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Full-Time

Devsecops Engineer

Posted on 3/24/2024

Tecton

Tecton

51-200 employees

Machine learning feature platform with data pipelines

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning

Mid

San Francisco, CA, USA

Category
Cybersecurity
System Administration
IT & Security
Required Skills
Kubernetes
Python
Communications
AWS
Go
Terraform
Ansible
Development Operations (DevOps)
Requirements
  • 3+ years of experience in a security role
  • 1 - 3 years of experience in a vulnerability management program for a cloud-native, containerized environment
  • Experience with industry security frameworks such as NIST or CIS
  • Experience with infrastructure-as-code tools such as Terraform, Ansible, Puppet
  • Experience securing AWS services
  • Experience hardening Kubernetes deployments
  • Fluent in one or more programming languages, such as Python or Golang
  • Strong and effective verbal and written communication skills
Responsibilities
  • Work closely with Tecton’s DevOps team to implement security controls to satisfy CIS AWS and Kubernetes benchmarks
  • Define and implement security standards to secure Tecton’s SDLC
  • Assist DevOps team in improving Tecton’s Zero Trust access controls across cloud infrastructure
  • Assist in improving Tecton’s vulnerability management program
  • Triage emerging vulnerabilities and assess their impact on Tecton
  • Triage and manage vulnerability remediation submitted through Tecton’s vulnerability disclosure process
  • Assist Tecton’s DevOps team in creating a secure image pipeline for Tecton deployments

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

INACTIVE