About the Role:
We treat Infrastructure and operations as Software Engineering problems. Our mission is to build and progress software platforms which enables the provisioning and managing of all Digibank services in safe, reliable and scalable ways. We consistently challenge the status quo, use new technologies to build platforms and tooling for engineering teams. In this role you will make significant decisions with a huge impact on building modern banking technology. You would be part of a team, responsible for designing & architecting new solutions, finding creative ways to optimize existing solutions which will improve agility for managing hundreds of microservices infrastructures in a stable & reliable way.
If you are:
- A strong believer of automating DevOps & SRE aspects like infrastructure provisioning, deployment, observability, incident lifecycle, uptime SLA etc.
- Bold to challenge, open to get challenged, curious to learn & grow
This is the right place for you!
Roles and Responsibilities:
- Using InfrastructureAsCode tooling like Terraform or Ansible to manage AWS resources
- Troubleshoot priority incidents, facilitate blameless post-mortems and ensure permanent closure of incidents
- Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions
- Build and maintain CI/CD pipelines for the bank.
- Build and drive adoption for greater self-healing and resiliency patterns
- Performance and cost optimization for infrastructure
- Be part of an on-call rotation for the team's tooling and 24x7 support coverage as needed
- Succeed, fail, and learn together with other talented people. We believe in an environment that provides an opportunity for growth and see education as an outcome of failure that gets us closer to the next breakthrough
- Collaborate closely with other teams to strengthen internal security protocols and industry compliance standards.
Qualifications:
- Bachelor's degree in information systems, information technology, computer science, or similar.
- 3-5 years of professional experience working with Cloud technologies, AWS is preferred.
- Have strong knowledge of one or more infrastructure components such as Kubernetes, Kafka, networking.
- Automation experience using any scripting language (Python, Go, Perl, Bash) or workflow.
- Experience with managing Infrastructure as code using Terraform
- Direct production operations experience in a cloud environment.
- Having certification(s) on Kubernetes and AWS is a strong plus
