
201 - 500 employees
Founded 2004
☁️ SaaS
💳 Fintech
🤖 Artificial Intelligence
SaaS • Fintech • Artificial Intelligence
Provenir is the Decision Intelligence Platform for financial services providers. It offers a low-code, cloud-native SaaS platform that consolidates data, AI models, analytics and decisioning agents into a single governed environment to support credit risk, fraud & identity, compliance, onboarding, customer management and collections. The platform provides real-time, AI-powered decisioning, a data marketplace for identity/fraud/credit data, case management, and tools for deploying, validating and optimizing models and policies across global markets. Provenir is used by banks, credit unions, fintechs, payments and telco customers and processes billions of decisions annually.
🕒 August 12
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201 - 500 employees
Founded 2004
☁️ SaaS
💳 Fintech
🤖 Artificial Intelligence
SaaS • Fintech • Artificial Intelligence
Provenir is the Decision Intelligence Platform for financial services providers. It offers a low-code, cloud-native SaaS platform that consolidates data, AI models, analytics and decisioning agents into a single governed environment to support credit risk, fraud & identity, compliance, onboarding, customer management and collections. The platform provides real-time, AI-powered decisioning, a data marketplace for identity/fraud/credit data, case management, and tools for deploying, validating and optimizing models and policies across global markets. Provenir is used by banks, credit unions, fintechs, payments and telco customers and processes billions of decisions annually.
• Architect and own the technical roadmap for the AWS ecosystem, transitioning to a self-service, AIOps-driven platform model • Evolve EKS and Kubernetes environments with ArgoCD, mTLS security, and intelligent scaling using Cast.ai • Manage and optimize CI/CD pipelines, transitioning from Jenkins toward AWS CodeBuild and Step Functions • Leverage Cursor and AIOps strategies for self-healing infrastructure, anomaly detection, and autonomous pipeline optimization • Support large-scale data environments involving Kafka, Druid, and Athena • Partner with Solution Architecture, Product Management, and Engineering leadership to align infrastructure with business growth and product innovation • Implement observability and cost optimization using Grafana and CastAI • Provide architectural guidance, remove technical roadblocks, and mentor peers
• 8–10+ years of experience in DevOps/SRE roles • Proven track record managing highly agile, large-scale environments • Expert-level AWS experience, including VPC, networking, and ECR • Deep production experience with Kubernetes, EKS, K8s Ingress, mTLS, and ArgoCD • Advanced proficiency in Terraform and Ansible • Strong command of Python and Bash • Experience with GitHub Actions, Jenkins, AWS Lambda, and Step Functions • Experience building AIOps frameworks with Grafana • Experience using AI coding tools such as Cursor • Hands-on experience with RDS/Postgres, Kafka, and Druid or Athena • Experience integrating SonarQube and CodeArtifact into the SDLC • Knowledge of network security and identity management • Familiarity with GitOps principles • Passion for applying AI/ML to operations to reduce noise and MTTR • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience • Ability to provide architectural guidance and mentorship • Ability to communicate complex technical concepts to technical and non-technical stakeholders
• Comprehensive health and wellness plans • Paid time off • Company holidays • Flexible and remote-friendly opportunities • Maternity/paternity leave
Apply Now🕒 August 12
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