Senior Manager of Software Engineering - Java/Cloud
Role details
Job location
Tech stack
Job description
- Manages platform strategy and modernization (cloud-first, data-first), including AI enablement for efficiency, anomaly detection, and automation of controls.
- Champions 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
- Designs and develops secure, scalable microservices, and reviews and debugs code written by others
- Creates 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
- Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
Requirements
- Formal training or certification on software engineering concepts.
- 2+ years of experience managing a team of of Software Engineers.
- 8+ years of hands-on practical experience delivering system design, application development, testing, and operational stability
- Experience building 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
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns., * Hands-on experience in high-volume APIs.
- Experience with Temporal
- Experience with Cockroach
- 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
Benefits & conditions
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.