Application Development Lead

• Lead and oversee the design and development of high-performance green-field data analytics products for a Tier 1 bank, ensuring architectural excellence and alignment with business goals
• collaborate strategically with other dev leads in US and Canada, translating complex business requirements into technical roadmaps and fostering a partnership approach to deliver impactful solutions
• drive innovation within the team, encouraging the exploration and implementation of cutting-edge data visualization and analytics solutions
• mentor and guide team members in applying an engineering mindset, fostering deep understanding of use-cases, developing robust estimation techniques for volume and compute velocity, and openly addressing implementation limitations
• lead the evaluation and development of Proof-of-Concepts (POCs) for new strategic initiatives, guiding the team to convert successful prototypes into robust enterprise solutions
• foster a culture of continuous learning and growth within the team, empowering members to research, learn, and recommend emerging technologies
• provide leadership and strategic direction for post-release support, collaborating closely with business, development, and support groups to ensure operational stability and client satisfaction
• manage team performance, including goal setting, performance reviews, career development, and providing regular feedback to foster professional growth
• participate in hiring processes, attracting, interviewing, and onboarding top talent to grow the team's capabilities
• facilitate effective communication within the team and across different stakeholders, ensuring transparency and alignment.

• 10+ years of demonstrable and relevant experience in software development, with at least 3-5 years in a leadership role within a high-performing technical team
• strong understanding of Java and/or Python 3.6, with the ability to guide and review complex solutions
• solid understanding of REST API development, including best practices for design, security, and scalability
• demonstrable experience in driving the creation of reusable, testable, and efficient code with proper error and exception handling, and establishing coding standards
• extensive experience with the design and implementation of cloud-native applications and deployment via Kubernetes / Openshift, including strategic decision-making on cloud architecture
• expertise in big data computation platforms (Flink, Spark, Apache Beam) or big data distribution platforms (Hadoop, Druid, Pinot, Trino, Ignite), and a track record of leading teams leveraging these technologies
• hands-on experience in handling various data structures, and the ability to guide complex data modeling decisions
• proven leadership in establishing and maturing Continuous Integration and Continuous Delivery environments
• familiarity with TeamCity, Sonarqube, and Jenkins
• extensive experience with the SDLC lifecycle and in leading and coaching within an Agile environment (Scrum/Kanban)
• demonstrable leadership in promoting and enforcing engineering best practices: design patterns, coding standards, rigorous code review processes, and comprehensive unit testing strategies (e.g., Mockito, Junit, Pytest)
• deep understanding of Agile software development methodologies and strong experience in driving adoption and optimization of standard CI tools (Jenkins, TeamCity, Sonarqube, git)
• exceptional leadership, communication (oral and written), and interpersonal skills, with a proven ability to motivate, inspire, and develop diverse technical teams
• strong ability to build and nurture influential relationships with senior stakeholders, peers, and business partners across the organization
• self-motivated, highly organized, and results-oriented, with a strong determination to achieve team goals and the ability to empower autonomous work
• flexible and adaptable leader with a track record of successfully guiding teams to deliver high-quality results within demanding timelines
• demonstrated experience in performance management, career development, and conflict resolution within a technical team.

Ideally, a foundational understanding of financial derivatives (rates or other) or a strong willingness to rapidly learn and apply knowledge in this domain.