IT Labs
Senior DevSecOps Engineer
About this role
At IT Labs, we work with premier global consulting organizations to help Tier 1 banks and insurance companies transform operations through AI, automation, and advanced analytics, with a special focus on Anti-Financial Crime. Our client's expertise includes AI-driven fraud prevention, Anti-Money Laundering (AML), and Know Your Customer (KYC) solutions—designing and implementing intelligent systems that enhance detection, automate investigations and due diligence, boost efficiency, and help institutions stay ahead of regulatory change. You’ll work at the intersection of business transformation, data science, AI engineering, cloud technologies, and financial services, tackling complex challenges with innovative technology for banking and insurance clients across Europe. Help enable leading consulting organizations to deliver advanced solutions to top global banks and insurers—as they use AI to safeguard millions of customers and vast financial assets. If building secure, compliant, and highly available cloud platforms for enterprise AI excites you, we want you on our team.
Responsibilities
- Design, deploy, and maintain secure, automated CI/CD pipelines tailored for AI applications and enterprise delivery environments
- Implement and manage Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation across cloud platforms
- Embed automated security scanning, vulnerability detection, and compliance guardrails directly into the software delivery lifecycle
- Manage containerization strategies, orchestration environments, and Kubernetes clusters, including EKS and AKS
- Administer cloud infrastructure permissions, identity access controls, and secure networking configurations across environments
- Establish robust monitoring, alerting, and logging systems to ensure high availability, operational visibility, and platform uptime
- Collaborate with enterprise IT and security teams to support penetration testing, incident readiness, and secure network boundaries
- Support secure and scalable deployment of AI services, cloud-hosted applications, and containerized workloads in production environments Required Skills & Experience
- 5–10 years of experience in DevOps, DevSecOps, platform engineering, or cloud infrastructure engineering
- Strong hands-on experience with AWS cloud infrastructure, security controls, networking, and container platforms
- Experience designing and managing automated CI/CD pipelines for complex cloud-native applications
- Strong expertise in Infrastructure as Code, especially with Terraform or CloudFormation