Principal Software Engineer
Leads the design and implementation of distributed advertising, identity, and intent systems processing billions of events in real time. The role requires deep backend, data infrastructure, or applied AI/ML experience, strong programming and data modeling skills, and technical leadership.
About the job
Responsibilities
- Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time.
- Develop high-performance APIs and services supporting advertising, identity, and intent features across the Marketing Platform.
- Apply machine learning and large language models (LLMs) to behavioral data for classification, signal extraction, and intelligent decision-making.
- Build intelligent agents using frameworks such as LangGraph or MCP.
- Design and operate streaming and batch data pipelines.
- Drive quality, performance, scalability, and observability across owned systems.
- Collaborate with product managers, data scientists, and engineers on customer-facing features and internal tooling.
- Provide technical leadership and mentorship.
Requirements
- 8+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership.
- Strong experience with distributed systems engineering, big data infrastructure, or applied AI/ML involving LLMs.
- Proficiency in one or more of Java, Go, or Python.
- Strong SQL and large-scale data modeling knowledge.
- Familiarity with databases and infrastructure tools including ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, and Snowflake.
- Experience designing LLM-powered systems such as RAG pipelines, agent frameworks, or intelligent workflows.
- Comfort using LLM-based development tools such as Copilot, Cursor, ChatGPT, or Claude.
Nice to Have
- Experience in ad tech, real-time bidding (RTB), or programmatic systems.
- Background in identity resolution, attribution, or behavioral analytics at scale.
- Open-source contributions in ML, infrastructure, or data tooling.
- Strong product instincts and a focus on meaningful customer outcomes.
Compensation and Benefits
- Base salary: $163,800–$257,400 USD.
- Comprehensive benefits and holistic mind, body, and lifestyle programs are offered.
- Additional compensation such as bonus, commission, and equity may apply.
Skills
Distributed Systems, Microservices, Event Processing, Machine Learning, LLMs, LangGraph, Kafka, Kinesis, ClickHouse, Java, Go, Python, SQL, Snowflake, Airflow
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