Senior Manager of Software Engineering - Enterprise Technology

What you'll do

• Coach and oversee engineers and guide technical practices across multiple teams, including responsible adoption of AI-assisted development and SDLC automation.
• Design, build, test, deploy, and monitor Java/Spring Boot microservices and real-time data pipelines; improve their performance, scalability, cost efficiency, and reliability.
• Maintain engineering standards and support production operations through code reviews, technical debt remediation, incident response, documentation, and knowledge sharing.

What they ask for

• Formal training or certification in software engineering concepts and 5+ years of applied experience, plus 2+ years leading technologists.
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, with governance, outcome measurement, and secure handling of inputs and outputs.
• Expert-level Java proficiency; deep knowledge of Spring and AWS; hands-on experience with system design, application development, testing, and operational stability.
• Experience with distributed systems, microservices, AWS services, databases, event-driven systems, and modern SDLC, CI/CD, and DevOps practices.

Nice to have

• Python and data engineering experience, including exposure to Databricks or data infrastructure/reference data platforms.
• Experience with high-scale real-time data systems, data mesh, managed services, multi-region or disaster recovery; AWS certification is also preferred.

Pay

$152,000.00-$225,000.00 USD base salary

Tools

Java, Spring Boot, AWS, Kafka, Kinesis, Spark Structured Streaming, Databricks, Docker

AI focus

Leads adoption of enterprise-authorized AI-assisted engineering and SDLC/TLM automation, establishing governance, human-in-the-loop validation, quality gates, outcome measures, and secure handling of sensitive inputs and outputs.