Principal Software Engineer

Description:

We’re seeking a Principal Software Engineer to lead the architectural evolution of our platform as we scale to meet growing demand from the world’s largest engineering companies. This is a hands-on technical leadership role where you’ll drive critical architectural initiatives while mentoring our engineering team. You’ll own — in conjunction with the VP of Engineering — the technical vision and execution of our platform’s evolution to a more distributed architecture, making it agentic ready for the next generation of AI applications.

In This Role, You Will
 

• Technical Leadership & Architecture
• Drive the ongoing transition from monolithic to distributed architecture.
• Design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations.
• Own technical decisions balancing immediate business needs with long-term architectural goals.
• Hands-On Development
• Write production-quality Python code for critical platform components.
• Build and optimize distributed compute services.
• Implement reliable workflow orchestration patterns.
• Team Mentorship & Collaboration
• Mentor mid-level developers, elevating the technical capabilities of the entire team.
• Establish engineering best practices and architectural patterns.
• Collaborate with product and business stakeholders to translate requirements into technical solutions.
• Guide technical decision-making and prioritization across the engineering organization.
• Interview and onboard new engineers.
   

Who You Are
 

• 12+ years of software engineering experience with at least 2 years in principal/staff engineering roles.
• Expert-level Python development skills with production experience at scale.
• Deep expertise in distributed systems architecture.
• Strong Kubernetes experience with production workloads.
• Hands-on experience with workflow orchestration tools (Temporal, Airflow, Kubeflow, or similar).
• Cloud platform expertise (AWS required, Azure & GCP beneficial).
• Experience with data processing frameworks (Spark, Athena, Ray, or similar).
• Experience with systems having ML Engineering and MLOps aspects.
• Proven track record of leading architectural transformations in growing companies.
• Excellence in technical communication and stakeholder management.