Principal Software Engineer at Vectra AI

Dublin, Leinster, Ireland -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Distributed Systems, Data Platforms, Python, Rust, Java, Go, ETL, Data Modeling, AWS, Azure, Cloud Databases, Infrastructure as Code, Security, Privacy, Compliance, Technical Leadership

Industry

Computer and Network Security

Description

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.

Responsibilities

Lead the design, development, and operation of the Cloud Ingestion Platform. Ensure efficient ingestion, normalization, and accessibility of high-volume data for advanced analytics and behavioral detections.