Staff Cloud Infrastructure Engineer
Description For Staff Cloud Infrastructure Engineer
Tala is a mission-driven fintech company that's revolutionizing financial access for the Global Majority – serving over 9 million people across Kenya, the Philippines, Mexico, and India. With substantial funding of nearly half a billion dollars, Tala has earned recognition from Fortune Impact 20, CNBC's Disruptor 50, and Forbes' Fintech 50. They're seeking a Staff Cloud Infrastructure Engineer to join their remote-first global team, focusing on AWS cloud environments. The role combines DevOps practices with cloud-native infrastructure expertise to build robust, scalable solutions. You'll work with cutting-edge technologies like Kubernetes, Terraform, and various monitoring tools while collaborating with a diverse, international team. The position offers the opportunity to make a significant impact on financial inclusion while working with modern cloud architecture and automation tools. Ideal candidates should have strong experience in cloud infrastructure, DevOps practices, and a passion for using technology to drive social impact.
Responsibilities For Staff Cloud Infrastructure Engineer
- Automate infrastructure & platform services in AWS using IaC tools such as Terraform
- Design and manage Continuous deployment using Kubernetes, ArgoCD and Jenkins
- Monitor applications and services and participate in on-call rotation
- Configure and manage observability tools for application performance monitoring
- Work collaboratively with engineering to develop/deploy systems
- Work with global team and participate in on-call support
Requirements For Staff Cloud Infrastructure Engineer
- 5-7 years of total experience in DevOps and infrastructure automation
- 4+ years of experience in cloud infrastructure automation preferably in AWS
- Experience and understanding in modern microservices-based cloud architecture
- Experience with Docker and Kubernetes in production
- Experience with Continuous Deployment tools such as Jenkins or ArgoCD
- Experience with Logging and Monitoring tools such as Sumo, Splunk, Datadog etc
- Excellent verbal and written communication skills
- B.S. Degree in Computer Science or related field or equivalent experience
- Experience working effectively with global teams in multiple time zones
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