Benefits

Full Job Description

Role Overview This role is part of the AI, Platform Engineering & DevX (APEX) team to act as a software engineer of Managed Database teams under Managed Data Platform area. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. What You Will Do As a Software Engineer, you will play a crucial role in architecting, modernizing, and leading the development of scalable, production-grade managed database platform as services. Why It Might Be a Fit The company seeks achievers, leaders and visionaries. You are someone who thrives in building scalable, high-performance self-service platforms to improve efficiency, insights, and user experience. Requirements 3-4 years of experience in software development, deployment, and lifecycle management Proven track record of architecting large-scale, distributed systems in AWS Experience Building end to end CI/CD pipeline to build, test and deploy to different AWS environments such as lambda, EC2,ECS , EKS etc. Proficiency in C#, SQL, databases, cloud automation, and AWS Familiarity with software engineering best practices – including unit tests, code review, version control, production monitoring, etc. Proficient in managing cloud-native platforms, with a strong PaaS (Platform as a Service) focus. Knowledge of software engineering best practices including version control, code reviews, and unit testing. A proactive approach with the ability to work independently in a fast-paced, agile environment. Strong collaboration and problem-solving skills. Experience with DevOps, CI/CD, containerization (Docker, Kubernetes), and Crossplane Excellent communication, stakeholder management, and strategic planning skills Benefits 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.,

Skills and Technologies