Senior Software Engineer

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 .

Position Overview

OurEngineering 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 impacton the product the company and our believe in using the right tools for each problem mentoring and learning through peer reviews and continuously improving how we build.

TheApplication 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 solutionsfrom frontend and API design to backend systems and databases.

The Role

We are looking for a Senior Software Engineer to join ourData Platformengineering team focused on building systems that ingest process and analyze network cloud telemetry such as flowand DNSlogs.

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 teams 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 packagethat 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.