Senior Software Engineer

Data Infrastructure

Confirmed live in the last 24 hours

51-200 employees

Website

AI quality solutions

Company Overview

TruEra is on a mission of helping people and machines make better decisions together. The company provides the first AI Quality platform, to help enterprises analyze machine learning, improve model quality and build trust.

AI & Machine Learning

B2B

Company Stage

Series B

Total Funding

$67.3M

Founded

2019

Headquarters

Redwood City, California

Growth & Insights

Headcount

6 month growth

↑ 0%

1 year growth

↓ -5%

2 year growth

↑ 63%

Locations

San Carlos, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

Apache Kafka

Data Structures & Algorithms

Docker

Java

Linux/Unix

Apache Flink

Kubernetes

Python

CategoriesNew

AI & Machine Learning

DevOps & Infrastructure

Software Engineering

Requirements

Someone who enjoys having significant ownership of features and systems and pursues results-driven development approaches consistent with pragmatism
Someone who builds systems that balance scalability, availability, and latency
An advocate for improving engineering efficiency, continuous deployment and automation tooling, monitoring solutions, and self-healing systems that enhance the developer experience
Good communication skills, mentoring, and a force-multiplying track record
Experience in building robust systems in production from the ground up
You have led and mentored others and care about the development of your teammates
You desire to learn and grow, push yourself and your team, share lessons with others, provide constructive and continuous feedback, and be receptive to feedback from others
BS in Computer Science or equivalent work experience
4+ years of proven track record in building and maintaining distributed data systems
Strong hands-on coding experience in Java, Python, or Go and comfortable diving into any new language or technology
Strong data infrastructure experience on-premise or Cloud Infrastructure
Experience with some or similar or all of Flink, OLAP Datastores, Presto, Spark, and familiarity with key/value databases, Kafka, and Kubernetes
Experience working with modern cloud-based microservice architectures

Responsibilities

Design and implementation of complex distributed systems to ingest large volumes of data and implement state-of-the-art complex algorithms
Design and build APIs around AI/ML observability product functionality
Partner with machine learning engineers, infrastructure engineers, and product managers to design, build, and release new products and features
Participate in early customer engagements and PoCs, and use that context to drive new product features
Review design and code, and make sure what we ship is awesome

Desired Qualifications

Experience building machine learning models or ecosystems
Experience with Linux and containers using Docker and Kubernetes is a big plus
Having been a part of an engineering team at an early-stage startup

About Truera

TruEra provides a full lifecycle observability platform to help enterprises analyze machine learning, improve model quality, track performance, and build trust. Powered by enterprise-class Artificial Intelligence (AI) Explainability technology based on six years of research at Carnegie Mellon University, TruEra’s platform helps eliminate the black box surrounding widely used AI and ML technologies. This visibility leads to higher quality, explainable models that achieve measurable business results, address unfair bias, and ensure governance and compliance.

We are excited about the amazing team we’re building at TruEra. One of the core cultural principles at TruEra is: “Create what’s not there.” We’re building a team of creator-builders who are excited about our mission and keen to build large-scale systems and drive cutting-edge research in support of it.

We are a rapidly growing Series B company funded by Greylock, Wing, and Menlo Ventures, and working with Fortune 100 customers and startups throughout the world!

About the job

As a Senior Software Engineer on the TruEra Data Infrastructure team, you will architect, build, and manage highly scalable distributed systems to power Observability and AI/ML Operations on our distributed data platform. We’re developing the platform for both public and private cloud environments with the container as first-class citizens. Infrastructure is at the core of our platform, and we’re constantly innovating to make our systems more performant, timely, efficient, and capable while maintaining high reliability. You’ll be working on our core data processing and ML infrastructure.

What You Will be Doing:

Design and implementation of complex distributed systems to ingest large volumes of data and implement state-of-the-art complex algorithms.
Design and build APIs around AI/ML observability product functionality.
Partner with machine learning engineers, infrastructure engineers, and product managers to design, build, and release new products and features.
Participate in early customer engagements and PoCs, and use that context to drive new product features
Review design and code, and make sure what we ship is awesome

Someone who enjoys having significant ownership of features and systems and pursues results-driven development approaches consistent with pragmatism.
Someone who builds systems that balance scalability, availability, and latency.
An advocate for improving engineering efficiency, continuous deployment and automation tooling, monitoring solutions, and self-healing systems that enhance the developer experience.
Good communication skills, mentoring, and a force-multiplying track record.
Experience in building robust systems in production from the ground up.
You have led and mentored others and care about the development of your teammates.
You desire to learn and grow, push yourself and your team, share lessons with others, provide constructive and continuous feedback, and be receptive to feedback from others.

Minimum Requirements:

BS in Computer Science or equivalent work experience
4+ years of proven track record in building and maintaining distributed data systems.
Strong hands-on coding experience in Java, Python, or Go and comfortable diving into any new language or technology.
Strong data infrastructure experience on-premise or Cloud Infrastructure
Experience with some or similar or all of Flink, OLAP Datastores, Presto, Spark, and familiarity with key/value databases, Kafka, and Kubernetes.
Experience working with modern cloud-based microservice architectures.

Nice-To-Haves:

Experience building machine learning models or ecosystems
Experience with Linux and containers using Docker and Kubernetes is a big plus.
Having been a part of an engineering team at an early-stage startup

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Truera are considered property of Truera and are not subject to payment of agency fees.