✦ Luna Orbit — Software Engineering

Principal Software Engineer

at ZoomInfo

📍 Remote, US Remote 💰 $163K – $257K USD / year Posted March 17, 2026
Salary $163K – $257K USD / year
Type Full-Time
Experience lead
Exp. Years 9+ years
Education Not specified
Category Software Engineering

This role involves designing and implementing large-scale distributed systems and data pipelines supporting real-time marketing and AI applications.

  • Design distributed systems
  • Build data pipelines
  • Leverage AI/ML models
  • Collaborate with cross-functional teams
  • Drive system performance

Stack includes Java, Go, Python, Kafka, Kinesis, ClickHouse, DynamoDB, Bigtable, Memcached, Firehose, Airflow, Snowflake, with a focus on scalable, high-throughput data processing and AI/ML integration.

The ideal candidate is a lead software engineer with 9+ years of experience in distributed systems, big data infrastructure, and applied AI/ML, proficient in Java, Go, and Python, with strong leadership skills.

Distributed systems engineeringBig data infrastructureApplied AI/MLJavaGoPythonSQL
KafkaKinesisClickHouseDynamoDBBigtableMemcachedFirehoseAirflowSnowflakeLarge language modelsLLMs
KafkaKinesisClickHouseDynamoDBBigtableMemcachedFirehoseAirflowSnowflake
JavaGoPythonDistributed systemsAPIsMicroservicesKafkaKinesisClickHouseDynamoDBBigtableMemcachedFirehoseAirflowSnowflakeSQLMLLarge language modelsLLMs
JavaGoPythonDistributed systemsAPIsMicroservicesEvent processing pipelinesKafkaKinesisClickHouseDynamoDBBigtableMemcachedFirehoseAirflowSnowflakeSQLLarge-scale data modelingMLLarge language modelsLLMs
collaborationleadershipmentorshipproblem-solvingcommunication
Industry SaaS
Job Function Data & Infrastructure Engineering
Role Subtype Data Infrastructure Engineer
Tech Domains Java, Go, Python, Kafka, Kinesis, ClickHouse, DynamoDB, Bigtable, Memcached, Snowflake
distributed systemsbig data infrastructureapplied aimllarge language modelsllmsjavagopythonsqlkafkakinesisclickhousedynamodbbigtablememcachedfirehoseairflowsnowflakebig data

Less than 9 years of experience, Lack of expertise in distributed systems or big data, No experience with AI/ML or LLMs

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