Spectrum Equity

Key Responsibilities

· Lead global software engineering teams delivering high-impact, high-quality SaaS products built on modern cloud and microservice architectures

· Define and execute the technical strategy for modular application development, ensuring scalability, security, and long-term maintainability

· Champion AI-native software engineering practices that amplify quality, speed, and intelligence in the development lifecycle

· Partner with the Platform and Architecture teams to evolve system design, database architecture, and API contracts that enable cross-domain integration and transformation

· Guide teams in adopting event-driven architectures and distributed systems patterns aligned with business capabilities

· Apply design thinking and service design principles to connect technology decisions with user and business value

· Foster a collaborative, globally distributed engineering culture built on trust, learning, and continuous improvement

· Provide technical mentorship and career growth opportunities for engineers, emphasizing craftsmanship, discipline, and problem-solving

· Partner with Product and Data teams to deliver intelligent, data-rich applications that drive measurable business impact

· Represent engineering in executive forums, providing clear, pragmatic updates on progress, risks, and opportunities

· Ensure operational excellence through strong observability, performance, and security practices integrated into development workflows

· Promote flexibility in tooling and processes, empowering teams to select the best tools for their work within CINC’s engineering ecosystem

· Collaborate closely with other senior leaders to align on strategy, shared priorities, and long-term technical direction

Qualifications

Experience and Background

· 12+ years of software engineering experience including at least 5 years leading software engineering teams in a global organization

· Proven success building and scaling complex SaaS systems with microservice architectures, APIs, and distributed systems

· Deep technical understanding of backend systems, databases (SQL Server, Postgres, or similar), and API design principles

· Hands-on experience with event-driven architectures, message queues, and service integration patterns

· Demonstrated fluency in cloud-native design and experience working in AWS or similar environments

· Strong understanding of system and service design, architecture governance, and domain-driven design

· Knowledge of AI-native development workflows and practical experience integrating AI and automation into engineering systems

· Experience guiding modernization efforts and helping teams evolve from monolithic to modular systems while maintaining delivery velocity

· Familiarity with Agile and Extreme Programming (XP) practices including pairing, test-driven development, and continuous delivery

Leadership and Collaboration

· Proven ability to lead globally distributed teams with clarity, empathy, and accountability

· Excellent communicator, comfortable presenting technical and strategic topics to executive leadership and non-technical stakeholders

· Builder and connector who aligns teams around shared goals and creates the conditions for success

· Skilled at managing complexity with calmness and pragmatism, focusing on flow, quality, and learning

· Strategic collaborator capable of building influence across product, platform, and business functions

· Committed to developing and retaining top talent, upholding the philosophy of “best talent anywhere”

Mindset and Values

· Builder at heart who takes pride in the craft of software engineering

· Believes AI amplifies both strengths and weaknesses and that good fundamentals are the foundation of great outcomes

· Advocates for flexibility in ways of working, tooling, and team composition to achieve the best results

· Deeply customer-obsessed, focused on creating meaningful value through technology

· Calm under pressure, making deliberate and informed decisions in fast-moving environments

· Operates with humility, curiosity, and a growth mindset, modeling the traits of an ideal team player

What Success Looks Like

· Engineering teams deliver high-quality software quickly, safely, and predictably

· Systems evolve toward modular, event-driven, and AI-enabled architectures with measurable business impact

· Teams are engaged, autonomous, and aligned, reflecting a culture of trust, craftsmanship, and collaboration

· Architecture and design decisions are pragmatic, forward-looking, and consistently enable speed and learning

· The Director is recognized as a technical and cultural leader who connects strategy, people, and execution