AWS Solution Architect

Who are we?

Vola Finance is a fast-growing fintech company revolutionizing the way people access and manage their finances. Our platform empowers individuals to improve their financial health and gain control over their spending with innovative tools and solutions. We are backed by industry-leading investors and are committed to building products that make a meaningful impact on our users' lives.

Who are the founders?

Our founding team consists of passionate leaders with deep expertise in finance and technology. They bring a wealth of experience from global companies and are dedicated to fostering a culture of innovation, collaboration, and excellence.

Roles & Responsibilities

To create structural and scalable microservice architecture with the help of AWS  and Python

To build serverless Aws architecture with the help of services like Glue, Lamda, Redshift etc

To manage AWS infrastructure and IAM policies and build DevOps / MLops and Data pipelines based on business needs

To implement AWS network architecture using ( Load balancers, subnet securities, etc)

To create and manage CICD pipelines and Deploy software using CI / CD tools such as CircleCI, Jenkins, etc.

To build a Monitoring setup on AWS resource health and Security using CloudWatch, Cloud Trail and X-Ray

To build SQS Que-based API request-response flow

To develop SQL structures that support high volumes and scalability using RDBMS such as SQL Server, MySQL, Aurora, etc.

To model and design modern data structures, SQL / NoSQL databases, Data Lakes, Cloud Data Warehouse

Ensure system security through access controls, firewalls, and regular audits

Participate in incident management and root cause analysis

Mandatory Technical skill set

AWS Certified Solutions Architect – Professional is a must criteria

Previous hands-on experience in  [ EC2, S3, ECS, EMR, VPC, Subnets, Cloudwatch, Cloudtrail, Lamda, Sage maker, RDS, SES,SNS , IAM, S3, backup, SQS, AWS WAF )

Python Programming

Design, implement, and maintain CI / CD pipelines using tools such as Jenkins, GitLab CI / CD, or GitHub Actions

Implemented and managed containerisation platforms such as Docker and orchestration tools like Kubernetes