Senior Software Engineering Manager

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 .

We are looking for a Senior Software Engineering Manager to lead key areas of Vectras Platform engineering organization. The Platform team builds and operates foundational software infrastructure and tooling used by our products customers support teams and engineering teams.

This role is responsible for leading high-performing engineering teams that own critical platform capabilities across appliance software cloud infrastructure deployment systems operational tooling service reliability and developer experience. You will partner closely with Product Security Support SRE Cloud Detection and other engineering leaders to deliver reliable secure and scalable systems.

This is a senior management role for someone who can combine strong technical judgment operational discipline people leadership and cross-functional execution.

What Youll Do

• Lead and grow one or more engineering teams responsible for foundational platform capabilities.
• Provide direct management coaching career development and performance feedback for engineers and technical leads.
• Drive predictable delivery through clear planning ownership estimation Jira hygiene retrospectives and consistent follow-through.
• Partner with Product Management and engineering leadership to define priorities clarify requirements and make thoughtful tradeoffs.
• Participate in architecture discussions and guide technical direction across platform systems.
• Own operational excellence for team-owned services including reliability security incident response observability and root-cause follow-up.
• Improve platform services consumed by internal engineering teams and customer-facing products.
• Identify opportunities to improve engineering efficiency through AI-assisted development automation and better internal tooling.
• Encourage responsible use of AI tools for code understanding test generation documentation operational analysis and repetitive workflow automation.
• Partner with engineering leaders to evaluate where AI can reduce toil improve delivery predictability and help teams move faster without compromising quality security or maintainability.
• Ensure production deployments are fast reliable secure and well-supported by automation.
• Help define and mature service ownership operational scorecards and platform standards across teams.
• Partner with recruiting to hire onboard and retain strong engineering talent.
• Communicate clearly with senior leaders about progress risk delivery health and investment needs.

Platform Scope

Depending on organizational priorities this role may lead or influence work across:

• Appliance operating system ownership upgrades hardening packaging provisioning and migrations.
• Hardware and virtual appliance platform enablement.
• Cloud infrastructure across AWS Azure Kubernetes networking databases reliability operations and alerting.
• Device-to-cloud connectivity and customer lifecycle systems.
• CI/CD build systems release automation developer tooling and engineering workflow automation.
• Observability telemetry pipelines service health dashboards incident trends and operational reporting.
• Containerization standards runtime operations and secure deployment patterns.

Required Qualifications

• 5 years of engineering management or technical leadership experience including ownership of production software infrastructure or platform systems.
• Experience leading teams that deliver reliable secure and scalable software.
• Strong technical judgment with the ability to discuss architecture design code quality operations and delivery tradeoffs.
• Experience with modern software engineering practices including code review source control CI/CD automated testing release management and operational readiness.
• Strong Linux/Unix proficiency.
• Experience managing Agile delivery practices such as sprint planning retrospectives roadmap planning and project visibility.
• Ability to lead cross-team initiatives with complex dependencies and ambiguous ownership boundaries.
• Strong communication organizational decision-making and stakeholder management skills.
• Demonstrated ability to mentor motivate and grow engineers and technical leads.

Preferred Qualifications

• Hands-on experience with AWS Azure Kubernetes Docker Terraform GitHub Actions Jenkins Packer or similar platform tooling.
• Experience with Linux internals Debian packaging AppArmor cgroups networking iptables/nftables or OS-level security.
• Experience with Python Go C or systems/backend development.
• Experience operating production environments and improving reliability availability security and deployment safety.
• Experience applying AI-assisted tooling automation or developer productivity improvements to engineering workflows.
• Interest in using AI to improve software delivery operational insight documentation quality incident analysis or supportability.
• Experience with telemetry systems including metrics logs traces dashboards and alerting.
• Experience with appliance software virtual appliances customer-deployed infrastructure or hybrid cloud products.
• Knowledge of networking cybersecurity threat detection or security operations.

What Success Looks Like

Success in this role means the Platform team is a trusted partner across engineering: services have clear ownership teams ship safely and predictably operational issues are visible and acted on engineers are growing and platform investments make the broader product organization faster safer and more reliable.

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.