Engineering Manager

Role Overview This role focuses primarily on engineering leadership and team management (60%), while maintaining hands‑on involvement in solution architecture, technical design and key development initiatives (40%). You will build and lead high‑performing engineering teams, drive technical excellence, ensure successful product delivery and guide the architecture of our AI‑powered SaaS platforms in the RegTech, ESG, Sustainability and Financial Reporting domains. Key Responsibilities Engineering Leadership (60%) Lead, mentor and manage a team of software engineers. Drive sprint planning, project execution, prioritization and delivery. Conduct performance reviews, career development discussions and hiring activities. Collaborate with Product, Customer Success and Leadership teams to align engineering efforts with business goals. Establish engineering best practices, development standards and quality processes. Foster a culture of accountability, innovation, collaboration and continuous improvement. Technical Leadership & Architecture (40%) Define and review solution architecture for enterprise SaaS platforms. Participate in technical design discussions and architecture reviews. Guide the implementation of AI, LLM and automation capabilities across products. Conduct code reviews and provide technical mentorship. Support critical development initiatives and complex technical problem‑solving. Ensure scalability, security, performance and maintainability of applications. Required Skills & Experience 10+ years of overall software development experience. 6+ years of engineering leadership or people management experience. Strong hands‑on expertise in: Node.js Python FlaskAPI and/or FastAPI Angular or React Typescript, HTML, CSS AWS or Azure or equivalent Docker and Kubernetes System Design & Solution Architecture API Design and Distributed Systems MySQL and Database Design Linux Administration Preferred Experience Experience working in Enterprise SaaS, FinTech, RegTech, Compliance or other complex business domains. Regulatory, compliance, financial reporting or audit‑focused platforms. Solid understanding of API design, system architecture, database design and scalable applications. Experience building AI‑powered applications using: LLMs and NLP pipelines Prompt Engineering Structured Output Generation RAG (Retrieval‑Augmented Generation) LangChain and/or LlamaIndex Vector Databases (FAISS, ChromaDB, Pinecone, etc.) Embeddings and Retrieval Systems Machine Learning fundamentals Experience in: Experience conducting code reviews and mentoring engineers. Proven track record in hiring, coaching and performance management. Strong analytical, problem‑solving and stakeholder management skills. Experience working in remote or distributed teams. Multi‑tenant applications and complex data‑driven systems. Agile/Scrum development environments. Why Join Ez‑XBRL? Be part of a fast‑growing and innovation‑driven technology company. Opportunity to work on cutting‑edge solutions in regulatory, compliance, and digital reporting domains. Play a key leadership role in shaping products, engineering practices, and team growth. Collaborate with talented professionals in a highly entrepreneurial environment. Opportunity to drive innovation through emerging technologies, including AI and automation. Fully remote work environment with significant ownership and impact. #J-18808-Ljbffr