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Vectra

AI-driven network detection and response platform

Senior Software Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeAustin, TX, USAIn-person

About the Job

Requirements

  • At least 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 and ability to discuss architecture, design, code quality, operations, and delivery tradeoffs.
  • Experience with code review, source control, continuous integration and continuous delivery, automated testing, release management, and operational readiness.
  • Strong Linux/Unix proficiency.
  • Experience managing Agile delivery practices, including 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.

Responsibilities

  • 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 progress, risk, delivery health, and investment needs to senior leaders.
  • Lead or influence appliance operating system ownership, upgrades, hardening, packaging, provisioning, and migrations, depending on organizational priorities.
  • Lead or influence hardware and virtual appliance platform enablement, depending on organizational priorities.
  • Lead or influence cloud infrastructure across AWS, Azure, Kubernetes, networking, databases, reliability, operations, and alerting, depending on organizational priorities.
  • Lead or influence device-to-cloud connectivity and customer lifecycle systems, depending on organizational priorities.
  • Lead or influence continuous integration and continuous delivery, build systems, release automation, developer tooling, and engineering workflow automation, depending on organizational priorities.
  • Lead or influence observability, telemetry pipelines, service health dashboards, incident trends, and operational reporting, depending on organizational priorities.
  • Lead or influence containerization standards, runtime operations, and secure deployment patterns, depending on organizational priorities.

Desired 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 operating-system-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.

About the Company

Vectra

AI-driven network detection and response platform

Vectra.ai builds AI-powered security tools that watch traffic in cloud environments, SaaS apps, data centers, and enterprise networks to find cyber threats in real time. Its main product, the Cognito platform, connects with other security tools like EDRs, SIEMs, firewalls, and hybrid cloud setups. It collects network data and adds machine-learned security insights, then automatically detects attacker behaviors and flags the most at-risk devices. This helps security teams investigate incidents more efficiently and hunt for threats with AI assistance. Vectra.ai differentiates itself through strong integration across many security tools and its ability to provide real-time detection and risk prioritization across a wide set of environments. The company's goal is to help large organizations reduce security risk and improve their overall security posture by quickly detecting and responding to threats across their entire cloud footprint.

Company size
501-1,000
Company stage
Series F
Total funding
$352.3M
Headquarters
San Jose, CA
Founded
2011

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