Lead Software Engineer, Managed Database, ITC

As a Lead Software Engineer, you will play a crucial role in architecting, modernizing, and leading the development of scalable, production-grade managed database platform as services.

Deep working experience on Kubernetes, Docker, Jenkins, Argo CD etc.,

Install, Configure and Maintain Kubernetes Clusters

Working experience of infrastructure as code tools, such as Helm, Kustomize, or Terraform.

Implementation of Open Source Projects in K8s.

Ability to set up monitoring, logging, and alerting for Kubernetes clusters.

Implementation of Kubernetes security best practices, like RBAC, network, and pod security policies

Experience with container runtimes like Docker

Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation

Design, implement, and maintain robust CI/CD pipelines using Jenkins for efficient software delivery.

Manage and optimize Artifactory repositories for efficient artifact storage and distribution.

Architect, deploy, and manage AWS EC2 instances, Lambda functions, Auto Scaling Groups (ASG), and Elastic Block Store (EBS) volumes.

Collaborate with cross-functional teams to ensure seamless integration of DevOps practices into the software development lifecycle.

Monitor, troubleshoot, and optimize AWS resources to ensure high availability, scalability, and performance.

Implement security best practices and compliance standards in the AWS environment.

Develop and maintain scripts in Python, Groovy, and Shell for automation and core engineering tasks.

Deep expertise in at least one of the technologies - Python, React, NodeJS

Good Knowledge on CI/CD Pipelines and DevOps Skills – Jenkins, Docker, Kubernetes etc.,

Collaborate with product managers to scope new features and capabilities.

Strong collaboration and problem-solving skills.

7-10 years of experience in designing and building production-grade platforms.

Technical expertise in Kubernetes, AWS Cloud Services and cloud-native architectures.

Advanced proficiency in C#, SQL, databases, cloud automation, and AWS.

Strong understanding of PaaS architecture and DevOps tools like Kubernetes, Jenkins, Terraform, Docker

Familiarity with governance, security features, and performance optimization.

Keen attention to detail with a growth mindset and the desire to explore new technologies.