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Personetics TechnologiesGivatayim · Tel Aviv
Confirmed open at the employer less than an hour ago · Posted 4 hours ago
Listing published by its original source and linked back to it. The employer did not pay Jobsworm for this listing.
Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals.
As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv.
We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
• Design, implement, and maintain CI/CD pipelines.
• Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
• Develop and maintain Infrastructure as Code using Terraform.
• Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and Kustomize.
• Lead and support the migration of enterprise applications and infrastructure from on-premises environments to scalable SaaS and cloud-native architectures.
• Establish, maintain, and continuously improve production environments, ensuring high availability, security, scalability, and operational excellence.
• Demonstrate strong production ownership, including incident management, root cause analysis, capacity planning, and performance optimization.
• Collaborate with Engineering, QA, Product, and AI teams.
• Support the deployment, operation, and monitoring of AI and Generative AI services.
• Build and maintain monitoring, logging, and alerting systems.
• Troubleshoot and resolve infrastructure, deployment, and production issues.
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