-end delivery of system components. Take responsibility for quality, timelines and release readiness. Ensure commitments are realistic, visible and met. Escalate risks early and actively drive mitigation.
• System design contribution and implementation leadership
• Estimation, planning and risk management
• Break down ambiguous business requirements into clear technical work. Provide accurate estimations, plan execution across dependencies and continuously reassess risk. Adjust scope when necessary and communicate tradeoffs transparently.
• Engineering excellence and code ownership
• Set a high bar for code quality. Establish and reinforce development standards, perform thorough code reviews and guide the team toward maintainable solutions. Debug cross-service issues and lead resolution of complex production problems.
• Mentorship and team support
• Mentor and support less experienced engineers through technical guidance, feedback and pairing. Help the team grow by sharing knowledge and reinforcing strong engineering practices.
• AI-assisted engineering practices adoption
• Collaboration and cross-functional partnership
• Collaborate closely with project managers, architects and product stakeholders to align delivery with business goals. Participate in customer-facing technical discussions when needed and represent engineering decisions clearly.
• Team leadership and culture
• Lead by example in accountability, professionalism and ownership. Foster a culture of transparency, continuous improvement and shared responsibility.
• What you bring
• 8+ years of professional software engineering experience.
• Proven experience operating as a technical lead or development team leader.
• Expert knowledge of Java and Spring ecosystems.
• Experience building distributed systems and APIs (experience with GraphQL API is a must).
• Experience working with event-driven systems (experience with Kafka is a strong advantage).
• Experience with relational and NoSQL databases.
• Strong understanding of system design principles and architecture patterns.
• Hands-on experience debugging complex, cross-service issues.
• Ability to break down large initiatives into executable plans.
• Strong code review and quality ownership mindset.
• Experience working in collaborative, multi-team environments.
• Strong communication and stakeholder engagement skills.
• English level B2+.

Requirements

• Experience with React and TypeScript is a strong advantage.
• Exposure to agentic systems is a strong advantage.
• Experience with containerization and orchestration tools like Docker and Kubernetes is considered a strong advantage.
• Exp

Additional Information

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence . We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox , a premier AI and product development company, Solvd now offers true end-to-end delivery -from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Lead Software Engineer to join our team. The ideal candidate will have experience developing scalable distributed systems and APIs. About the project You will be working with a globally recognized e-commerce marketplace that serves millions of customers and sellers across multiple regions. The organization operates at massive scale, supporting high-traffic consumer platforms, complex transactional systems, and mission-critical services that must be reliable, secure, and continuously evolving. The customer is undertaking a strategic initiative to retire a legacy case management platform and replace it with a modern (built from scratch), scalable system built for long-term evolution and AI workloads. The initiative includes full data migration, preservation of business continuity and strict backward API compatibility to avoid disruption for existing integrations and clients.

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