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Hearst

Senior Manager, Software Development

South San Francisco, CA, United States; South San FranciscoUnited States
Manager · Zynx Health, Inc
POSTED 5 NOVVERIFIED 6H AGO
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Pay · posted
$160k–180k
mkt median $175k
Open for
1d
closes ~9d here
Hiring · 30d
370
+36 net · open roles

Improve the Health of Your Career at Zynx Health

Join the team behind one of healthcare's leading clinical decision support solutions. At Zynx Health, we combine evidence-based clinical content, technology and analytics to help healthcare organizations improve patient outcomes, enhance safety and deliver higher-quality care.

Our success is fueled by talented people who are passionate about making a difference in the lives of patients and care providers. If you're looking for meaningful work in a collaborative, innovative environment where your contributions have measurable impact, Zynx Health could be the next step in your career.

The Opportunity

Zynx Health is seeking a Senior Manager, Software Development to lead software engineering execution across multiple development teams. In this role, the Senior Manager, Software Development will manage Software Development Leads and own software delivery, engineering quality, release readiness, resource planning, and cross-team coordination, partnering with product management, architecture, data platforms, security, compliance, QA, and business stakeholders.

The role offers the opportunity for a people-focused, delivery-oriented engineering leader to strengthen engineering consistency, improve development practices, mature release readiness, reduce technical debt, and support the responsible adoption of AI-assisted engineering tools.

Responsibilities

Software Engineering Leadership

  • Lead the overall software engineering organization through Software Development Leads
  • Manage, coach, and develop Software Development Leads, setting clear priorities, ownership, delivery expectations, and accountability
  • Provide leadership across multiple software development teams, workstreams, and technology platforms
  • Support team maturity, leadership development, performance management, onboarding, retention, and succession planning

Delivery Execution and Cross-Team Coordination

  • Own software delivery execution, sprint and release readiness, quality practices, resource planning, and cross-team dependency management
  • Translate product and technology priorities into clear team plans, delivery expectations, milestones, and execution priorities
  • Identify and communicate delivery risks, blockers, dependencies, staffing needs, operational concerns, and recommended actions
  • Partner with product management, architecture, data platforms, security, compliance, QA, and business stakeholders to align delivery execution with business and technology priorities

Engineering Standards and Development Practices

  • Establish and reinforce consistent engineering standards across teams, including maintainable design, code quality, documentation, testing, code review, release readiness, and operational readiness
  • Ensure Software Development Leads apply consistent development, CI/CD, operational support, and team-level DevOps practices within their teams
  • Promote reusable patterns, responsible modernization, automation, and technical-debt reduction while balancing speed, quality, security, and reliability
  • Define and monitor engineering metrics related to delivery predictability, quality, release readiness, operational health, and team effectiveness

Embedded DevOps and Operational Readiness

  • Provide governance and oversight for embedded DevOps practices across development teams
  • Ensure team-level DevOps execution aligns with organization-wide standards for CI/CD, deployment automation, observability, incident response, and operational support
  • Partner closely with the Senior Manager, Data Platforms & Architecture and the Senior Manager, Security & Compliance on platform, infrastructure, architecture, security, compliance, and operational initiatives
  • Support continuous improvement in release processes, deployment reliability, observability, and production support practices

AI-Assisted Engineering and Continuous Improvement

  • Establish expectations for responsible use of AI-assisted coding and engineering tools
  • Ensure AI-generated code, scripts, documentation, tests, automation, and technical recommendations are reviewed for quality, security, maintainability, and appropriateness
Source · HearstFirst seen 5 Nov2 editsOriginal ↗