Senior Principal Engineer
Chalice Custom AlgorithmsAbout the role
About Chalice
Chalice is revolutionizing advertising with platform-independent AI that drives real-world outcomes for brands and agencies. Our custom AI solutions unify marketing strategies across advertising channels to maximize ROI while maintaining full transparency and data privacy. Unlike traditional ad tech solutions, Chalice ensures that client data is never pooled or shared, and all algorithm outputs and insights remain fully transparent to our customers.
At Chalice, we're building a fast-moving, product-centric team that's transforming how advertising AI works in the real world.
Position Overview
We are seeking an exceptional Senior Principal Engineer to join our Engineering team. This role combines deep technical expertise in data engineering with leadership responsibilities in a high-impact environment. The ideal candidate will architect and build scalable systems that power our cutting-edge advertising AI platform while mentoring the next generation of engineers.
Key Responsibilities
Technical Leadership
Design and implement large-scale data engineering pipelines that process billions of ad events daily
Architect robust, high-performance systems using modern data stack technologies
Support the development of machine learning pipelines incorporating LLMs and generative AI for ad optimization and targeting
Drive technical decisions across multiple teams and projects
Establish engineering best practices and standards for the ad technology platform
System Development
Build and optimize data processing systems using Snowflake and Databricks/Spark
Develop high-performance backend services in Python and at least one systems programming language
Create scalable ETL/ELT pipelines for real-time and batch processing
Implement monitoring, alerting, and observability solutions for production systems
Ensure system reliability, performance, and security across all platforms
Project Leadership & Mentorship
Lead cross-functional projects from conception through delivery
Mentor junior and mid-level engineers, providing technical guidance and career development support
Collaborate with architects, product managers, data scientists, and other stakeholders to translate business requirements into technical solutions
Conduct code reviews and provide constructive feedback to maintain code quality
Present technical concepts and project updates to both technical and non-technical audiences
Required Qualifications
Technical Skills
Programming Languages: Expert-level proficiency in Python and at least one strongly typed, object-oriented language (Rust, C++, or Go)
Data Platforms: Hands-on experience with Snowflake for data warehousing and analytics
Big Data Processing: Proven experience with PySpark or Scala on Databricks/Apache Spark used for high-volume, streaming data processing
Data Engineering: Strong background in building and maintaining data pipelines, ETL processes, and data architecture
Container Technologies: Minimum 5 years of hands-on experience with Docker and Kubernetes, including AWS implementations (EKS, ECS, Fargate)
Cloud Platform: Required experience working in AWS environment with deep understanding of core services and best practices
Ad Technology: Deep understanding of programmatic advertising, RTB (Real-Time Bidding), DSPs, SSPs, or related ad tech systems
Preferred Qualifications
Machine Learning & AI: Experience building ML pipelines, particularly those involving LLMs, generative AI, or other advanced ML techniques
Advanced AWS Services: Experience with additional AWS services such as Lambda, Step Functions, EMR, Redshift, or SageMaker
Infrastructure as Code: Proficiency with Terraform, CloudFormation, or similar IaC tools
Streaming Data: Knowledge of real-time data processing frameworks (Kafka, Kinesis, Pulsar)
Database Technologies: Experience with both SQL and NoSQL databases
Experience & Leadership
Experience: 8-15 years of software engineering experience, with 10-12 years being the target range
Leadership
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