Principal Software Engineer

About the Role

We are hiring multiple Principal Engineers across several technical domains, including:

• AI Enablement & Forward Deploy Engineering
• AI/ML & Semantic Intelligence Platforms
• Core Platform Engineering & Infrastructure

This is a highly technical leadership role for engineers who enjoy operating across architecture, implementation, systems design, mentoring, and technical strategy.

This is not a people-management-only position. Ideal candidates are still highly hands-on and actively writing production code.

You will help shape the technical direction of large-scale systems while mentoring engineers and solving highly ambiguous engineering challenges.

What You’ll Do

Depending on team alignment and background, responsibilities may include:

• Designing and building large-scale distributed systems and backend services
• Architecting cloud-native platforms and infrastructure
• Building AI-native applications, orchestration systems, and intelligent automation frameworks
• Developing scalable data pipelines and operational data systems
• Driving reliability, scalability, observability, and engineering best practices
• Partnering closely with Product, Data, Infrastructure, and AI/ML teams
• Mentoring engineers and helping elevate technical standards across the organization
• Leading technical direction through ambiguity and rapid growth
• Remaining deeply hands-on in implementation and architecture decisions

What We’re Looking For

Required Qualifications

• 10+ years of professional software engineering experience
• 4+ years operating at the Principal Engineer level or equivalent senior technical leadership role
• Strong hands-on coding ability and active engineering involvement
• Experience designing and operating large-scale distributed systems
• Deep architecture and system design expertise
• Strong backend engineering experience with Java and/or Python
• Experience with modern cloud-native infrastructure and platform architectures
• Strong communication, technical leadership, and mentorship skills
• Proven ability to thrive in fast-moving, ambiguous environments

Preferred Technical Backgrounds

We are especially interested in candidates with experience in one or more of the following areas:

• AI-native application development
• Agentic systems and orchestration frameworks
• Data engineering and large-scale processing systems
• Distributed backend systems
• Semantic intelligence platforms
• Infrastructure and platform engineering
• Reliability engineering and observability
• Spark, SQL, Python, Java, and cloud platforms such as Azure or AWS

Ideal Candidate Traits

• Builder mentality
• Strong ownership mindset
• High technical curiosity
• Pragmatic problem solver
• Comfortable challenging assumptions
• Passionate about mentoring and raising engineering standards
• Excited about practical applications of AI beyond simple chatbot experiences

Additional Details

• Competitive compensation package including base salary, bonus/equity potential, and benefits
• Collaborative, highly technical engineering culture
• In-office environment with close collaboration across teams
• Opportunity to influence architecture and technical direction at scale