Vice President of Software Engineering
About The Position
We are seeking an accomplished engineering leader to scale and mature a high-performance technology organization across multiple product lines and platforms. The ideal candidate is a strategic, hands-on leader who excels in building and guiding modern engineering teams, driving delivery excellence, and partnering cross-functionally to execute an ambitious product and technology roadmap. This role oversees multiple development squads and technical domains, ensuring quality, velocity, reliability, and innovation across the engineering portfolio. Job Description: Leadership & Strategy Lead, mentor, and scale multiple cross-functional engineering squads spanning diverse technologies, products, and regions Define and execute engineering strategy aligned to business and product goals Integrate AI-driven tools and methodologies to accelerate development cycles, enhance code quality, and optimize team productivity (e.g., AI-assisted code generation, automated testing, predictive analytics for risk and performance) Build a culture of high performance, accountability, continuous learning, and technical excellence Own engineering workforce planning, hiring, and career development pathways Champion modern engineering practices including Agile, DevSecOps, automation, and cloud-native delivery Execution & Delivery Drive delivery of complex multi-platform features and initiatives across squads, ensuring quality, predictability, and rapid time-to-value Establish engineering KPIs and performance metrics (including DORA / Agile delivery metrics, and AI utilization effectiveness metrics) Ensure successful execution of modernization, platform consolidation, and/or microservices initiatives where applicable Partner closely with Product, Architecture, DevOps/SRE, InfoSec, and QA to ensure cohesive execution and shared success metrics Technology & Architecture Provide architectural guidance and engineering governance across services, applications, and integrations Enforce scalable, secure, and maintainable engineering standards Advocate for and implement cloud-native, API-first, and high-availability architectures Promote adoption of AI-enhanced tools for architectural reviews, threat modeling, code optimization, and system design validation Drive continuous improvement in code quality, observability, reliability, and platform resilience Operational Excellence Enhance engineering processes, playbooks, and lifecycle maturity Ensure robust release engineering practices, CI/CD automation, AI-powered pipeline optimization, and infrastructure-as-code adoption Oversee vendor/partner engineering resources when applicable Manage engineering budgets, tooling investment, and resource allocation Transnetwork is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Thank you for your interest in a career with Transnetwork! We specialize in managing international payments, focusing on remittances and payment solutions across Latin America and the United States. Acting as an interconnected network, we connect financial institutions and retailers, ensuring secure, fast, and efficient cross-border transactions. Our mission is to enhance financial accessibility, offering seamless solutions that empower individuals and businesses in the region.
Responsibilities
- Lead, mentor, and scale multiple cross-functional engineering squads spanning diverse technologies, products, and regions
- Define and execute engineering strategy aligned to business and product goals
- Integrate AI-driven tools and methodologies to accelerate development cycles, enhance code quality, and optimize team productivity (e.g., AI-assisted code generation, automated testing, predictive analytics for risk and performance)
- Build a culture of high performance, accountability, continuous learning, and technical excellence
- Own engineering workforce planning, hiring, and career development pathways
- Champion modern engineering practices including Agile, DevSecOps, automation, and cloud-native delivery
- Drive delivery of complex multi-platform features and initiatives across squads, ensuring quality, predictability, and rapid time-to-value
- Establish engineering KPIs and performance metrics (including DORA / Agile delivery metrics, and AI utilization effectiveness metrics)
- Ensure successful execution of modernization, platform consolidation, and/or microservices initiatives where applicable
- Partner closely with Product, Architecture, DevOps/SRE, InfoSec, and QA to ensure cohesive execution and shared success metrics
- Provide architectural guidance and engineering governance across services, applications, and integrations
- Enforce scalable, secure, and maintainable engineering standards
- Advocate for and implement cloud-native, API-first, and high-availability architectures
- Promote adoption of AI-enhanced tools for architectural reviews, threat modeling, code optimization, and system design validation
- Drive continuous improvement in code quality, observability, reliability, and platform resilience
- Enhance engineering processes, playbooks, and lifecycle maturity
- Ensure robust release engineering practices, CI/CD automation, AI-powered pipeline optimization, and infrastructure-as-code adoption
- Oversee vendor/partner engineering resources when applicable
- Manage engineering budgets, tooling investment, and resource allocation
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What This Job Offers
Job Type
Full-time
Career Level
Executive
Education Level
No Education Listed
Number of Employees
101-250 employees
