Full-Time

Lead Devsecops Engineer

Posted on 8/30/2024

Relyance AI

Relyance AI

51-200 employees

Data protection and privacy compliance solutions

Enterprise Software
Cybersecurity
AI & Machine Learning

Compensation Overview

$170k - $200kAnnually

Senior, Expert

San Francisco, CA, USA

Hybrid position based in San Francisco, CA.

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Bash
Kubernetes
Python
Airflow
Git
BigQuery
Go
Terraform
Google Cloud Platform
Requirements
  • Strong CI/CD pipeline experience, including proficiency in tools like Github Actions
  • Deep understanding of CI/CD best practices and can effectively automate build, test, and deployment processes.
  • Track record of building scalable and multi-region (for high-availability) infrastructure components on public cloud-based platforms like Google Cloud Platform (GCP).
  • Comfortability with programming languages like Python, GoLang, and scripting languages like bash.
  • Comfortability with orchestration platforms like Kubernetes and Airflow.
  • Familiarity with Infrastructure-as-Code technologies like terraform.
  • Awareness of cloud-networking technologies like Virtual Private Cloud (VPC), subnets, firewall rules, network routing rules, network peering.
  • Proficiency with public cloud concepts and delivering working solutions on public cloud infrastructure, preferably GCP (BigQuery, BigTable, Pub/Sub, SecretManager).
  • Strong software engineering skills, and experience writing clear, concise, and maintainable code considering design principles and applying sound testing practices.
  • Systematic and goal-directed approach to project management; are comfortable dealing with ambiguity and ruthlessly prioritizing and managing your time with a sense of urgency.
Responsibilities
  • Advocating engineering best practices, code reviews and automated unit/end-to-end testing and deployment to stage and production systems.
  • Optimizing all cloud-based infrastructure environments to control overall costs.
  • Defining Service-Level Objectives (SLO) and track Service-Level Indicators (SLI) for all components running in a cloud-infrastructure environment.
  • Automating deployment of cloud-infrastructure components using Infrastructure-as-Code to deliver services at high velocity.
  • Designing and implementing a good observability and alerting framework for detecting any problems and avoiding downtime for Relyance AI’s customers.
  • Planning, architecting and building networking topologies to allow cloud-infrastructure components to securely communicate with each other.
  • Monitoring and resolving high, medium, and low vulnerabilities or threats detected in source-code and cloud-infrastructure within defined Service-Level Agreements timeframe.
  • Setting up policies and framework in cloud-based environment for secure access to production environment with least-privilege principle.
  • Shaping the direction of infrastructure at Relyance and building a cohesive team culture of ownership, growth, transparency, and customer focus.

Relyance AI focuses on data protection and privacy compliance by using machine learning to track personal data flows within organizations. Their software-as-a-service platform provides real-time monitoring and insights, helping clients in regulated industries understand where personal data resides and how it moves. Unlike competitors, Relyance AI emphasizes automation and accuracy, reducing manual workflows and compliance risks. The company's goal is to assist organizations in maintaining user trust and meeting regulatory requirements.

Company Stage

Series B

Total Funding

$60.3M

Headquarters

Mountain View, California

Founded

2020

Growth & Insights
Headcount

6 month growth

-8%

1 year growth

-6%

2 year growth

-9%
Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $32M in Series B funding, indicating strong market interest and growth potential.
  • Named a 2023 Gartner Cool Vendor in Privacy, highlighting industry recognition.
  • Launch of Asset Intelligence and Data Security Posture Management enhances real-time data visibility.

What critics are saying

  • Emerging competition from platforms like OneTrust and TrustArc could erode market share.
  • Rapid evolution of AI regulations may increase operational costs for compliance updates.
  • Complex data privacy laws across jurisdictions risk non-compliance in certain regions.

What makes Relyance AI unique

  • Relyance AI uses machine learning for real-time data flow mapping and inventory.
  • The platform offers code-level privacy compliance, enhancing data protection strategies.
  • Relyance AI integrates AI technologies with privacy compliance for automated data protection.

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