The engineer will design, deploy, and maintain secure data and AI platforms while managing CI/CD pipelines and infrastructure as code. They will also enforce security governance and optimize cloud performance across the organization.
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At Synpulse, we don’t just consult – we transform. As a leading global management and technology consultancy with Swiss roots, we empower financial institutions to navigate change and seize new opportunities. Since 1996, we've been shaping the future of financial services by delivering cutting-edge expertise in strategy, operations, and technology to banks and insurers worldwide.
What sets us apart is our people. At Synpulse, we cultivate a collaborative, high-impact culture where initiative and creativity are valued. With 21 offices across Europe, the Americas, and Asia-Pacific, we bring together diverse perspectives and talents. We believe innovation thrives where everyone feels they belong and can contribute.
Our core values – Embrace, Drive, Achieve – shape how we work and evolve. We don’t just offer jobs – we offer the chance to develop, make an impact, and be part of a team that’s redefining the future of financial services.
Are you excited about transforming the way we bank by using the same technology? We are too! ABOUT THE JOB We are seeking a skilled Data/AI DevSecOps Engineer to design, implement, and maintain secure, scalable, and highly available data and AI platforms while supporting cloud infrastructure, automation, and CI/CD practices. This role focuses primarily on AWS, with Azure experience considered a plus. You will work closely with engineering teams to integrate AI and data workflows into production systems and drive best practices in DevSecOps.
7+ years in DevOps, DevSecOps, Cloud Engineering, or Data/AI platform development.
Strong AWS expertise; Azure experience is a plus.
At least 1 year in AI Engineering
Hands-on experience with Databricks, Kubernetes, CI/CD pipelines, GitOps, and containerized deployments.
Proficiency in Terraform (primary), Ansible, and scripting (Python, Bash, PowerShell).
Knowledge of monitoring and observability platforms (Datadog, CloudWatch).
Understanding of cloud security best practices, IAM, and compliance frameworks.
Soft Skills:
Analytical, proactive, and adaptable, able to manage multiple responsibilities.
Strong problem-solving and troubleshooting skills in data-driven environments.
Effective communicator and collaborative team player.
Fluent in English.
Design, deploy, and maintain data and AI solutions, including Databricks, ensuring performance, reliability, and security.
Build, manage, and optimize CI/CD pipelines, GitOps workflows, and automated deployments for cloud workloads.
Implement infrastructure as code (Terraform, Ansible) and manage containerized applications (Kubernetes/EKS/AKS).
Configure and maintain cloud-hosted applications, IAM, SSO, RBAC, and enforce security and compliance standards.
Automate routine tasks and workflows using scripting and orchestration tools (Python, Bash, PowerShell, AWS Lambda, GitHub Actions).
Monitor and optimize infrastructure and application performance, observability, and logging (Datadog, CloudWatch), ensuring cost-efficiency and scalability.
Establish and enforce governance, compliance, and security policies across data, AI, and cloud environments.
Evaluate and adopt new tools and technologies to improve efficiency, reliability, and operational excellence.
Serve as a subject matter expert for complex cloud, AI, and data-related issues and provide guidance to teams.
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