Software Development Engineering Lead

🔥 3 hours ago

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SPD Technology

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2006

💳 Fintech

🤖 Artificial Intelligence

🤝 B2B

Fintech • Artificial Intelligence • B2B

SPD Technology is a global software product development company that delivers custom digital platforms, cloud and DevOps, AI/ML, and fintech/payment solutions. They specialize in application modernization, data analytics and engineering, system integration and APIs, security and quality engineering, and mobile/web UX/UI development. SPD works as a B2B partner for enterprise and growth-stage clients (notable customers cited include PitchBook and Poynt), focusing on building payment systems, billing and fraud-detection software, data platforms, and AI-enabled products for industries such as fintech, insurance, healthcare, and e-commerce.

📋 Description

• Lead technical delivery for complex data collection and processing workflows. • Own solution design, technical documentation, code quality, maintainability, operability, and production readiness. • Guide implementation of data ingestion, storage, validation, transformation, and provisioning capabilities. • Drive strong SDLC execution across refinement, design, estimation, implementation, testing, deployment, and support. • Improve team engineering productivity by adopting Gen AI coding tools and integrating them into practical SDLC workflows. • Promote effective use of Gen AI for code generation, test creation, refactoring, documentation, debugging, and delivery acceleration. • Establish engineering practices that balance AI-assisted development with code quality, security, maintainability, and human review. • Partner with Product, Data, Architecture, Platform, SRE, and other engineering teams to align scope, dependencies, and delivery plans. • Drive engineering practices such as code review, automated testing, observability, incident reduction, and CI/CD improvements. • Mentor engineers, support onboarding, distribute technical work, and help raise team performance. • Surface technical risks early and propose pragmatic mitigation options. • Contribute to hiring and help shape the technical capability of the team.

🎯 Requirements

• 5+ years of professional software development experience, with strong Java expertise. • Experience leading technical delivery or mentoring engineers in a backend/data platform team. • Strong knowledge of Spring/Spring Boot, microservices, distributed systems, API design, and relational databases. • Experience with Kafka or similar messaging/event-streaming technologies. • Practical experience with Kubernetes and production-grade service operations. • Strong ownership mindset with focus on reliability, scalability, maintainability, and long-term technical health. • Practical experience using Gen AI coding assistants to boost SDLC or strong interest in learning this skill. • Ability to define pragmatic engineering guardrails for AI-assisted development, including review, testing, and documentation expectations. • Ability to collaborate effectively with technical and non-technical stakeholders. • Strong problem-solving skills and ability to make sound technical decisions in complex domains. • English — Upper Intermediate or higher; Ukrainian — fluent.