Head of Software Engineering, NYC Based

Blinded Candidate Profile – VP of Software Engineering / Head of Engineering

Location: New York Experience: 15+ Years in Software Engineering & Technology Leadership

Compensation: $220,000 – $250,000 Base + Benefits

Work Authorization: U.S. Citizen

Availability: Onsite, Hybrid, or Fully Remote

Professional Summary

Accomplished Head of Engineering with 15+ years of experience leading global engineering teams, scaling enterprise SaaS platforms, and developing AI-powered products serving millions of users daily.

Proven track record managing engineering organizations ranging from 15 to several hundred engineers, delivering large-scale cloud solutions, and driving measurable business results.

Combines executive-level leadership with hands-on expertise in AWS, C#/.NET, Python, AI/ML, full-stack development, and cloud architecture.

Has led technology initiatives delivering $5M+ in annual customer savings, 40% infrastructure cost reductions, and significant improvements in engineering productivity and platform performance.

Key Qualifications

● 15+ years in software engineering and technology leadership.
● Led engineering organizations ranging from 15 to several hundred engineers.
● 10+ years of AWS experience, including cloud architecture, SaaS infrastructure, and serverless applications.
● 5+ years of AI/ML experience, developing and integrating AI-powered enterprise solutions.
● Approximately 5 years of hands-on C#/.NET full-stack development.
● Extensive experience with SaaS product engineering, architecture, product roadmaps, and delivery.
● Expertise in DevOps, CI/CD, Kubernetes, Docker, Terraform, and microservices.

Notable Achievements

AI Innovation & Business Impact

● Developed AI-powered platforms that reduced data-quality issues by 85%, improved analyst efficiency by 50%, and delivered $5M+ in annual customer savings.

● Led AI/ML monitoring solutions deployed across 500+ enterprise installations, preventing $5M+ in potential compliance violations.

● Contributed to AI technology initiatives associated with a major industry acquisition.
SaaS Scalability & Product Engineering

● Led engineering for three enterprise SaaS platforms serving millions of users daily, processing 5+ trillion data rows per day.

● Designed conversational AI solutions eliminating 40+ hours of manual reporting per executive monthly.

● Improved software delivery efficiency by 60% and application performance by 40% in a previous leadership role.
Engineering Leadership & Cloud Optimization

● Successfully scaled a startup engineering organization from 0 to 30 engineers.

● Reduced cloud infrastructure costs by 40% through AWS optimization, serverless architecture, and infrastructure automation.

● Built and led multidisciplinary engineering teams across AI/ML, DevOps, SRE, QA, and full-stack development.

● Implemented enterprise security frameworks covering PCI DSS, GDPR, HIPAA, and SOX.

Technical Expertise

Cloud & Infrastructure: AWS (EC2, RDS, S3, Lambda, API Gateway, IAM), Azure, GCP, Kubernetes, Docker, Terraform.
Software Development: C#/.NET, Python, Java, JavaScript, TypeScript, SQL, REST APIs, Microservices.
AI & Data: AI/ML, LLM Integration, Snowflake, Predictive Analytics, Data Engineering, AI Automation.
Leadership: Engineering Strategy, Product Delivery, Agile/Scrum, Budget Management, Engineering KPIs, Team Building, Technical Architecture.

Education

Degree in Computer Science

Reason for Considering a Move

Following the acquisition of his current organization and its shift toward consulting, the candidate is seeking an opportunity to focus on SaaS product development, AI innovation, and engineering leadership.