Who We Are 

Engineering: At WeightWatchers, our Engineering Team drives transformative change by leveraging technology to redefine how millions approach weight health and wellness. The team builds digital solutions that establish personalized connections and foster inclusive virtual communities, empowering members to adopt healthier habits and achieve lasting lifestyle changes. From pioneering a comprehensive telehealth platform, optimizing medication access, diving headfirst into exciting AI integrations we lead with data-driven innovations that revolutionize healthcare outcomes. Our culture thrives on urgency, collaboration, and a passion for impactful work that directly improves the lives of our members.

What You Will Do

As our Senior Security Engineer - Cloud Security, you will be working alongside an existing team of experienced security engineers and partnering closely with technologists across the company to help build the future of digital health security and protect our patients! We serve our patients from end to end, and security works the same way, all the way from the deepest infrastructure to the patient experience, we want our patients to be safer by being with WW. 

What you get to do every day

• Design and build the security for the future of our infrastructure
• Partner with the infrastructure team, engineering team, compliance team and within security teams to maintain and further improve our cloud security posture management and help deliver secure products and services for our patients and doctors
• Lead the charge on AI-native Security. Embrace AI adoption within engineering and usage of AI tooling.   We build AI tools Security, Engineering, and the company at large. You’ll be in an incredible position to influence safe and thoughtful adoption of AI tooling at the enterprise level.
• Design, develop, and deploy autonomous AI agents that enhance threat detection, alert triage, vulnerability management, and incident response—fundamentally transforming how security teams operate.
• Reimagine traditional security processes through agentic AI. Replace manual runbooks with intelligent agents that can reason, take action, and escalate when needed.
• Take care of real world problems and challenges related to infrastructure security and implement sustainable solutions
• Research threats and attack vectors that impact WW applications and infrastructure
• Devise and bolster defense-in-depth through secure-by-default frameworks, architectures and processes
• Create solutions and processes to identify, resolve and mitigate security vulnerabilities and risks
• Research threats, attack vectors and real-world problems that impact WW’s applications and infrastructure security
• Devise and bolster defense-in-depth through secure-by-default frameworks, architectures and processes
• Define and maintain key KPIs for a healthy infra/cloudSec program
• Detect and respond to security incidents and participate in an incident on-call rotation for critical and non-critical alerts

What you bring to the role

• Experience with SIEM, EDR, and CSPM tools (Wiz, Crowdstrike, Scanner)
• Experience in cloud security, especially for AWS, anything to do with IAM, secure configuration of services, AWS native security services like AWS Cloudtrail, SCP’s, AWS Org, Config etc
• Kubernetes Security Expertise: Deep understanding of Kubernetes security, including secure deployments, network policies, S2S authentication & authorization, RBAC, workload identity, admissions controllers, and runtime security
• Expertise responding to complex incidents across endpoint, network, and cloud as well as experience being an Incident Commander/Responder
• Expertise responding to complex incidents across endpoint, network, and cloud
• Capable of understanding an unfamiliar system enough to successfully respond to an incident involving the system
• Experience with Infrastructure as Code. We use Terraform
• Ability to understand the whole solution, not just the technology
• Focus on the end to end lifecycle of solving a problem and solutioning for it and not just implementing a security technology
• Have a well-rounded view for problem solving and a deep care for the patient and your fellow employees' experience as you surpass security challenges
• Hunger to drive decision making, collaboration and to have deeper opinions on security design
• Hands-on experience building, deploying, or securing AI/ML systems, including LLM-based applications and agentic workflows.
• Proven track record of building production-grade security AI agents or agent-powered tools — not just evaluating or advising on them.