Principal/Sr. Software Engineer, Data/ML Platform jobs in United States
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Clarvos · 1 day ago

Principal/Sr. Software Engineer, Data/ML Platform

Clarvos is seeking an experienced Principal/Senior Software Engineer for their Data/ML Platform to define and lead the technical vision for large-scale data and machine learning infrastructure. This hands-on leadership role combines deep technical expertise with strategic impact, focusing on architecting and building systems that enable intelligent, data-driven AI products.

Computer Software

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

Qualification

PythonCloud-native systemsData architectureJavaPySparkSystem designDistributed computingStakeholder managementDebuggingAutomated testingTechnical leadershipCommunication skills

Required

Bachelor's in Computer Science, Engineering, or related field
7+ years of experience in software engineering, or ML/Data platform development
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

Preferred

Master's degree in Computer Science, Engineering, or related field
Expertise in Python, Java, and/or PySpark for distributed data and service development
Proven experience architecting cloud-native data and ML systems (preferably GCP + Databricks)

Company

Clarvos

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AI-Driven Results Our unique ability to help our clients uncover what truly matters today and what will matter tomorrow enables them to make informed decisions that yield the highest returns.

Funding

Current Stage
Early Stage
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