Full-Time

Devops Engineer

Confirmed live in the last 24 hours

Tecton

Tecton

51-200 employees

Platform for managing machine learning features

Data & Analytics
AI & Machine Learning

Compensation Overview

$165k - $231kAnnually

Senior

Remote in USA

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Datadog
Kubernetes
Microsoft Azure
Python
AWS
Go
Prometheus
Terraform
Development Operations (DevOps)
Linux/Unix
Google Cloud Platform
Requirements
  • Engineer with 5+ years experience in DevOps, SRE, or Software Engineering
  • Experience with infrastructure-as-code tools such as Terraform
  • Fluent in one or more programming languages such as Python or Golang
  • Expertise in cloud providers such as AWS, Google Cloud, and/or Microsoft Azure
  • Experience building and troubleshooting robust and secure networks
  • Experience with microservices & container orchestration such as Kubernetes
  • Expertise in observability stack (Prometheus, ELK, Chronosphere, Datadog, etc.)
  • A passion for excellence and high developer productivity
  • Strong and effective verbal and written communication skills
  • In-depth experience with Linux systems administration and troubleshooting
Responsibilities
  • Own the complete lifecycle of Tecton’s cloud infrastructure development from design through automation, deployment, and operation
  • Engage with other engineering and solutions teams to build tools that will accelerate engineering and deployment efficiency
  • Develop and maintain infrastructure and tooling to monitor observability of Tecton health, availability, latency
  • Joint ownership building and managing Tecton’s CI/CD system to reliably deploy production components with a GitOps model; Including the multi-language, multi-platform Build System based on Bazel
  • Participate in an on-call rotation, triaging and addressing Tecton platform major incidents

Tecton offers a platform for managing machine learning (ML) features, which are key attributes used in ML models. Users can discover, utilize, and monitor feature pipelines while designing features using Python, SQL, or Spark. The platform supports real-time data processing, allowing for immediate analysis and updates. Tecton aims to simplify feature management for companies using ML and AI, making it easier for teams to collaborate and enhance their applications.

Company Stage

Series C

Total Funding

$155.6M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights
Headcount

6 month growth

6%

1 year growth

7%

2 year growth

66%
Simplify Jobs

Simplify's Take

What believers are saying

  • Tecton's recent $100M Series C funding round, led by prominent investors like Kleiner Perkins and Sequoia Capital, indicates strong financial backing and growth potential.
  • The partnership with Google Cloud opens up new avenues for enterprise adoption, making it easier for companies to integrate Tecton's platform into their existing workflows.
  • Tecton's focus on real-time data processing and complex transformations makes it a valuable asset for companies looking to leverage advanced ML capabilities.

What critics are saying

  • The competitive landscape in ML and AI is fierce, with giants like AWS and Azure potentially overshadowing Tecton's market presence.
  • High dependency on partnerships, such as with Google Cloud, could pose risks if these alliances were to dissolve.

What makes Tecton unique

  • Tecton specializes in end-to-end feature management for ML, a niche that is often overlooked by broader AI and ML platforms.
  • Their platform's ability to handle complex data transformations and real-time streaming sets them apart from competitors who may not offer such advanced capabilities.
  • Partnerships with industry giants like Google Cloud enhance Tecton's credibility and provide a robust ecosystem for their clients.

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Benefits

Comprehensive health plans

Remote-friendly work environment

Parental leave

Competitive salary, equity and 401(k) savings plans

Wellbeing benefits

Flexible PTO