Role overview
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Consulting, Design, Cloud, Data, and Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Blockchain and Artificial Intelligence to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.
For more information on the company, please visit our website or LinkedIn community.
What you'll work on
- Securing our products in the domain of AI operations with a focus on next-generation technology.
Working in an agile setup to provide technical solutions that will secure the deployment and operations of AI models and agents.
Bringing considerable savings to our client by improving the time to market of our AI applications, whilst adhering to operational controls and governance.
Securing a centralized model registry for the bank.
Securing CICTCD pipelines for different runtimes and platforms and ensuring that they run controls and scans during the training and deployment process.
Securing APIs and services for AI products, such as APIs for performance monitoring and reporting.
Integrating security solutions such as model scanners and AI firewalls
What we're looking for
- You justify a Master’s degree or equivalent in computer science, information systems, or another relevant field;
- You are experienced in network security and process control. (E.g. securing APIs and cloud resources, running automated cybersecurity scans, procedural controls, data leakage prevention, role-based access control.)
- You possess Cloud engineering experience with emphasis on building secure cloud infrastructure (e.g. Terraform, Ansible).
- You show DevSecOps experience with setting up and managing CI/CD pipelines (e.g. GitLab) to automate processes with a strong focus on security.
- You possess the ability to understand Cloud security best practices.
- You have the ability to identify potential security threats and vulnerabilities in AI systems and develop mitigation strategies.
- You are experienced in integrating security measures into the AI / ML lifecycle, including model training, deployment, and monitoring.
- You have experience with scripting for automation of cloud-related tasks. (e.g. Python, Bash and / or PowerShell for Azure automation).
- You possess knowledge of Docker and Kubernetes (e.g. AKS for deploying and managing containerized applications).
- You speak English fluently.
- You possess a valid Swiss work permit, or you are EU national and willing to relocate to Zurich.