Position Overview

Detecting attackers in real-time requires a high-performance suite of software that enables machine learning and statistical techniques. You will be joining a team focused on embracing the best of cloud native technologies and architecture focused on increasing development velocity, deployment predictability and system scalability.

You will be a technical leader that will bring years of professional experience with Kubernetes to help improve existing products and design and build new products and services. You will champion best practices and mentor less experienced engineers. You will shape and influence work practices whilst maintaining focus on the need to deliver customer value in an Agile manner. You will grow as an engineer and a leader, growing your impact on the business and your collaborators

Responsibilities

• Lead the design, development, and deployment of new Kubernetes services
• Mentor and coach other engineers
• Work with product managers to gather requirements and translate them into technical designs
• Work with platform engineers to ensure that services are deployed and managed in a production ready manner.
• Provide expert knowledge on the latest cloud technologies and trends
• Lead the effort to continuously improve Vectra’s cloud infrastructure
• Collaborate with peers to positively influence team roadmaps, developer experience, and overall product quality
• Take ownership of timely deliverables by delegating, holding accountable, and only sometimes closing gaps with personal contributions
• Contribute regularly to the code base
• Embody our values of Customer First, Integrity and No-Drama Teamwork

Requirements

• 10+ years' experience designing and building complex systems with a focus on distributed systems
• 3+ years’ experience with Kubernetes, AWS and Python
• Developed and deployed large scale distributed systems using Kubernetes
• A solid foundation in computer science, including algorithms, data structures, and concurrency
• Excellent problem-solving and debugging skills
• Excellent communication and interpersonal skills

Preferred

• Experience with microservices architecture
• Experience with cloud-based development tools and technologies
• Experience deploying services using terraform or helm
• Experience migrating services to the cloud
• Exposed to best practices for reliability of distributed systems

Education

• B.S or M.S or Ph.D. in Computer Science (or equivalent experience)

If you’re passionate about building and deploying large scale applications using Kubernetes and want to work with other talented engineers, we want to hear from you.