vCluster Logo

vCluster

Senior Application Security Engineer

Posted One Month Ago
Remote
Hiring Remotely in United States
150K-220K Annually
Senior level
Remote
Hiring Remotely in United States
150K-220K Annually
Senior level
Lead end-to-end application and product security for a Kubernetes-based multi-tenant platform. Perform deep security reviews of Go services, Kubernetes controllers, and frontends; lead threat modeling; integrate automated security checks into CI; manage vulnerability lifecycle; develop security-related features; and train developers on secure coding and attack vectors.
The summary above was generated by AI

As a Sr. Application Security Engineer at vCluster Labs, you are the architect of trust in our diverse ecosystem. In this role, you will be responsible for the end-to-end security of our product, ensuring that vCluster remains the de facto standard for secure Kubernetes multi-tenancy. You will define the security standards that allow our customers to run high-privileged workloads without fear, building in-depth strategies that span our entire codebase and infrastructure.

As a Sr. Application Security Engineer, your role will include:

  • Core Product Security: Perform deep-dive security reviews of our core Go-based applications and Kubernetes controllers, as well as the frontend user interface. With a targeted focus on avoiding privilege escalation within our multi-tenant architecture.

  • Threat Modeling: Lead the threat modeling process for new features, proactively identifying risks associated with shared GPU resources and multi-cloud environments.

  • Automated Security: "Shift left" by continuing to integrate security checks into our CI and developer workflows. Optimizing these checks for speed, ensuring security never becomes a bottleneck for engineering velocity. Separately, you will manage automated and manual scanning of our entire product stack.

  • Vulnerability Management: Own the lifecycle of security vulnerabilities from discovery to remediation. You will triage both external and internal reports, drive the resolution of critical issues across the engineering organization, and communicate effectively across stakeholders.

  • Feature Development: Everyone at the organization contributes to both the ideas and development of new features. Many of which are directly related to security topics such as container breakouts and isolation, pushing the envelope of what’s possible in constrained environments.

  • Developer training: Make complex topics easier to understand for all engineers, including new attack vectors and secure coding concepts.

This role could be a fit for you if you bring:

  • Experience: You have 5+ years in Application Security or Product Security, with a strong focus on containerized environments.

  • Kubernetes Depth: You have a deep understanding of Kubernetes architecture, RBAC, and container runtime security. You understand the specific risks of multi-tenancy.

  • Code Proficiency: You are comfortable reading and writing Go, which is the language of our core product. You can spot a vulnerability in a PR without relying solely on automated tools.

  • Modern Tech Mindset: You thrive in fast-paced cutting-edge environments. You are excited to solve novel problems related to AI and multi-tenant infrastructure.

  • Cognitive Flexibility: You view feedback as a learning mechanism, not a critique, and are willing to understand the unique needs and concerns of our customers.

Bonus points for:

  • Certifications: CKS (Certified Kubernetes Security Specialist) or OSCP.

  • AI/GPU Context: Experience securing AI workloads or GPU cloud infrastructure.

  • Automation Skills: Experience writing custom security tooling or automation scripts in Python or Go.

  • Documentation: A willingness to contribute to our public-facing security documentation and "Trust Center" to help our customers navigate compliance.

About vCluster Labs

We're the #1 platform for AI infrastructure, trusted by the world's fastest-growing AI cloud builders. We're a venture-backed startup that's raised over $28M from top-tier investors including Khosla Ventures (first investor in OpenAI, GitLab, Stripe, and DoorDash), and we're in a hyper-growth phase looking for motivated people to join our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe with a remote-first culture.

We give AI Cloud providers and AI factories a hyperscaler-like experience on their own GPU infrastructure. Our platform runs the full stack an operator needs, from bare metal provisioning and node lifecycle management up through managed Kubernetes, Slurm, Ray, and inference clusters, so they can turn raw GPUs into cluster products they can sell in days instead of spending 12+ months building it themselves. Today we power over 100,000 GPUs and 1 million CPUs across 50+ AI clouds and Fortune 500 companies, backed by a team of 40+ infrastructure engineers who build alongside our customers rather than just shipping them software.

We're the company behind vCluster, the open source technology for tenant isolation on Kubernetes, with 11,000+ GitHub stars and 40M+ tenant clusters created since 2021. Open source is part of our DNA. At KubeCon North America 2025, we launched our Infrastructure Tenancy Platform for AI, a Kubernetes-native framework built for running AI, ML, and GPU-intensive workloads anywhere, with an NVIDIA-validated reference architecture for DGX systems.

Benefits

We offer the following benefits:

  • Competitive Salary: We offer a competitive compensation package, including equity.

  • Platinum-Level Insurance: Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country).

  • Flexible Working Schedule:  You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day.

  • Workplace Flexibility:  We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way.

Culture & Values

At vCluster Labs, we value and stand for:

  1. Make it Happen: We have a relentless bias for action and the grit to push through obstacles. We do whatever it takes to figure it out, put in the work, and ruthlessly prioritize the actions that drive measurable impact for the business.

  2. Own the Outcome: We understand that our responsibility doesn't end when a task is checked off; it ends when the value is delivered. We connect our daily individual actions to the broader success of the company and our customers.

  3. Create Wow: We measure success by the experience we generate, both inside and outside the company. For our customers, this means impressive speed and intuitive experiences. For our team, this means going the extra mile to support one another and to continuously drive each other to new heights.

  4. Open Source, Open Mind: We are actively contributing to and maintaining open-source projects. Internally, we foster meritocracy — the strongest ideas win, no matter who or where they come from.

  5. Build Tomorrow’s Standards, Intentionally: We don't just ship software; we define the state-of-the-art of tomorrow. We are fearless in tearing down old approaches to build something better, but we are disciplined in how we do it because we know our users rely on our technology to run mission-critical infrastructure platforms.

Similar Jobs

6 Hours Ago
In-Office or Remote
USA
215K-358K Annually
Senior level
215K-358K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.
Top Skills: Ai PlatformsBusiness IntelligenceDashboardsData ContractsData FabricData VisualizationEvent TaxonomyExperimentationKnowledge GraphsKpi FrameworksOkr PlatformsProduct AnalyticsTelemetry
6 Hours Ago
In-Office or Remote
USA
163K-272K Annually
Senior level
163K-272K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads product strategy, roadmap, lifecycle ownership, adoption, and measurable outcomes for a greenfield enterprise AI platform. Defines platform boundaries, governance controls, evaluation, registration, and cost-tracking capabilities while translating evolving risk, privacy, security, and GxP requirements into usable product features. Partners with engineering, design, legal, compliance, risk, security, and global agent-building teams to prioritize investments, guide delivery, communicate direction, and drive platform adoption.
Top Skills: AgileAIAi AgentsAi GovernanceGxpLeanModel Evaluation
Yesterday
In-Office or Remote
Site of Old Bullion, NV, USA
177K-294K Annually
Senior level
177K-294K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build, test, and ship production-grade full-stack software and AI-powered systems for Pfizer’s Medical Affairs portfolio. Integrate LLMs, agentic AI, and RAG pipelines; develop scalable systems from prototypes through production; optimize prompts for cost, latency, and quality; integrate enterprise platforms; and monitor AI/ML performance. Collaborate with architecture, product, UX, and data engineering teams while maintaining strong code quality, documentation, testing, and verification practices.
Top Skills: Agentic AiAgileApi-First DesignAWSAzureCi/CdGdprGxpHipaaLlmopsLlmsMlopsRagSalesforce Life Sciences CloudSalesforce Marketing CloudScrumVector DatabasesVeeva Crm

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account