A

Anaconda

Open-source Python/R data science platform

Senior Security Engineer - Platform & Shared Services

Security Engineering & ArchitectureUpdated on Nov 12
Full-timeRemote in UK

About the Job

Requirements

  • At least 6 years of hands-on experience in systems administration, DevOps, network engineering, or software development, either before or alongside security work.
  • Proficiency with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform.
  • Experience managing infrastructure as code using Terraform.
  • Experience writing scripts and automation in Python, Go, or Bash.
  • Working knowledge of identity and access management, public key infrastructure, cryptography basics, network protocol analysis, and threat modeling frameworks.
  • Experience working in containerized environments with Docker or Kubernetes.
  • Ability to communicate technical security risks to non-security audiences and design workflows that respect developer experience.

Responsibilities

  • Design and implement security controls across firewalls, identity and access management, endpoint detection and response, and secrets management in hybrid and multi-cloud environments.
  • Build security automation and tooling using Python, Go, or Bash, and manage infrastructure as code with Terraform to scale security operations.
  • Conduct vulnerability and threat management by triaging scanner output, investigating root causes, and driving risk reduction across the platform.
  • Perform code reviews and architecture assessments to identify security risks early in the development lifecycle.
  • Embed security into continuous integration and continuous delivery pipelines through static analysis, dynamic testing, and dependency scanning.
  • Respond to security incidents as an escalation point, perform forensic analysis, and maintain tested runbooks for critical risks and zero-day events.
  • Partner with Legal, IT, Platform Engineering, and Developer Experience teams to balance security rigor with developer velocity.
  • Develop secure-by-default templates, libraries, and tooling that add velocity rather than friction.
  • Design and implement security controls across firewalls, identity and access management, endpoint detection and response, and secrets management in hybrid and multi-cloud environments.
  • Reduce risk velocity, measured by mean time to remediate high-severity vulnerabilities and the percentage of defects caught in development versus production.
  • Improve operational automation, measured by reduction in false positive rates and the percentage of security baselines managed through infrastructure as code.
  • Partner cross-functionally, measured by adoption of secure-by-default templates and feedback from engineering teams.
  • Improve incident preparedness, measured by 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-based monitoring.
  • Experience implementing zero trust architecture and network isolation in production environments.
  • Production engineering, site reliability engineering, or software engineering background with experience writing custom static or dynamic analysis rules, or managing software bills of materials and supply chain security.
  • Specialized expertise in hardware security modules, hardware tokens such as YubiKeys and FIDO2, applied cryptography, or identity provider integrations.
  • Contributions to security culture through training programs, threat modeling workshops, capture-the-flag events, conference talks, or open-source security projects.
  • Experience thriving in fast-paced startup environments while balancing speed with pragmatic risk management.
  • Experience working in an open-source, artificial intelligence, 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

Recently Posted Jobs

Explore more opportunities at Anaconda

See more jobs