Staff Software Engineer, Realtime Serving
Tecton helps companies unlock the full potential of their data for AI applications. The platform streamlines the complex process of preparing and delivering data to models. With Tecton, AI teams accelerate the development of smarter, more impactful AI applications.
Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
Tecton’s Realtime serving team builds high-performance online infrastructure that power AI inference at 100K+ QPS with millisecond latency. Our services have tight SLAs on availability and latency and are often used in mission-critical applications by enterprises.
This position is open to candidates based anywhere in the United States. You can work in one of our hub offices in San Francisco, New York City, Seattle or work fully remotely from outside those areas within the US.
Responsibilities
- Develop and communicate a clear 18-month technical vision to align the team and guide our development efforts
- Architect and implement solutions to scale our serving platform to handle millions of requests per second with low latency and high availability
- Evolve Tecton’s query execution engine to support complex, multi-stage queries with user-defined Directed Acyclic Graphs (DAGs)
- Build an integrated observability solution that provides an exceptional operational experience with logs, metrics, and traces
- Launch our serving infrastructure across multiple cloud platforms, ensuring compliance with security protocols and data residency requirements
- Assess and prioritize tasks, demonstrating a keen awareness of performance-critical areas
Qualifications
- 7+ years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent software systems
- Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience, with strong proficiency in building high throughput infrastructure
- Experience with Database Query Engines
- Experience with at least one of AWS, GCP
- Experience with low latency online storage like DynamoDB, Redis, and BigTable
- Experience with Data warehouses like Snowflake, BigQuery, Object Storage like S3
$216,000 - $258,000 a year
The estimated US base salary range for this position is $216,000 - $258,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.
Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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