Full stack Software Engineer AVP

Who we are looking for We are seeking a skilled full stack Software Engineer with deep hands-on engineering expertise and proven leadership experience building production-grade systems. The ideal candidate combines strong software engineering fundamentals, and can drive teams to deliver reliable, secure, and scalable financial products that create measurable business impact. In this role, you will own the end-to-end design and delivery of technology solutions—from problem framing and solution design to deployment, monitoring, and continuous improvement. You will lead & work with engineering & AI teams on architecture and implementation choices, establish best practices for software engineering , and ensure solutions meet performance, reliability, privacy, and compliance requirements while aligning with business strategy. What you will be responsible for ·        Lead end-to-end development of software application features and services from prototyping to production, aligned to clear product outcomes and KPIs. ·        Partner with product and ML/AI engineering teams to translate business problems into end-to-end solution approaches (build vs buy, data needs, evaluation strategy) and executable delivery plans. ·        Lead and scale high-performing engineering teams delivering multiple initiatives in parallel (AI-enabled applications, internal platforms, and developer tooling). ·        Promote automation and engineering excellence (CI/CD for ML, automated evaluation, red-teaming, monitoring/alerting, and cost/performance optimization) to improve quality and velocity. ·       Collaborate closely with product, data, security, legal/compliance, and global engineering teams to align on AI use cases, constraints, and delivery expectations. ·       Work with platform teams to ensure reusable components and consistent solution patterns across the portfolio. ·       Explore, evaluate, and introduce AI technologies where they add clear business value (models, frameworks, orchestration tools, data platforms), balancing performance, cost, and risk. ·       Continuously improve development lifecycle practices (data/versioning, evaluation, deployment, monitoring, incident response) and governance models. ·       Collaborate with team on troubleshooting, solution improvements. What we value ·        Strong sense of ownership and accountability for technology outcomes, production reliability, and risk management. ·        Ability to think strategically about new technology adoption while remaining hands-on when needed (design reviews, critical debugging, and technical decision making). ·        Pragmatic problem-solving skills with a focus on new technologies , iterating quickly with evidence, and delivering business value. ·        A collaborative mindset and the ability to influence across product, engineering, data, and risk/compliance stakeholders without relying on formal authority. Education & Preferred Qualifications ·        Bachelor’s degree or above in Computer Science, Software Engineering , or a related field (or equivalent practical experience). ·        7 + years of experience in software engineering, including significant leadership experience delivering financial systems in production at scale. ·        Strong software engineering fundamentals (distributed systems, APIs, data structures) and proficiency with modern software development stacks ( full stack: React/ Java/ Python ), including strong code quality practices. ·        Proven experience building and operating workloads on public cloud platforms (AWS/Azure/GCP), including scalable model training and low-latency inference deployment. ·        Solid experience with data platforms and pipelines (e.g., Databricks, Snowflake, Spark). ·        Deep understanding of modern engineering practices and MLOps (CI/CD, testing, experiment