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Sr. Security Engineer - Platform & Shared Services

Anaconda, Inc.
Remote, USA
Full-time
Senior · 6+ years experience
Remote
USD 135000-205000 yearly / year
Discovered 3 weeks ago

Full Job Posting

Summary:

Anaconda's Security team protects and enables our platform, serving 50 million users and supporting our transition into an AI-native development platform. As a Security Engineer, you'll build secure-by-default systems through hands-on engineering—designing controls that reduce systemic risk while helping engineering teams ship faster. Your work spans firewalls, IAM, endpoint detection, secrets management, and CI/CD pipeline security across hybrid and multi-cloud environments.

What You'll Do:

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, or Bash, managing 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 CI/CD 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

Your Impact Will Be Measured By

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

Incident preparedness measured by runbook coverage and response effectiveness during critical risks or zero-day events

What You Need:

6+ years hands-on experience in systems administration, DevOps, network engineering, or software development prior to or alongside security work

Proficiency with cloud platforms such as AWS, Azure, or GCP

Experience managing infrastructure as code using Terraform

Experience writing scripts and automation in Python, Go, or Bash

Working knowledge of IAM, PKI, 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

What Will Make You Stand Out:

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

Implemented zero trust architecture and network isolation in production environments

Production engineering, SRE, or software engineering background with experience writing custom static or dynamic analysis rules, or managing SBOM and supply chain security

Specialized expertise in HSMs, hardware tokens (YubiKeys, FIDO2), applied cryptography, or identity provider integrations

Contributed to security culture through training programs, threat modeling workshops, CTF events, conference talks, or open-source security projects

Thrived in fast-paced startup environments balancing speed with pragmatic risk managementExperience working in a fast-paced startup environment

Experience working in an open-source, AI, or data science-oriented company

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.

The base salary range for this role is $ 135,000 - $205,000 for US-based team members, along with annual bonus potential, equity participation, and benefits.

Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.

In addition to base salary, we offer a comprehensive benefits package that includes:

Flexible Vacation Policy

Medical, Dental, and Vision Insurance

Short Term and Long Term Disability

Paid Parental Leave

Monthly Wellness Stipend

Employee Assistance Program and Mental Health Resources

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.

By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.

Anaconda is an EEO/AA employer M/F/V/D.

Be at the center of AI

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com .

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