Software Development Manager, Leo MAC, Leo

Description

Overview:

We are seeking a Software Development Manager to lead the team responsible for building and owning the MAC Analyzer and MAC feature automation framework. This role sits at the intersection of people leadership, automation, data analytics, and MAC domain expertise, with the goal of democratizing MAC-level diagnostics and ensuring robust automated validation of MAC features across releases.

Role

Summary:

As the SDM for this team, you will hire, develop, and lead a team of SDEs building the MAC Analyzer, a tool that leverages computational analysis against SDN and telemetry databases to systematically examine contacts, identify problem areas, and surface actionable insights. The tool will enable anyone across teams to run MAC-level diagnostics without requiring deep domain expertise, delivering more consistent and thorough analysis than manual methods allow.

You will also own the strategy and execution of the MAC feature automation framework to ensure all MAC features are continuously validated across releases with minimal manual intervention.

Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Key job responsibilities

People & Team Leadership

* Hire, mentor, and grow a high-performing team of SDEs focused on MAC analytics and automation

* Set technical direction and priorities, balancing short-term deliverables with long-term architectural investments

* Foster a culture of operational excellence, innovation, and continuous improvement

* Drive career development for team members, providing regular coaching and feedback

* Collaborate cross-functionally with MAC domain experts, release teams, and platform teams to align on roadmaps and dependencies

MAC Analytics

* Own the vision and delivery of the MAC Analyzer tool with ML-based anomaly detection and predictive capabilities, encoding experienced MAC engineer diagnostic methodologies into automated workflows that interface with SDN and telemetry databases

* Drive development of self-improving analytical pipelines that automate triage, root cause analysis, and reporting from raw telemetry data, trained on historical contact data and engineer patterns

* Ensure the team builds intuitive interfaces that make MAC diagnostics accessible to non-domain experts, continuously expanding coverage based on new failure modes and field observations

MAC Feature Automation

* Own the strategy and execution of an automated test framework covering MAC features (QoS, scheduling, grant handling, multicast, traffic shaping) integrated into the payload test framework and release qualification loop

* Drive automation of scenario-based testing for complex MAC configurations (simplex DL/UL combinations, MCS edge cases, burst handling) with traffic generation tools that replicate field conditions in lab environments

* Ensure the team delivers regression suites with comprehensive test coverage metrics, collaborating with the release team to ensure seamless integration into the release testing pipeline

Basic Qualifications

* 3+ years of engineering team management experience

* 10+ years of engineering experience

* Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations

* Experience partnering with product or program management teams

* 5+ years of industry experience with Telecom, Data Plane networking, distributed systems or similar

Preferred Qualifications

* Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy

* Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

* Experience with large scale machine learning systems such as profiling and…