FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Head of Software Engineering
Magna Legal Services. Lead Magna's software engineering organization across multiple products and lines of business .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive leadership in software engineering, with a focus on building high-performing teams, delivering complex software solutions, and ensuring compliance with security and regulatory standards. Proficient in modern software architecture, cloud technologies, and AI integration within the software development lifecycle.
Highest-signal resume keywords
Software Engineering LeadershipModern Software ArchitectureCloud PlatformsAI IntegrationRegulatory Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentAPIsDistributed SystemsCI/CDObservabilitySecurityProduction OperationsLegacy System ModernizationPerformance ManagementEngineering Budget Management
Soft Skills
Exceptional Communication SkillsOrganizational JudgmentTeam DevelopmentStakeholder EngagementProblem Solving
Tools & Technologies
Microsoft TechnologiesC#.NETAzureAI-Assisted Development ToolsAutomated TestingInfrastructure as CodeVendor ManagementPerformance MetricsIncident Response
Industry Keywords
HIPAASOC 2Regulatory ComplianceProfessional ServicesAcquisition IntegrationMulti-Business-Line EnvironmentsLegal ServicesPrivate-Equity-BackedClient Security AuditsSoftware Lifecycle Management
Tech Stack
Tools & technologiesAzureCloudDistributed Systems.NET
About the role
Key responsibilities & impact- Lead Magna's software engineering organization across multiple products and lines of business
- Develop and coach engineering managers, senior technical leaders, and individual contributors
- Assess and evolve organizational structure, team capacity, role clarity, and leadership coverage
- Own workforce planning, hiring, onboarding, performance management, succession planning, career development, engineering budget, and vendor and contractor relationships
- Translate company, product, and business-line priorities into engineering roadmaps, staffing plans, and execution commitments
- Establish operating cadences for planning, prioritization, estimation, delivery, release management, and executive reporting
- Improve predictability, speed, and transparency of software delivery while maintaining quality and risk controls
- Identify dependencies, resource constraints, delivery risks, and organizational blockers, and drive them to resolution
- Define and monitor engineering measures related to delivery, quality, reliability, security, and team health
- Ensure teams own software throughout its lifecycle, from definition and design through deployment, monitoring, support, incident response, and improvement
- Guide modernization of legacy applications and integration of acquired businesses and platforms
- Raise standards for design, code quality, automated testing, observability, documentation, maintainability, and production readiness
- Strengthen practices across APIs, cloud services, distributed systems, CI/CD, infrastructure as code, and secure software development
- Ensure compliance with security, privacy, and regulatory obligations, including HIPAA, SOC 2, and client security audits
- Partner with Product, Design, business, operations, go-to-market, and executive leaders
- Communicate plans, tradeoffs, risks, progress, and outcomes to executive and nontechnical stakeholders
- Advance responsible use of AI-assisted development tools
- Evaluate and deliver AI and large-language-model capabilities such as transcript summarization, deposition indexing, and medical record review
- Establish evaluation, security, privacy, reliability, human oversight, and monitoring discipline for AI-enabled features
- First-year goals include predictable planning and release cadence, clear organizational design, progress on Recordtrak and Maggie, and at least one AI-enabled capability in production
Requirements
What you’ll need- 12+ years of progressive software-engineering experience, including 5+ years leading multiple teams or product areas
- Demonstrated success building and leading high performing software engineering organizations, including managing managers
- Track record of delivering complex, business-critical software while improving execution discipline, quality, and predictability
- Strong understanding of modern software architecture, APIs, cloud platforms, distributed systems, CI/CD, observability, security, and production operations
- Experience modernizing legacy systems incrementally while continuing to meet active business and customer commitments
- Working knowledge of Microsoft technologies (C#, .NET, Azure), modern web, cloud, and data technologies
- Strong organizational judgment regarding team design, capacity, prioritization, and technical investment
- Exceptional written and verbal communication skills, with the ability to translate between technical, operational, and commercial audiences
- Ability to partner effectively with senior architects and principal-level technical experts while maintaining clear decision rights and accountability
- Bachelor's degree in computer science, engineering, or related field, or equivalent practical experience
- Preferred: experience delivering AI- or machine-learning-enabled products or integrating AI into the software-development lifecycle
- Preferred: experience building software subject to HIPAA, SOC 2, or similar regulatory and client security requirements
- Preferred: experience in multi-product, multi-business-line, professional service, legal services, private-equity-backed, or acquisition-oriented environments, including integrating acquired technology platforms and teams
Benefits
Comp & perks- Total compensation package includes salary range consideration based on education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, contractual agreements, and business or organizational needs
- Remote work arrangement within the United States
- Meaningful work and opportunities to grow careers