Chalice Custom Algorithms-posted 3 months ago
$220,000 - $280,000/Yr
Full-time • Senior
11-50 employees

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. 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.

  • 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
  • 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
  • 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
  • Expert-level proficiency in Python and at least one strongly typed, object-oriented language (Rust, C++, or Go)
  • Hands-on experience with Snowflake for data warehousing and analytics
  • Proven experience with PySpark or Scala on Databricks/Apache Spark used for high-volume, streaming data processing
  • Strong background in building and maintaining data pipelines, ETL processes, and data architecture
  • Minimum 5 years of hands-on experience with Docker and Kubernetes, including AWS implementations (EKS, ECS, Fargate)
  • Required experience working in AWS environment with deep understanding of core services and best practices
  • Deep understanding of programmatic advertising, RTB (Real-Time Bidding), DSPs, SSPs, or related ad tech systems
  • Experience building ML pipelines, particularly those involving LLMs, generative AI, or other advanced ML techniques
  • Experience with additional AWS services such as Lambda, Step Functions, EMR, Redshift, or SageMaker
  • Proficiency with Terraform, CloudFormation, or similar IaC tools
  • Knowledge of real-time data processing frameworks (Kafka, Kinesis, Pulsar)
  • Experience with both SQL and NoSQL databases
  • Competitive compensation proportional to experience, with a target range of $220,000 - $280,000 for candidates with 10-12 years of experience
  • Significant equity package with high growth potential
  • Performance-based annual bonus
  • Comprehensive health, dental, and vision insurance
  • 401(k) with company matching
  • Flexible PTO and work-from-home options
  • Professional development budget for conferences, courses, and certifications
  • State-of-the-art equipment and technology stipend
  • Collaborative, innovation-focused work environment
  • Significant opportunities for career advancement, including potential progression to Engineering management positions
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