Senior Software Engineering Manager
Leads platform engineering teams at Vectra, an AI-driven cybersecurity company, managing engineers who build appliance software, cloud infrastructure, CI/CD, and operational tooling. Combines people leadership and technical judgment across Linux, AWS, Azure, Kubernetes, and delivery practices.
- Compensation
- Not disclosed
- Location
- Austin, TX
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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 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, and roadmap planning
- 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
Nice to have
- 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, or incident analysis
- 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
Full 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.
We are looking for a Senior Software Engineering Manager to lead key areas of Vectra’s 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 You’ll 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.