Senior DevSecOps Engineer - Remote

Overview

As Relyance AI’s Sr. DevSecOps Engineer, you will lead Cloud-Infrastructure components with high-availability, scalability, and reliability mindset. You are responsible for defining Service-Level Objectives (SLO) and Service-Level Indicators (SLI) for any microservice that runs in Relyance AI’s production environment.

In Short

• 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.

Requirements

• 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.

Benefits

• 4+ years experience leading an Engineering team.
• Experience with a privacy technology.
• Startup Experience.
• An advanced technical degree.