Engineering Lead, Payments & AI-Enabled SDLC

About the Company

Boost Payment Solutions is transforming B2B payments through secure, scalable, cloud-native platforms that support payment processing, payment facilitation, settlement, and enterprise payment workflows. Our technology powers mission-critical financial transactions where reliability, performance, security, and operational excellence are essential. As we continue to grow and expand our platform capabilities, we are investing in the next phase of Quality Engineering, automation, and responsible AI-assisted testing practices across the technology organization.

About the Role

We are seeking an experienced Engineering Lead to help shape the next stage of our payments technology platform and software delivery model. This is a hands-on role that combines active software development, technical leadership, team development, and AI-enabled software delivery. The ideal candidate will lead by example through code, strengthen engineering practices across a distributed team, mentor engineers, and help define practical, responsible AI-assisted and agentic SDLC practices across requirements, design, development, testing, code review, release readiness, and production support.

Responsibilities

• Lead and mentor engineers while coordinating effectively across distributed teams and multiple time zones
• Remain hands-on with coding, design, debugging, troubleshooting, and implementation while using those contributions to set quality standards and guide the team
• Model strong technical ownership by creating clarity, driving decisions, removing ambiguity, communicating proactively, and helping the team consistently deliver production-ready solutions
• Coach engineers through architecture, design, implementation, testing, code review, and production support while helping them grow in technical judgment and ownership
• Help size, decompose, and sequence engineering work, then coach the team to improve its own estimation, planning, and delivery confidence over time
• Design and build scalable, secure, cloud-native payments platform capabilities using Java, AWS, microservices, event-driven architecture, and serverless technologies
• Partner with engineering, product, architecture, DevOps, QA, and technology leadership to shape the technical roadmap for payments platforms, integrations, modernization efforts, and delivery practices
• Strengthen delivery and release practices through strong hands-on usage of Git branching methodologies, source control hygiene, Jira traceability, CI/CD collaboration, deployment readiness, and reliable production cutovers
• Champion AI-assisted and agentic SDLC practices, including spec-driven development, AI-supported requirements clarification, design documentation, code generation, test creation, code review, documentation automation, and release readiness
• Collaborate with QA and DevOps to shift quality earlier in the SDLC through test strategy, automation, observability, CI/CD practices, and production readiness reviews
• Contribute to secure, resilient, and reliable financial technology systems through strong engineering practices, root cause analysis, technical debt management, and continuous improvement

Required Qualifications

• 10+ years of software engineering experience, with strong Java experience and working knowledge of modern backend languages such as Node.js, Python, or JavaScript
• Strong hands-on coding ability with the expectation to contribute directly to design, development, debugging, and technical problem solving
• 5+ years in a technical leadership role leading distributed engineering teams and influencing delivery across multiple functions
• Demonstrated ability to model ownership through leadership by example, clear communication, practical decision-making, and strong technical judgment
• Experience mentoring engineers and improving team capability through design reviews, code reviews, pairing, engineering standards, and practical coaching
• Experience helping teams estimate, size, break down, and sequence technical work while improving their ability to plan independently
• Experience designing and operating cloud-native systems on AWS, including services such as Lambda, Step Functions, ECS/EKS, S3, RDS, and related platform services
• Strong understanding of microservices, event-driven architecture, serverless patterns, APIs, high-availability systems, and resilient transaction processing
• Experience in financial services, B2B payments, comm…