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Full-Time

Devops Engineer

Confirmed live in the last 24 hours

Tecton

Tecton

51-200 employees

Machine learning feature platform with data pipelines

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning

Compensation Overview

$165k - $231kAnnually

Senior, Expert

Remote in USA

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Datadog
Kubernetes
Microsoft Azure
Python
AWS
Go
Terraform
Development Operations (DevOps)
Linux/Unix
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 is distinguished by its comprehensive platform that supports the intricate requirements of machine learning, with robust capabilities in automating and centralizing production-ready data pipelines across batch, streaming, and real-time data processing. This focus on advanced data handling and support for multiple technologies including SQL, PySpark, SnowPark, and Python, positions the company as a leader in the machine learning infrastructure space. Working here offers a dynamic environment where employees are at the forefront of technological advancements, contributing to developments that shape the future of machine learning applications.

Company Stage

Series C

Total Funding

$160M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights
Headcount

6 month growth

16%

1 year growth

15%

2 year growth

84%

Benefits

Comprehensive health plans

Remote-friendly work environment

Parental leave

Competitive salary, equity and 401(k) savings plans

Wellbeing benefits

Flexible PTO