Senior Security Software Engineer, D&R Platform
Zürich, CHFull-TimeSeniorSoftware Engineering
About Anthropic
- Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
- We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.
Responsibilities
- Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response
- Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure
- Architect solutions for storing and efficiently querying large volumes of security-relevant data
- Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities
- Work closely with security and infrastructure teams to understand requirements and deliver solutions
- Mentor engineers and contribute to hiring and growth of the Security team
- Participate in on-call shifts
You may be a good fit if you
- 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines
- Track record of building and maintaining internal developer tools or security platforms
- Strong understanding of data processing pipelines and experience working with large-scale logging systems
- Experience with: Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows) Infrastructure-as-code (Terraform, CloudFormation) Query optimization for large datasets
- Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows)
- Infrastructure-as-code (Terraform, CloudFormation)
- Query optimization for large datasets
- Experience with building stable and scalable services on cloud infrastructure and serverless architectures
- Ability to write maintainable and secure code in Python
- Experience working with security teams and translating requirements into technical solutions
- Ability to lead technical projects with minimal guidance
- Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship
- Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics
- Outstanding communication skills, translating technical concepts effectively across all organizational levels
- Demonstrated success in bringing clarity and ownership to ambiguous technical problems
- Strong systems thinking with ability to identify and mitigate risks in complex environments
- Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows)
- Infrastructure-as-code (Terraform, CloudFormation)
- Query optimization for large datasets
Strong candidates may also have experience with
- Experience building security tooling from the ground up
- Background in implementing security monitoring solutions (SIEM, log aggregation, EDR)
- Background in detection engineering or security operations
- Experience with: SOAR platform/automation development Data lake / Database architecture API design and internal platform creation
- SOAR platform/automation development
- Data lake / Database architecture
- API design and internal platform creation
- Track record of applying ML/AI to security problems
- Experience scaling security operations in a high-growth environment
- SOAR platform/automation development
- Data lake / Database architecture
- API design and internal platform creation
How we're different
- We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
- The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
