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Senior Software Engineer
Vectra —Dublin, County Dublin
- Azure
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Senior Software Engineer

Vectra -
Dublin, County Dublin

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Job details

Benefits

Stock Options
Life insurance

Qualifications

Azure
Rust (programming language)
Data lake
Kubernetes
Engineering
Google Cloud Platform
AWS
Docker
Distributed systems
Terraform
REST
DNS
Contracts
Kafka
Communication skills
Python

Full job 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.

Position Overview

Our Engineering organization is a fast-growing team of collaborative, technically strong, and passionate problem solvers. We value creativity, ownership, and the drive to build meaningful technology that solves real-world security challenges. Every engineer has the opportunity to make a measurable impact—on the product, the company, and our culture. We believe in using the right tools for each problem, mentoring and learning through peer reviews, and continuously improving how we build.

The Application Data Platform team designs, builds, and maintains data-intensive applications that power customer-facing features across REST APIs and UI components. Python is our primary language, and we take pride in delivering end-to-end solutions—from frontend and API design to backend systems and databases.

The Role

We are looking for a Senior Software Engineer to join our Data Platform engineering team, focused on building systems that ingest, process, and analyze network cloud telemetry such as flow and DNS logs.

This is a high-impact, hands-on technical leadership role. You will design and scale distributed systems that power real-time detection, while influencing architecture, standards, and engineering practices across teams.

Key Responsibilities

Platform Architecture

Design and own the foundational data infrastructure — warehouses, lakehouses, and streaming systems — that enables data and analytics teams to operate at scale.
Architect scalable, reliable, and secure data platform solutions across cloud environments.
Lead platform-level architectural decisions and document trade-offs clearly.

Data Infrastructure & Pipelines

Provide platform for developers to build, deploy, and maintain ELT/ETL pipelines using modern orchestration tools.
Own data warehouse and data lake infrastructure; manage schema evolution, partitioning strategies, and performance tuning centrally.
Implement CDC (Change Data Capture) pipelines using Debezium or Kafka for real-time data movement.
Establish data contracts and schema registries to enforce data quality at the platform boundary.

Observability & Data Quality

Implement data observability to detect freshness, volume, and schema anomalies before they reach consumers.
Define and enforce SLAs for pipeline reliability, latency, and data freshness.
Build monitoring, alerting, and incident response runbooks for production data systems.

Security & Governance

Implement access controls, data classification, and secrets management across all platform components.
Ensure compliance with security frameworks (SOC 2, FedRAMP, or equivalent); remediate findings proactively.
Collaborate with security and governance teams to align data platform with enterprise standards.

Collaboration & Mentorship

Partner with analytics engineers, data scientists, and product managers to deliver high-quality data solutions.
Conduct code reviews and contribute to engineering standards documentation.
Guide and mentor junior engineers; raise the team's overall engineering bar.

Required Skills & Qualifications

Experience

5+ years working on production data platforms
Track record of owning and operating platform-level systems end-to-end

Cloud & Infrastructure

Hands-on Terraform (writing modules, state management, workspace isolation)
Docker and Kubernetes in production (multi-tenant, scaling distribution of workloads, autoscaling)
AWS (preferred), GCP, or Azure — compute, storage, networking, IAM

Data Stack

Cloud data warehouse: Delta lake, Iceberg
Streaming: Kafka, Flink, or Kinesis
Strong Python; Rust is a plus

Data Quality & Observability

Data contracts and schema registry experience (nice to have)
Data observability tooling (Monte Carlo, Soda, Great Expectations, or dbt tests) (nice to have)

Soft Skills

Can defend architectural trade-offs unprompted
Strong written communication and async collaboration
Ownership mentality — drives initiatives to completion independently
Ability to communicate trade-offs.

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.

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Refine Your Search

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