Principal / software engineer data

Reports to: Head of ML Data Infrastructure

Department: AI Engineering Platform

FLSA Category: Exempt

Position Type: Full-Time, Mid-Senior Level

Travel Requirement: 0-10%, Quarterly for meetings

Office Location: Remote, US Based

JOB SUMMARY

We are seeking an experienced Principal/Senior Software Engineer, Data/ML Platform to define and lead the technical vision for our large-scale data and machine learning infrastructure. You will architect and build the systems that enable our teams to deliver intelligent, data-driven, and agentic AI products. This is a hands-on leadership role combining deep technical expertise with strategic impact across the organization.

Essential Functions & Key Responsibilities:

• Define and implement the data architecture and software systems that underpin our ML and
• AI platforms.
• Lead design and development of scalable data pipelines, APIs, and services enabling Data-as-a-Service for ML use cases.
• Architect real-time and batch data serving frameworks for training, inference, and feedback
• loops.
• Drive engineering excellence and platform scalability across distributed environments.
• Collaborate with AI Platform leadership, MLOps, and backend teams to shape long-term technical strategy.
• Mentor and guide senior engineers, establishing standards for design, testing, and deployment.
• Evaluate emerging technologies and tools to strengthen the platform’s reliability and
• performance.
• Champion best practices in software architecture, data quality, and performance optimization

Qualifications & Experience Requirements:

• Bachelor’s in Computer Science, Engineering, or related field (Master’s preferred).
• 7+ years of experience in software engineering, or ML/Data platform development.
• Expertise is preferred in Python, Java, and/or PySpark for distributed data and service
• development.
• Proven experience architecting cloud-native data and ML systems (preferably GCP +
• Databricks).
• Deep understanding of system design, data modeling, and distributed computing.
• Demonstrated leadership in scaling large, data-intensive systems and mentoring engineering
• teams.
• Excellent communication, technical leadership, and stakeholder management skills.
• Strong system design and architecture skills.
• Excellent debugging and troubleshooting abilities.
• Expertise with automated testing.
• Ability to thrive in a highly dynamic, fast-paced environment.

Why This Role Matters?

You will define the data foundation of our Agentic-AI platform, transforming raw information into a trusted, scalable data service that directly fuels brand growth solutions in MarTech and AdTech. Your work ensures our Application & ML engineers can build inference-as-a-service products faster, cheaper, and with higher accuracy.

PHYSICAL REQUIREMENTS/WORKING CONDITIONS:

Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person.

Climbing/Stooping/Kneeling: 0% - 10% of the time.

Lifting/Pulling/Pushing: 0% - 10% of the time.

Fingering/Grasping/Feeling: Must be able to write, type and use a telephone system 100% of the time.

Sitting: Sitting for prolonged and extended periods of time.

This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Management may revise duties as necessary without updating this job description.

For more information about the company, please visit our website:

Clarvos is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as veteran, disability or any other federal, state or local protected class.

Clarvos complies with federal and state disability laws and makes reasonable accommodation for applicants and employees with disabilities.

If you require reasonable accommodation in completing the application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected].