Principal Software Engineer

This is a hands-on technical leadership role requiring deep expertise in cloud-native architecture, distributed systems, orchestration frameworks, state-machine-driven workflows, and enterprise-grade reliability. As a Principal, you will define architectural direction, mentor teams, and ensure that the platform is engineered for scale, resilience, and long-term sustainability.

Qualifications:

• 12+ years of professional experience in software engineering with proficiency in .Net, C# and strong focus on distributed cloud systems.
• Deep expertise in Azure, Kubernetes, containerization, microservices, and cloud operations.
• Proven architectural leadership in large-scale ETL, orchestration frameworks, workflow engines, and distributed processing systems.
• Strong experience with event-driven architecture and messaging systems (e.g., Kafka, Service Bus, RabbitMQ).
• Strong grounding in reliability engineering: observability, tracing, metrics, logs, CI/CD, and operational automation.
• Good to have experience with large, complex engineering data workflows or digital twin technologies.
• Good to have experience with metadata-driven pipelines, schema evolution, and data governance.
• Good to have prior experience in a Principal Engineer, Staff Engineer, or Architect role with cross-team technical influence.

Responsibilities:

Architectural Leadership

• Evolve end-to-end architecture for cloud-based ETL workflows and engineering data synchronization.
• Architect event-driven systems using microservices, container orchestration, and state-machine-driven execution.
• Lead design of multi-tenant services optimized for global scale, performance, and cost-efficiency.
  
  

Cloud Platform & Distributed Systems

• Design cloud-native pipelines using Kubernetes, focusing on zero-downtime rollouts and secure configuration management.
• Implement distributed locking and conflict-resolution mechanisms for high-concurrency data sync.
• Ensure robust observability through distributed tracing, automated diagnostics, and structured logging.
  
  

Data & ETL Workflow Architecture

• Drive ETL design for engineering data, focusing on schema management, versioning, and domain-model mapping.
• Master workflow orchestration using engines like Temporal or Step Functions to ensure idempotency and transactional integrity.
  
  

Reliability, Resilience & Operational Excellence

• Define resilience strategies, including SLOs, self-healing workflows, circuit breakers, and failure isolation patterns.
• Champion operational health through architecture reviews, capacity planning, and cloud cost governance.
  
  

Technical Leadership & Mentorship

• Mentor senior engineers on distributed systems, cloud-native patterns, and engineering best practices.
• Align engineering execution with long-term platform vision by partnering with product and architecture leaders.