We're looking for a DevOps Engineer (Security Focus) who treats security as a first-class engineering concern, not a compliance checkbox. You'll work closely with development to embed security into every stage of the delivery lifecycle — from the first commit to production monitoring.

• Design and maintain secure CI/CD pipelines from commit to production

• Integrate SAST, DAST, SCA, and secret scanning into GitLab / GitHub Actions

• Harden Kubernetes clusters — RBAC, network policies, admission controllers, pod security standards

• Manage cloud infrastructure (AWS / GCP) using IaC — Terraform, Helm, GitOps workflows

• Implement Zero Trust architecture, mTLS, and service mesh (Istio / Linkerd)

• Own the observability and alerting stack — Prometheus, Grafana, Loki, ELK

• Lead threat modeling sessions and security-focused code reviews

• Drive compliance work (SOC 2, ISO 27001, GDPR) on the technical side

• Mentor engineers and promote a shift-left security culture across the team

• 4+ years in DevOps, DevSecOps, or a closely related role

• Proven experience building secure pipelines in real production environments

• Solid hands-on knowledge of Kubernetes and cloud providers (AWS preferred)

• Strong grasp of network security — firewalls, VPC, WAF, TLS/mTLS

• Practical experience with secret management and key rotation

• Actively uses AI tools in daily work — Copilot, Cursor, Claude, or similar  

• Understanding of OWASP Top 10, CVE processes, and vulnerability disclosure

• At least B2 English — comfortable reading docs, writing in async, and joining calls

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Nice to have:

• Experience preparing for or passing SOC 2 / ISO 27001 audits

• Certifications: CKS, AWS Security Specialty, OSCP, or equivalent

• Familiarity with eBPF-based security tools — Cilium, Tetragon

• Background in FinTech, HealthTech, or another regulated domain

• Scripting or automation skills in Python

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Recruitment Process:

1. HR Interview
2. Tech&Final Interviews  
3. Job Offer

• Innovation Culture: Work in a team that actively experiments with AI and modern development approaches  

• Flexible Work: Remote work or a modern office in Kyiv  

• Generous Time Off: 20 paid vacation days + 15 sick leave days annually  

• Professional Growth: Compensation for courses, certifications, and learning resources  

• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, GitHub Copilot, etc.)  

• Supportive Environment: Collaboration, trust, and focus on outcomes rather than micromanagement