Implement robust software systems using Java, Scala, Angular, and other modern technologies, ensuring best practices in SDLC, code quality, and performance.
Collaborate with business stakeholders, product owners, and cross-functional teams to define requirements, evaluate tools, and deliver innovative solutions aligned with business goals.
Contribute to the evaluation and adoption of new tools, frameworks, and AI-driven development practices (GenAI, Copilot, etc.) to enhance automation and reporting capabilities.
Mentor a high-performing team of engineers, fostering a culture of technical excellence, continuous learning, and innovation.
Promote agile methodologies, automated testing, and CI/CD pipelines for efficient and reliable software delivery.
Required Technical Skills:
8-15 years of experience in software engineering, with a strong background in full stack development (specifically in Java and Scala and related technologies)
Deep understanding of databases including Snowflake, data structures, and query languages
Deep understanding of algorithms, design patterns, and modern SDLC practices
Proven experience building and scaling enterprise-level applications, preferably in cloud environments
Demonstrated experience leveraging GenAI, Copilot, or AI/ML tools for software development, automation, or reporting
Strong problem-solving, analytical, and communication skills
Experience leading and motivating high-performing teams and managing stakeholder relationships in a global environment
Business acumen and prior exposure to finance, investment banking, or related domains
Additional Skills (Good to Have):
Proficiency in Python and ability to quickly learn new tech stacks as needed
Familiarity with Power BI, Apache Airflow, OLAP tools, and workflow automation
Experience with tool evaluation, POC delivery, and greenfield project leadership
Passion for innovation, continuous learning, and delivering business impact through technology
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