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Job Title


Python Fullstack (AWS Cloud)


Company : RapidBrains


Location : Dombivli,


Created : 2025-07-25


Job Type : Full Time


Job Description

Job Position : Python Fullstack Developer + AWS Cloud Experience : 7+ Years Location : PAN India Notice Period : 0-45 Days We are seeking a highly skilled Senior Cloud Engineer to lead the design, development, and deployment of scalable, secure, and reliable cloud-native applications on AWS. The ideal candidate will have extensive experience with AWS services, container orchestration, Infrastructure as Code (IaC), and CI/CD pipelines, along with a passion for mentoring and building high-performing engineering teams. Key Responsibilities: Design and develop cloud-native applications on AWS , ensuring scalability, reliability, and security. Build and manage containerized environments using Kubernetes , EKS , or OpenShift . Develop and manage Infrastructure as Code (IaC) using Terraform or AWS CDK . Implement and maintain CI/CD pipelines using tools such as GitLab CI , GitHub Actions , Jenkins , or ArgoCD . Collaborate with cross-functional teams to deliver production-ready solutions with a strong focus on quality. Mentor junior developers and participate in code reviews and architecture discussions . Monitor and optimize system performance using observability tools like Datadog . Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. AWS or other cloud certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) are a strong plus. Excellent communication, collaboration, and leadership skills. Must-Have Skills (5+ Years): Proficiency in TypeScript , Python , Go , or similar languages. Strong hands-on experience with AWS Serverless technologies such as AWS Lambda . Expertise in Amazon RDS , DynamoDB , and other AWS-managed database services. Deep understanding of containerization tools including Kubernetes , EKS/ECS , or OpenShift . Proven track record of building and managing CI/CD pipelines . Familiarity with tools such as Git , Jira , and Confluence . Should-Have Skills (3+ Years): Experience with AWS Networking components (e.g., API Gateway ). Hands-on with AWS Storage services (e.g., S3 ). Exposure to AWS AI/ML services (e.g., SageMaker , Bedrock , Amazon Q ). Proficient in Infrastructure as Code with Terraform or AWS CDK . Nice-to-Have Skills (1+ Year): Experience with Contact Center solutions like Amazon Connect . Knowledge of secrets management using HashiCorp Vault . Familiarity with Kafka platforms (Apache Kafka, Confluent, Amazon MSK). Exposure to multi-cloud environments (Azure, GCP). Monitoring experience using tools like Datadog , Dynatrace , or New Relic . Understanding of FinOps and cloud cost optimization best practices. Experience with SSO technologies (OAuth2, OpenID Connect, JWT, SAML). Working knowledge of Linux and shell scripting.