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We are looking for a Senior DevOps / Cloud Security Engineer who has designed, architected, or managed enterprise-grade AWS infrastructure with multi-account strategies, audit trails, and GDPR-compliant data handling.
You will own our cloud security posture while ensuring operational excellence. This is a hands-on, senior role where you will combine modern DevOps best practices with AI-assisted workflows to build and secure highly available infrastructure.
Key Responsibilities
Enterprise Cloud Architecture
- Manage and evolve multi-account AWS infrastructure (production, staging, backup).
- Implement cross-account security policies, backup strategies, and disaster recovery.
- Design highly available systems with automatic failover and zero-downtime deployments.
- Maintain GDPR-compliant infrastructure with full audit trails and automated data purging.
- Configure AWS security services (GuardDuty, Security Hub, CloudTrail) for threat detection.
- Manage encryption keys, secrets rotation, and access controls across all AWS accounts.
- Extend and maintain our Python-based Pulumi infrastructure codebase.
- Build automation tools and self-service platforms for development teams.
- Implement policy-as-code and infrastructure compliance testing.
- Use AI-assisted tools (Claude, Cursor, GitHub Copilot) for infrastructure automation.
- Build secure CI/CD pipelines with integrated security scanning.
- Combine traditional coding skills with AI-assisted workflows for faster delivery.
- Build monitoring and alerting using CloudWatch, AWS X-Ray, and related tools.
- Define SLOs, error budgets, and incident response procedures (SRE best practices).
- Manage data infrastructure including PostgreSQL clusters, caching layers, and search systems.
β Must Have:
- 5+ years managing enterprise AWS infrastructure (multi-account architectures, backup & DR, incident response).
- Hands-on experience with GDPR/PII compliance implementation.
- Strong Python skills (writing/debugging infrastructure automation scripts).
- AWS security expertise (IAM, KMS, secrets management, audit logging).
- Proven track record of managing production incidents and security events.
- Willingness to adopt and work with AI-assisted development tools (or prior experience using them).
- Multi-account AWS infrastructure (managed via Pulumi β Python).
- Kubernetes clusters on Porter.run.
- Aurora PostgreSQL (with ML extensions).
- GitHub Actions CI/CD pipelines.
- CloudWatch-based monitoring with custom alerting.
- Ruby on Rails deployment and optimization experience.
- Knowledge of ML infrastructure and vector databases.
- Experience with zero-trust networking (Tailscale, HashiCorp Boundary).
- Contributions to open-source infrastructure-as-code or security projects.
π Ownership: Take full responsibility for infrastructure powering thousands of users.
β‘ Innovation: Work with cutting-edge AI and DevOps tools.
π Impact: Shape the security posture and reliability of a growing platform.
π Growth: Help define infrastructure strategy and build a future team.
π» Flexibility: 100% remote work with asynchronous collaboration.
π° Benefits: Competitive compensation & comprehensive benefits package.
Apply Now
If you have successfully built and managed enterprise-level AWS infrastructure and are excited about combining DevOps excellence with AI-assisted workflows, weβd love to hear from you!
Skills: infrastructure,devops,aws,cloud
Key Skills
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