Responsibilities
- Partner closely with engineering teams to design secure, scalable AWS architectures and services.
- Work directly with customers and internal stakeholders on real-world deployment scenarios across AWS and other cloud environments, designing and implementing secure solutions tailored to their infrastructure.
- Act as a trusted security advisor throughout the software development lifecycle—from design to deployment.
- Lead threat modeling exercises for applications and infrastructure, identifying risks and driving mitigation strategies.
- Collaborate with developers to implement secure coding practices and application security controls.
- Design, build, and operate cloud-native security infrastructure across AWS environments.
- Develop automated security controls, detection mechanisms, and response capabilities.
- Build and maintain Infrastructure-as-Code (Terraform or AWS CDK) to enforce secure configurations at scale.
- Define and implement systems that generate high-quality security signals for threat detection and response.
- Own security problems end-to-end, from identifying gaps to delivering production-ready solutions.
- Contribute to DevSecOps practices by integrating security into CI/CD pipelines and developer workflows.
- Continuously improve security standards, engineering practices, and system reliability.
Requirements
- 5+ years of professional experience in software engineering or security engineering.
- Strong programming skills, with proficiency in Python.
- Hands-on experience with AWS cloud infrastructure and security.
- Experience with Infrastructure-as-Code (Terraform, AWS CDK, or similar).
- Proven experience conducting threat modeling and working on application security.
- Experience implementing DevSecOps practices and securing CI/CD pipelines.
- Strong analytical and problem-solving skills.
- Ability to work autonomously in a fast-paced, distributed environment with minimal supervision.
- Bachelor’s degree in Computer Science or equivalent.
Nice to Have
- Fluent in English; native fluency in a main European language; preferred business-level proficiency in 1-2 additional languages.
- Proven track record of identifying opportunities to build, test, and scale AI-powered solutions.
- Sees AI as a force multiplier and actively looks for ways to enhance team performance through innovation & curiosity.
- Comfortable working independently across time zones, with the majority of the team based in the United States.
