VP of Engineering

OnCorps AI

. Lead engineering execution, architecture, and operational delivery under the CPTO .

Posted 9/21/2026full-timeRemote • Massachusetts • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading engineering execution and architecture, with a strong focus on AI integration, cloud-native scalability, and data governance. Proven ability to build and mentor high-performing teams while ensuring compliance and operational excellence in a fast-paced environment.

Highest-signal resume keywords

Technical LeadershipAI-Enabled Engineering OrganizationCloud Infrastructure ManagementData Governance and ComplianceAgile Development Practices

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Applicant Tracking System Keywords

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Hard Skills

PythonNodeJSCloud-Native Containerized MicroservicesKubernetesMachine Learning Operations (MLOps)CI/CD Best PracticesData-Intensive SystemsAI-Assisted Development ToolsHigh-Availability SystemsEnterprise-Grade Technology Stack

Soft Skills

Strategic ThinkingExecutive CommunicationCross-Functional CollaborationMentoring and Team BuildingAccountability

Tools & Technologies

AWSAzureGCPObservability DashboardsMetrics and Performance Monitoring

Industry Keywords

Financial TechnologyEnterprise SoftwareSOC 2 ComplianceGDPR ComplianceCapital Markets

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetesMicroservicesNode.jsPythonGo

About the role

Key responsibilities & impact

Lead engineering execution, architecture, and operational delivery under the CPTO
Drive day-to-day software development, engineering operations, and delivery velocity across engineering teams
Translate strategic product roadmaps into predictable, high-quality engineering sprints and releases with Product Management and Program Management
Ensure engineering standards for agile development, release management, code quality, and cloud-native scalability
Set direction for platform evolution, AI integration, and client scalability with the CPTO and senior leadership
Monitor technology and regulatory trends across AI, data governance, and financial systems
Implement and scale coding agents, testing agents, and AI-assisted development tools
Establish metrics and observability dashboards for platform performance, CI/CD throughput, deployment frequency, and engineering velocity
Scale the SaaS architecture to support a growing client base and complex use cases
Ensure data governance, model transparency, and explainability across AI-driven products
Build and maintain a secure, scalable, high-performance platform
Partner with InfoSec on technical risk management, SOC 2 and GDPR compliance, and infrastructure reliability
Build, mentor, and scale Engineering and DevOps teams
Attract, hire, and retain technical talent
Cultivate technical excellence, accountability, and cross-functional collaboration
Collaborate with Implementation, Customer Success, and Go-to-Market teams on reliability, uptime, and client delivery standards
Engage enterprise clients and technical stakeholders on integration, architecture, and data management needs
Partner with the Head of AI on research, innovation, advanced AI capabilities, LLMOps, and agentic functionality

Requirements

What you’ll need

10+ years of progressive technical leadership experience, including 5+ years as a VP of Engineering, Director of Engineering, or equivalent in a financial technology or enterprise software company
Bachelor’s degree in Computer Science, Engineering, or related field required
Proven experience scaling an enterprise-grade technology stack, including cloud infrastructure, operations, DevOps, and CI/CD best practices
Deep understanding of data-intensive systems, machine learning operations (MLOps), and AI-driven agentic applications
Hands-on familiarity with Python, NodeJS, cloud-native containerized microservices (AWS/Azure/GCP), Kubernetes, and modern data pipelines
Experience designing and managing secure, compliant, and high-availability systems serving institutional clients
Proven success leading distributed teams and fostering engineering excellence in a high-growth, innovation-focused environment
Demonstrated ability to build and lead an AI-enabled engineering organization using AI-assisted development tools and workflows
Ability to think strategically and translate technology decisions into long-term business value
Ability to balance technical depth with executive communication and decision-making
Ability to collaborate across product, client, and commercial functions
Interest in applying AI and data science to transform legacy processes in capital markets
Commitment to scalability, reliability, engineering discipline, transparency, integrity, and responsible AI
Ability to translate complex concepts between technology, business, and customer stakeholders
Must be fluent in modern AI development workflows
Ability to build a fully AI-enabled engineering organization leveraging coding agents, testing agents, and AI-assisted development tools

Benefits

Comp & perks

Competitive compensation package
Comprehensive benefits
Professional development support