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:- Design and implement security controls across firewalls, IAM, endpoint detection and response, and secrets management in hybrid and multi-cloud environments
- 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
