Senior DevSecOps Engineer (Cloud Security / AI Platforms)
Gramian Consulting Group Poland
IT Services and IT Consulting · 2-10 employees
About the role
Design and maintain secure, automated CI/CD pipelines for AI applications while managing cloud infrastructure and containerized workloads. Collaborate with security teams to implement vulnerability management, compliance guardrails, and robust monitoring across AWS and Azure environments.
What they look for
Requirements
Requires 5–10 years of professional experience in DevOps, DevSecOps, or cloud engineering with strong hands-on expertise in AWS, Azure, and IaC tools. Candidates must possess deep knowledge of container orchestration, cloud security controls, and automated pipeline development.
Full description
About GramianGramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the RoleOur 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: Europe-based, preferably CEE; remote, with potential future hybrid work in Prague
PROCESS: Initial qualification followed by technical and client interviews
NOTES: Fluent English is required. Strong AWS experience is highly preferred.
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.
- 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.
