Sr Manager of Software Engineering

Job Responsibilities

• Manage platform strategy and modernization (cloud-first, data-first), including AI enablement for efficiency, anomaly detection, and automation of controls.
• Champion engineering best practices for stream processing (Flink), microservices (Java/Python), API design, CI/CD, observability, and resiliency.
• Leads design of high-throughput, low-latency applications leveraging state-of-the-art machine learning architectures deployed on AWS.
• Ledesigns and develops secure, scalable microservices, and reviews and debugs code written by others.
• Executes creative software solutions across design, development, and technical troubleshooting, thinking beyond routine approaches to break down complex problems.
• Develops architecture and design artifacts for complex components and platform capabilities.
• Develops secure, high-quality production code and contributes to engineering best practices across the SDLC.
• Designs and implements near real-time streaming and event-driven processing using technologies such as Kafka, Kinesis, and Flink.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve operational stability, resiliency, and performance.
• Collaborates as part of a global and diverse team, partnering with users, product partners, and developers to gather requirements, design, implement, and support the platform.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
• Manage a team of 8-10 varying levels of Software Engineers and matrix across teams.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Build highly scalable Java based microservices-based applications.
• Practical cloud-native experience on AWS, including building high-throughput services using EKS, ECS/Fargate and S3.
• Hands-on experience in high-throughput, near real-time stream processing using Kafka, Kinesis, and Flink (on ECS/EKS where applicable).
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security best practices.
• Proficiency with source code control systems such as Git, Bitbucket, or SVN.
• Demonstrated proficiency in software applications and technical processes in one or more disciplines (e.g., cloud, AI/ML).
• Proficiency in automation and continuous delivery methods; strong understanding of the SDLC.

Preferred Qualifications, Capabilities, And Skills

• Hands-on experience in high-volume Flink processing.
• Experience with development/build tools and frameworks such as IntelliJ/Eclipse, Maven, Gradle, Spring Boot, Spring MVC, Spring Cloud.
• Experience with recommendation and personalization systems.
• Interest in and/or experience solving problems in the financial services domain.