As a DAI and DevOps Engineer, you will be working for our client, a leader in the advertising technology industry. You will design, maintain, and optimize complex infrastructure on AWS that powers advertising platforms processing millions of real-time events and requests. Join a team committed to pushing the boundaries of real-time data processing and scalable architecture, enabling innovative ad solutions and impactful digital campaigns.
responsibilities :
Design, implement, and maintain scalable AWS cloud infrastructure supporting real-time AdTech platforms utilizing services such as EC2, Fargate, EKS, ALB/NLB, Autoscaling Groups, and KEDA.
Build and optimize CI/CD pipelines for microservices to enable rapid, secure, and zero-downtime deployments crucial for real-time revenue models.
Collaborate closely with developers, data scientists, and data engineers to ensure robust, flexible, and secure environments that facilitate quick experimentation and deployment cycles.
Configure IAM policies, manage access controls, and uphold data security standards, ensuring compliance with relevant regulations like GDPR.
Monitor, troubleshoot, and improve system performance using tools like Datadog, Prometheus, Grafana, and the ELK/EFK stack.
Implement streaming solutions using Kafka or similar technology, integrating them into scalable, resilient architectures.
Automate tasks and service configurations with scripting languages such as Python or Go, ensuring best practices in security and system design.
Stay aligned with industry standards and regulations, actively contributing to process improvements and architectural modernization.
requirements-expected :
3–5 years of experience as a DevOps, SRE, or Cloud Engineer within the media or AdTech industry.
Very good knowledge of Linux and networking fundamentals (TCP/UDP, DNS, load balancing).
Practical experience with AWS services including EKS, EC2, IAM, S3, Lambda, and CloudWatch.
Proficiency in Terraform and CI/CD tools such as GitLab, Jenkins, or GitHub Actions.
Hands-on experience with Kubernetes (EKS), Docker, and Helm.
Familiarity with monitoring tools like Datadog, Prometheus, Grafana, and the ELK/EFK stack.
Experience with streaming systems like Kafka or similar.
Scripting skills in Python or Go.
Solid understanding of distributed system security and GDPR compliance.
Proven experience designing architectures, scaling, and modernizing complex AdTech or scheduling systems.
Higher education, preferably in technical fields.
Knowledge of Agile/Scrum methodologies.
Proficiency in English technical documentation.
offered :
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours
benefits :
sharing the costs of sports activities
private medical care
remote work opportunities
flexible working time
fruits
integration events
corporate gym
saving & investment scheme
no dress code
coffee / tea
drinks
christmas gifts
birthday celebration
sharing the costs of a streaming platform subscription
