Engineering Manager

* Lead, mentor, and develop the engineering team, foster ownership, accountability, collaboration, and continuous improvement. * Define and execute the team’s technical strategy and roadmap in alignment with product and business objectives. * Provide technical leadership across architecture, system design, scalability, performance, and reliability. * Lead the modernization of a large-scale platform, including refactoring, architectural improvements, and reducing technical debt. * Make pragmatic technical decisions that balance long-term architecture with business priorities and delivery needs. * Partner closely with Product, QA, DevOps, Design, and other technical teams to ensure effective collaboration and delivery. * Support planning, prioritization, and delivery of complex technical initiatives, managing dependencies, risks, and priorities. * Establish and maintain engineering standards, development practices, and technical quality standards. * Drive improvements in platform reliability, observability, monitoring, troubleshooting, and incident management. * Connect engineering decisions to measurable metrics. * Drive an AI-first engineering culture, embedding AI into the software development lifecycle and identifying opportunities to improve productivity, quality, and delivery.

* Proven experience as an Engineering Manager, Senior Engineering Manager, Tech Lead, Team Lead, or similar technical leadership role. * Experience leading, mentoring, and developing software engineering teams. * Strong people’s management, communication, and stakeholder management skills. * Strong understanding of software architecture, system design, scalability, performance, and reliability. * Experience with relational databases, large datasets, REST APIs, asynchronous communication, queues, and integrations. * Working knowledge of Docker, Kubernetes, CI/CD, and cloud environments. * Experience troubleshooting and supporting production systems. * Technical credibility and the ability to understand, challenge, and lead technical decisions across a large and evolving legacy technology landscape. * Comfortable leading engineers in an environment where AI is a fundamental part of the software development lifecycle. * Ability to connect technical decisions to business impact and drive change. * Curiosity and willingness to continuously explore emerging AI engineering tools and practices.

* Experience transforming monolithic systems into modular or microservice-based architectures. * Experience leading large-scale modernization initiatives.