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Anaconda

Open-source Python/R data science platform

Security Engineer - Platform & Shared Services

Security Engineering & ArchitectureUpdated on Nov 15
Full-timeRemote in USA

About the Job

Requirements

  • At least 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.
  • 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.

Responsibilities

  • 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, and manage 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, perform forensic analysis, and maintain tested runbooks for 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 help developers follow secure practices.
  • Contribute to risk reduction by improving time to remediate high-severity vulnerabilities and increasing the percentage of defects caught in development rather than production.
  • Improve operational automation by reducing false positive rates and increasing the percentage of security baselines managed through infrastructure as code.
  • Support adoption of secure-by-default templates and gather feedback from engineering teams on security's impact on velocity.
  • Improve incident preparedness through runbook coverage and response effectiveness during critical risks or zero-day events.

Desired Qualifications

  • Offensive security experience through penetration testing, red teaming, bug bounty programs, or reverse engineering.
  • Experience with advanced container security tools such as Falco or eBPF, or implementing zero trust architecture and network isolation in production environments.
  • Production engineering, SRE, or software engineering background with experience writing custom SAST or DAST rules, or managing SBOM and supply chain security.
  • Specialized expertise in HSMs, hardware tokens such as YubiKeys or FIDO2, applied cryptography, or identity provider integrations with platforms such as Okta or Azure AD.
  • Experience contributing to security culture through training programs, threat modeling workshops, CTF events, conference talks, or open-source security projects.
  • Experience in a fast-paced startup environment.
  • Experience in an open-source, AI, or data science-oriented company.

About the Company

Anaconda

Open-source Python/R data science platform

Anaconda provides a data science and AI platform for Python and R, anchored by the free Anaconda Distribution that bundles the Conda package manager and many libraries for easy installation and management of data science tools. Its products include enterprise subscriptions with advanced security, governance, dedicated support, and tools to manage and deploy data science projects at scale, plus consulting services; in 2025 it launched the Anaconda AI Platform to customize and orchestrate AI workflows. It differentiates itself by pairing a widely used, free data science distribution with enterprise-grade governance, security, and workflow-management capabilities beyond basic tooling. Its goal is to help teams build, manage, and deploy data science and AI workloads efficiently across organizations.

Company size
501-1,000
Company stage
Series C
Total funding
$246M
Headquarters
Austin, TX
Founded
2012

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