Cloud Data Platform Architect
Vectra is a leading company in AI-driven threat detection and response for hybrid and multi-cloud enterprises.
The Vectra AI Platform offers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks.
About this role
As a Senior Platform Engineer at Vectra, you will help drive the technical vision and delivery of features in our Application Data Platform. Our Application Data Platform is designed to provide a world-class developer experience for both internal developers and customers, empowering engineering teams and customers alike to build high-impact software projects for data platforms.
You will work closely with Application Data Platform leadership to build and deliver our technical roadmap. On any given day, you could be designing production-grade pipelines and systems, writing and deploying production-grade code, contributing to automated tests, or mentoring other engineers within the organization.
Responsibilities
• Designing and implementing production-grade data pipelines and systems
• Writing and deploying production-grade code on a daily basis
• Contributing to automated tests and other parts of end-to-end software delivery
• Collaborating with other teams and within the team with other engineers and product managers
• Mentoring and leading by example more junior engineers, breaking up tasks for them while leading end-to-end projects
Qualifications
• Required
• Bachelor of Science or Master of Science in Computer Science or similar or equivalent work experience
• 2+ years of experience as a Senior Engineer owning data production platforms
• Strong applied software development experience; you've built, shipped, monitored, broken, and fixed software applications
• Experience with real-time or near-real-time data processing, databases, and data management
• Experience with an object-oriented programming language (Python preferred)
• Strong fundamentals with data structures and algorithms
• Proficiency in Unix/Linux environments
• Experience with a source control system (git preferred)
• Experience with containerization or virtualization systems (Docker preferred)
• Experience with Kubernetes
• Experience with Cloud Providers (AWS preferred)
• Debugging experience
• Desirable
• Knowledge of networking, operating systems, security fundamentals
• Experience with a commonly-used observability tool such as Grafana or Prometheus
• Experience with Rust
• Experience as technical lead for a production-grade data pipeline
• Experience as a mentor to junior engineers
Salary: $165,000-$185,000 per year, depending on location and experience
Benefits: Vectra provides a comprehensive total rewards package that supports the financial, physical, mental, and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered vary by location, but commonly include healthcare insurance, income protection/life insurance, access to retirement savings plans, behavioral emotional wellness services, generous time away from work, and a comprehensive employee recognition program.
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The Vectra AI Platform offers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks.
About this role
As a Senior Platform Engineer at Vectra, you will help drive the technical vision and delivery of features in our Application Data Platform. Our Application Data Platform is designed to provide a world-class developer experience for both internal developers and customers, empowering engineering teams and customers alike to build high-impact software projects for data platforms.
You will work closely with Application Data Platform leadership to build and deliver our technical roadmap. On any given day, you could be designing production-grade pipelines and systems, writing and deploying production-grade code, contributing to automated tests, or mentoring other engineers within the organization.
Responsibilities
• Designing and implementing production-grade data pipelines and systems
• Writing and deploying production-grade code on a daily basis
• Contributing to automated tests and other parts of end-to-end software delivery
• Collaborating with other teams and within the team with other engineers and product managers
• Mentoring and leading by example more junior engineers, breaking up tasks for them while leading end-to-end projects
Qualifications
• Required
• Bachelor of Science or Master of Science in Computer Science or similar or equivalent work experience
• 2+ years of experience as a Senior Engineer owning data production platforms
• Strong applied software development experience; you've built, shipped, monitored, broken, and fixed software applications
• Experience with real-time or near-real-time data processing, databases, and data management
• Experience with an object-oriented programming language (Python preferred)
• Strong fundamentals with data structures and algorithms
• Proficiency in Unix/Linux environments
• Experience with a source control system (git preferred)
• Experience with containerization or virtualization systems (Docker preferred)
• Experience with Kubernetes
• Experience with Cloud Providers (AWS preferred)
• Debugging experience
• Desirable
• Knowledge of networking, operating systems, security fundamentals
• Experience with a commonly-used observability tool such as Grafana or Prometheus
• Experience with Rust
• Experience as technical lead for a production-grade data pipeline
• Experience as a mentor to junior engineers
Salary: $165,000-$185,000 per year, depending on location and experience
Benefits: Vectra provides a comprehensive total rewards package that supports the financial, physical, mental, and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered vary by location, but commonly include healthcare insurance, income protection/life insurance, access to retirement savings plans, behavioral emotional wellness services, generous time away from work, and a comprehensive employee recognition program.