Principal Engineer

Posted 21 Days Ago
Be an Early Applicant
Dublin
In-Office
Senior level
Artificial Intelligence • Security • Cybersecurity
The Role
Lead the design and development of a Cloud Ingestion Platform, focusing on data collection, transformation, and analytics across cloud environments while ensuring high performance and scalability.
Summary Generated by Built In

Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.

The Vectra AI Platform delivers 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. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. 

About the Role 

We’re looking for an experienced Principal Software Engineer to lead the design, development, and operation of our Cloud Ingestion Platform, which powers data collection, transformation, analytics, and access across major cloud providers and cloud-native environments. You will play a key role in ensuring that high-volume, high-fidelity data from diverse sources is efficiently ingested, normalized, and made accessible for behavioral detections, investigations, and advanced analytics, while also maintaining the performance and scalability of our underlying data infrastructure.  

This role blends architectural leadership with hands-on technical depth. You’ll design systems that are secure, resilient, scalable, and cost effective, while mentoring teams and guiding the evolution of our cloud data ecosystem. 

Responsibilities 

  • Architect and implement scalable ingestion and transformation platforms in our cloud environment
  • Lead technical design for ETL systems that normalize diverse telemetry into clean, queryable data models
  • Manage and optimize cloud database infrastructure, including workload tuning, cost optimization, scaling strategies, and automation for high availability and resilience
  • Collaborate with data and infrastructure teams to implement observability, capacity planning, and proactive performance management
  • Build APIs and services enabling investigative workflows, including federated query capabilities
  • Ensure data integrity, security, and governance across cloud-native environments
  • Drive technical excellence through mentorship, design reviews, and architectural guidance
  • Evaluate and adopt emerging technologies in cloud data engineering, analytics, and infrastructure automation
  • Participate in on-call rotations and deploy highly available, production-grade services 

Qualifications 

Required: 

  • 10+ years of software engineering experience, with 5+ years in distributed systems or large-scale data platforms
  • Strong proficiency in Python, Rust, Java, or Go
  • Expertise in ETL, data modeling, and stream/batch processing frameworks
  • Deep hands-on experience with AWS, Azure, or other major cloud ecosystems
  • Proven ability to manage and optimize cloud databases (e.g., Snowflake, Trino, Delta Lake, Iceberg, RDS, or similar)
  • Expertise in workload optimization, scalability, and query performance tuning 
  • Experience deploying workloads using infrastructure as code (e.g., Terraform, CloudFormation, or Helm)
  • Track record of technical leadership, including mentorship and architectural ownership
  • Strong understanding of security, privacy, and compliance in cloud data environments 

Preferred: 

  • Experience managing data lakes and federated query engines (Trino, Presto or equivalent)
  • Passion for enabling customers to extract value from data we store on their behalf
  • Experience building microservices and APIs focused on customer lifecycle management, entitlements, and data acquisition
  • Familiarity with security telemetry (CloudTrail, O365, Azure Activity Logs, etc.)
  • Experience with observability frameworks (Prometheus, Grafana, Datadog, etc.)
  • Background in cybersecurity, threat detection, or security analytics
  • Contributions to open-source or cloud data infrastructure projects 

Education

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

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 varies by location, but commonly include health care 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.

Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. 

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. 

 

Top Skills

AWS
Azure
CloudFormation
Datadog
Delta Lake
Go
Grafana
Helm
Iceberg
Java
Prometheus
Python
Rds
Rust
Snowflake
Terraform
Trino
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The Company
Austin, TX
460 Employees
Year Founded: 2011

What We Do

Vectra® is the leader in threat detection and response – from cloud and data center workloads to user and IoT devices. Its Cognito® platform accelerates threat detection and investigation using AI to enrich network metadata it collects and stores with the right context to detect, hunt and investigate known and unknown threats in real time. Vectra offers four applications on the Cognito platform to address high-priority use cases. Cognito Stream™ sends security-enriched metadata to data lakes and SIEMs. Cognito Recall™ is a cloud-based application to store and investigate threats in enriched metadata. Cognito Detect™ uses AI to reveal and prioritize hidden and unknown attackers at speed. And Cognito Detect for Office 365 and Azure AD™ finds and stops attacks in enterprise SaaS applications and the Microsoft 365 ecosystem. For more information, visit vectra.ai.

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