Principal Software Engineer - PA172

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.
• Use machine learning and LLMs to analyze behavioral data, classify content, extract signals, and support intelligent decisions.
• Build intelligent agents and LLM-powered workflows using frameworks such as LangGraph and MCP.
• Design and operate streaming and batch data pipelines with Kafka, Kinesis, and ClickHouse.
• Drive quality, performance, scalability, and observability for owned systems.
• Collaborate with product managers, data scientists, and engineers on customer-facing features and internal tooling.
• Provide technical leadership and mentorship to teammates.

Requirements

• At least 8 years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership.
• Strong experience in distributed systems engineering, big data infrastructure, or applied AI/ML involving LLMs.
• Proficiency in one or more of Java, Go, and Python.
• Strong SQL and large-scale data-modeling skills.
• Familiarity with 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 tools such as Copilot, Cursor, ChatGPT, or Claude in the development workflow.
• Experience in ad tech, real-time bidding, programmatic systems, identity resolution, attribution, or behavioral analytics is a bonus.
• Open-source contributions in ML, infrastructure, or data tooling are a bonus.

Benefits

• Comprehensive benefits and holistic mind, body, and lifestyle programs are offered.
• The position is listed as remote.
• Additional bonus, commission, equity, and other benefits may apply.