Tecton
Staff Software Engineer, Realtime Data
Tecton, San Francisco, California, United States, 94199
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Staff Software Engineer, Realtime Data
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Tecton
At Tecton, we solve complex data problems in production machine learning. Our feature platform simplifies data activation for smarter models and predictions, abstracting complex engineering to accelerate innovation.
Founded by the creators of Uber’s Michelangelo ML platform, Tecton brings those capabilities to organizations worldwide. We are backed by Sequoia Capital, Andreessen Horowitz, Kleiner Perkins, Snowflake, and Databricks. Our distributed team has extensive experience in building and operating critical machine learning systems at leading tech firms.
The Realtime Data team develops high-performance online infrastructure supporting AI inference at over 100K QPS with millisecond latency, serving mission-critical enterprise applications.
This role is open to candidates near our hubs in San Francisco, New York City, and Seattle.
Responsibilities
Develop and communicate a clear 18-month technical vision to align and guide the team
Architect and implement solutions to scale our serving platform to handle millions of requests/sec with low latency and high availability
Enhance Tecton’s query execution engine to support complex, multi-stage queries with user-defined DAGs
Build an integrated observability solution with logs, metrics, and traces for operational excellence
Deploy our serving infrastructure across multiple cloud platforms, ensuring security and data residency compliance
Assess and prioritize tasks with a focus on performance-critical areas
Qualifications
7+ years in programming, debugging, and performance tuning of distributed or highly concurrent software systems
Degree in Computer Science, Software Engineering, or related field, or equivalent experience, with strong infrastructure skills
Experience with Database Query Engines
Experience with AWS or GCP
Experience with low latency online storage like DynamoDB, Redis, BigTable
Experience with data warehouses like Snowflake, BigQuery, or object storage like S3
The estimated US base salary range is $216,000 - $258,000 annually for employees in California & New York, with additional benefits and competitive equity. Compensation depends on various factors including location, skills, and experience.
Tecton is a remote-friendly company with a hybrid work policy for employees in SF, NY, and Seattle, requiring in-office presence at least two days per week or month as applicable.
We value diversity and are an equal opportunity employer. For accommodations or more info, contact us at recruitingteam@tecton.ai.
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Staff Software Engineer, Realtime Data
role at
Tecton
At Tecton, we solve complex data problems in production machine learning. Our feature platform simplifies data activation for smarter models and predictions, abstracting complex engineering to accelerate innovation.
Founded by the creators of Uber’s Michelangelo ML platform, Tecton brings those capabilities to organizations worldwide. We are backed by Sequoia Capital, Andreessen Horowitz, Kleiner Perkins, Snowflake, and Databricks. Our distributed team has extensive experience in building and operating critical machine learning systems at leading tech firms.
The Realtime Data team develops high-performance online infrastructure supporting AI inference at over 100K QPS with millisecond latency, serving mission-critical enterprise applications.
This role is open to candidates near our hubs in San Francisco, New York City, and Seattle.
Responsibilities
Develop and communicate a clear 18-month technical vision to align and guide the team
Architect and implement solutions to scale our serving platform to handle millions of requests/sec with low latency and high availability
Enhance Tecton’s query execution engine to support complex, multi-stage queries with user-defined DAGs
Build an integrated observability solution with logs, metrics, and traces for operational excellence
Deploy our serving infrastructure across multiple cloud platforms, ensuring security and data residency compliance
Assess and prioritize tasks with a focus on performance-critical areas
Qualifications
7+ years in programming, debugging, and performance tuning of distributed or highly concurrent software systems
Degree in Computer Science, Software Engineering, or related field, or equivalent experience, with strong infrastructure skills
Experience with Database Query Engines
Experience with AWS or GCP
Experience with low latency online storage like DynamoDB, Redis, BigTable
Experience with data warehouses like Snowflake, BigQuery, or object storage like S3
The estimated US base salary range is $216,000 - $258,000 annually for employees in California & New York, with additional benefits and competitive equity. Compensation depends on various factors including location, skills, and experience.
Tecton is a remote-friendly company with a hybrid work policy for employees in SF, NY, and Seattle, requiring in-office presence at least two days per week or month as applicable.
We value diversity and are an equal opportunity employer. For accommodations or more info, contact us at recruitingteam@tecton.ai.
#J-18808-Ljbffr