Senior DevSecOps Engineer (Cloud Security / AI Platforms)

About the Role

Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention. Their work spans intelligent fraud detection, AML/KYC modernization, autonomous workflows, enterprise AI platforms, and the secure industrialization of AI in highly regulated environments.

We are looking for a Senior DevSecOps Engineer to build and secure the cloud infrastructure supporting production AI solutions. The role focuses on CI/CD, Infrastructure as Code, container orchestration, cloud security, monitoring, and compliance automation across AWS and Azure environments.

CONTRACT: Contractor assignment, expected October 2026 – July 2027, with potential extension

COMMITMENT: Full-time

LOCATIONS: Central and Eastern Europe, EU-authorized, REMOTE

PROCESS: Initial qualification followed by technical and client interviews

NOTES: Fluent English is required.

Responsibilities

• Design and maintain secure, automated CI/CD pipelines for AI applications.
• Implement and manage Infrastructure as Code using Terraform, CloudFormation, or comparable tools.
• Embed automated security scanning, vulnerability checks, and compliance guardrails into delivery pipelines.
• Manage containerized workloads and Kubernetes environments, including AKS and EKS.
• Configure cloud permissions, identity controls, and secure network boundaries.
• Establish application and infrastructure monitoring, alerting, and logging.
• Improve platform availability, reliability, and operational resilience.
• Collaborate with enterprise security teams on penetration testing and remediation.
• Support secure deployment patterns across development, testing, and production environments.
• Apply DevSecOps best practices across infrastructure, security, and release processes.

Requirements

• Approximately 5–10 years of professional DevOps, DevSecOps, SRE, or cloud engineering experience.
• Strong hands-on experience with AWS and Azure cloud infrastructure.
• Deep understanding of cloud security controls, IAM, networking, and permissions.
• Hands-on experience with Terraform, CloudFormation, or comparable IaC tooling.
• Strong experience with Docker and Kubernetes, ideally including AKS and EKS.
• Experience designing and operating automated CI/CD pipelines.
• Experience implementing security scanning, vulnerability management, or compliance controls in delivery pipelines.
• Fluent professional English.