Sr. Infrastructure Engineer
Platform Science- Full Time
- Senior (5 to 8 years)
Candidates should possess 5-7 years of total experience in DevOps and infrastructure automation, with at least 4 years of experience in cloud infrastructure automation, preferably in AWS. They must have experience and understanding in modern microservices-based cloud architecture, prior experience working closely with Product, Engineering, and SecOps on shift-left strategies, CI/CD tools and solutions, 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, excellent verbal and written communication skills, flexibility to pitch in where needed across program and team, strong influence and teamwork skills, sound problem resolution, judgment, negotiating, and decision-making skills, and experience working effectively with global teams in multiple time zones. A B.S. Degree in Computer Science or a related field, or an equivalent combination of professional development training and experience, is required.
The Staff Cloud Infrastructure Engineer will automate infrastructure & platform services in Public Clouds AWS using IaC tools such as Terraform, design and manage Continuous deployment using Kubernetes, ArgoCD and Jenkins, monitor applications and services within the environments and be part of the on-call rotation to resolve issues and implement strategies to prevent future occurrences, configure and manage observability tools such as Instana, SumoLogic, Datadog for application performance monitoring, alert integration with Slack and PagerDuty, learn about technologies outside of your realm of expertise that help drive innovation and robust solutions, work collaboratively with engineering to develop/deploy our systems, work with global team and participate in on-call support.
Digital wallet and lending platform for underserved
Tala operates as a digital wallet and lending platform that focuses on providing financial services to individuals who are often overlooked by traditional banks. The platform uses artificial intelligence and machine learning to create a personalized financial experience for its users. Customers can access instant credit, transfer money easily, and pay bills all through a single app. Tala's unique data tools allow it to serve a diverse range of customers, including those without access to conventional banking. The company generates revenue through interest and fees on the credit it offers, as well as transaction fees for money transfers and bill payments. Operating in multiple countries across three continents, Tala adapts its services to different markets while aiming to enhance the financial well-being of its users by providing tailored credit lines and financial advice.