Software Development Mgmt 5

Experience: 15+ years in software engineering and distributed systems, with at least 4 years of experience managing high-performing engineering teams delivering platform-scale initiatives.

Core Technical Competencies (Software Engineering Focus):

Strong Software Foundations: Deep understanding of software engineering, system architecture, and scalable production applications (Algorithms, Data Structures, and System Design). Experience in the Java/J2EE ecosystem (Spring Boot, Microservices) and Python. We are looking for a leader who ensures their team writes clean, testable, and high-performance code, not just scripts.

Data as a Product: Experience managing or building the platforms / framework engines and APIs that power data movement, rather than just building the ETL/ELT pipelines themselves.

Data Lakehouse Mastery:

Deep understanding of Apache Iceberg, Hudi, or Delta Lake (metadata management, manifest files, and compaction strategies).

Experience managing teams contributing to or deeply customizing open-source data projects (e.g., Spark, dbt).

Cloud & Infrastructure:

Extensive experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and Azure.

Deep understanding of CI/CD automation, modern development tools, Git Actions, Terraform and frameworks.

AI-Driven Development & Productivity:

AI Native Development: Experience leveraging AI Code Gen platforms into the software development lifecycle (SDLC) to automate code generation, reviews, generate unit tests, and perform root-cause analysis of system failures.

LLM-Ops for Platform: Ability to guide the architecture of infrastructure required to support AI Agent development by enabling vector database integration.

Leadership & Vision:

Proven track record of driving adoption of new technologies across multiple autonomous teams.

Ability to communicate complex architectural trade-offs (e.g., "Latency vs. Consistency" or "Build vs. Buy") to C-suite executives and engineering teams alike.

Education:

Bachelor’s or Master’s degree in Computer Science (Distributed Systems focus) preferred, or equivalent deep industry experience.