Security Engineer, Anaconda

• 3+ years of hands-on experience in systems administration, DevOps, network engineering, or software development prior to or alongside security work
• Proficiency with cloud platforms including AWS, Azure, or GCP, and experience managing infrastructure as code using Terraform
• Experience writing scripts and automation in Python, Go, or Bash to integrate tools and reduce manual security tasks
• Working knowledge of core security disciplines including IAM, PKI, cryptography basics, network protocol analysis, and threat modeling frameworks
• Demonstrated ability to communicate technical security risks to non-security audiences and design workflows that respect developer experience
• Experience working in containerized environments with Docker or Kubernetes
• You embody our values of Clarity, Care and Candor
• You care deeply about fostering an environment where people of all backgrounds and experiences can flourish

Desirable

• We're growing our Security team to protect and enable Anaconda's platform as we scale from 50 million users toward the next phase of growth
• You'll design and implement security controls, automation, and guardrails that reduce systemic risk while helping engineering teams ship faster
• This role is about building secure-by-default systems through hands-on engineering, not enforcing checklists from the sidelines
• Design and implement security controls across firewalls, IAM, endpoint detection and response, and secrets management in hybrid and multi-cloud environments
• Build security automation and tooling using Python, Go, and Bash, managing infrastructure as code with Terraform to scale security baselines and reduce manual toil
• Conduct vulnerability and threat management by triaging scanner output, investigating root causes, and driving risk reduction with clear operational guidance
• Perform code reviews and architecture assessments to identify security risks early and collaborate with engineering teams to design secure solutions
• Embed security into CI/CD pipelines through SAST, DAST, and dependency scanning, creating developer-friendly workflows that catch issues before production
• Respond to security incidents as an escalation point, performing forensic analysis and maintaining tested runbooks for calm, effective containment during critical events
• Partner with Legal, IT, Platform Engineering, and Developer Experience teams to translate security risks into business impacts and deliver controls that add velocity
• Develop secure-by-default templates, libraries, and tooling that make it easier for developers to do the right thing without friction
• Your Impact Will Be Measured Through:
• Risk reduction velocity measured by mean time to remediate high-severity vulnerabilities and percentage of defects caught in development versus production
• Operational automation measured by reduction in false positive rates and percentage of security baselines managed through infrastructure as code
• Cross-functional partnership measured by adoption of secure-by-default templates and feedback from engineering teams on whether security adds or removes velocity
• Incident preparedness measured by runbook coverage and response effectiveness during critical risks or zero-day events
• Why You'll Like Working Here:
• You'll thrive in a high-performance environment where results are recognized and rewarded
• Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise
• You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor
• You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth

• The application deadline for this role is 12/01/2026; applicants will be reviewed on an ongoing basis until the role is filled