Director - Software Engineering

Key Responsibilities:

• Define and evolve enterprise-grade architecture for data and application platforms
• Design and implement cloud-native, event-driven, and microservices-based architectures using Node.js
• Lead the design of data platforms and pipelines (streaming, batch, CDC, APIs)
• Establish reference architectures, design patterns, and reusable frameworks
• Ensure adherence to SOLID principles, clean code, and modular design
• Mentor engineers on design, Node.js, and data engineering best practices
• Manage a small team (5–10 engineers) while fostering technical growth
• Drive technology evaluations, proof-of-concepts, and long-term architectural planning
  

First 12 Months – Expected Impact:

• Establish architectural guardrails for Node.js services, APIs, and data pipelines
• Stabilize and optimize Node.js applications for performance and cost efficiency
• Define data platform standards (pipelines, orchestration, CDC, streaming)
• Mentor technical leads and engineers to raise the bar on system design
• Introduce observability standards (tracing, logging, metrics)
• Deliver key architectural blueprints for microservices and lakehouse models
• Shape the 3–5 year technical roadmap
  

Qualifications:

• 15+ years in software engineering, including 7+ years in architecture roles
• Strong expertise in Node.js, JavaScript, and TypeScript
• Mastery of SOLID principles, design patterns, and system refactoring
• Extensive experience with data pipelines, lakehouses, and streaming (Kafka, Pub/Sub, Event Hubs)
• Hands-on experience with CDC tools (Fivetran, Debezium) and orchestration frameworks (Airflow, Cloud Composer, Dagster)
• Cloud expertise in GCP (preferred), Azure, or AWS
• Knowledge of observability tools (OpenTelemetry, Cloud Trace), IAM, and security compliance (PII/PHI)
  

Preferred Qualities:

• Experience with data modeling, BI/analytics integration, and semantic layer design
• Exposure to healthcare, finance, or other regulated industries
• Familiarity with Team Topologies or scaled agile frameworks
• Thought leadership in AI/ML, LLMs, and data-driven applications
  

What We Offer:

• Influence and ownership over the technology strategy of a data-driven enterprise
• A culture that values technical depth, innovation, and autonomy
• Competitive compensation and benefits
• Growth opportunities in both technical architecture and organizational leadership