Engineering Leadership

• Lead, mentor, and scale a 50-person engineering organization, growing 40% YoY across multiple product teams
  

• Own and drive engineering vision, roadmap, and execution cadence aligned with business objectives
  

• Own engineering delivery across products—predictable releases, high quality, minimal incidents
  

• Build and develop engineering managers and tech leads; create clear career progression paths
  

• Foster a culture of ownership, technical excellence, and continuous improvement
  

Technical Strategy

• Define and evolve system architecture to support 10x growth in data processing and customers
  

• Scale data infrastructure—Snowflake analytics, real-time event processing, caching layers
  

• Drive modernization initiatives, establish technical standards, code review practices, and architectural decision processes
  

Backend Systems

• Languages: Java 17, Python, Node.js
  

• Frameworks: Spring Boot 2.7.x/3.2.x, Spring Cloud, Express.js
  

• Databases: MySQL 8.0, MongoDB, Snowflake (analytics), Redis (caching), Elasticsearch (audit/search)
  

• Messaging: RabbitMQ, Apache Kafka, AWS SQS
  

• Scheduling: Apache Quartz for distributed job scheduling
  

Frontend & Client Applications

• Stack: React 18.2, TypeScript, Vite, Tailwind CSS
  

• Libraries: Material-UI, Ant Design, TanStack Query, FusionCharts, Recharts
  

• Platforms: Web applications, browser extensions (Chrome/Firefox)
  

Cloud & Infrastructure

• Providers: AWS, Azure, GCP with deep SDK integrations
  

• AWS Services: Cognito, SES, S3, SQS, Redshift, Organizations API
  

• Observability: Prometheus, Logstash, OpenTelemetry, PostHog
  

• DevOps: Docker, Kubernetes, Jenkins, GitLab CI/CD
  

Requirements

Experience

• 12+ years in software engineering with 5+ years leading engineering organizations of at least 30+ people
  

• Proven track record building and scaling enterprise SaaS platforms
  

• Deep experience with Java/Spring Boot microservices architectures at scale
  

• Hands-on background with cloud platforms (AWS required; Azure/GCP strongly preferred)
  

• Experience with data-intensive applications—analytics platforms, data warehouses, real-time processing
  

Technical Depth

• Strong understanding of distributed systems, event-driven architectures, and API design
  

• Experience with modern frontend stacks (React/TypeScript) and full-stack delivery
  

• Familiarity with FinOps, cloud cost optimization, or billing/financial systems is a significant plus
  

• Knowledge of Kubernetes operations and cost management highly valued
  

Leadership

• Demonstrated ability to build high-performing engineering teams and develop engineering leaders
  

• Experience managing multiple product teams with different technology stacks
  

• Track record of improving engineering processes, quality, and delivery predictability
  

• Strong communicator who can influence across functions and levels