Staff Software Engineer, Realtime Data

Tecton; San Francisco (CA); Hybrid; USD 216,000 - 258,000; Full time

Job summary

An innovative company is seeking a Staff Software Engineer to join their Realtime Data team. This role involves developing high-performance infrastructure for AI inference and requires extensive experience in distributed systems and performance tuning. You will architect solutions to scale their serving platform and enhance query execution engines. With a hybrid work policy, this position offers flexibility while contributing to mission-critical applications. Join a forward-thinking team that values diversity and innovation, and be part of a company that is transforming data activation for smarter models.

Qualifications

• 7+ years in programming and performance tuning of distributed software systems.
• Strong infrastructure skills with experience in AWS or GCP.

Responsibilities

• Develop a clear technical vision to guide the team over the next 18 months.
• Architect solutions to scale the serving platform for millions of requests/sec.

Skills

Programming

Debugging

Performance Tuning

Distributed Systems

Database Query Engines

AWS

GCP

Low Latency Storage

Data Warehousing

Education

Degree in Computer Science

Degree in Software Engineering

Tools

DynamoDB

Redis

BigTable

Snowflake

BigQuery

S3

Job description

Join to apply for the 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

1. Develop and communicate a clear 18-month technical vision to align and guide the team
2. Architect and implement solutions to scale our serving platform to handle millions of requests/sec with low latency and high availability
3. Enhance Tecton’s query execution engine to support complex, multi-stage queries with user-defined DAGs
4. Build an integrated observability solution with logs, metrics, and traces for operational excellence
5. Deploy our serving infrastructure across multiple cloud platforms, ensuring security and data residency compliance
6. Assess and prioritize tasks with a focus on performance-critical areas

Qualifications

1. 7+ years in programming, debugging, and performance tuning of distributed or highly concurrent software systems
2. Degree in Computer Science, Software Engineering, or related field, or equivalent experience, with strong infrastructure skills
3. Experience with Database Query Engines
4. Experience with AWS or GCP
5. Experience with low latency online storage like DynamoDB, Redis, BigTable
6. 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 [e-mail].