.. penetration and growth. P&L Management: Take ownership of profit and loss management, overseeing financial performance metrics and implementing strategies to maximize revenue and profitability. Business Operations Optimization: Streamline business operations, enhance processes, and drive efficiencies .. read more
BASIC PURPOSE: Cloud Engineer who will be responsible for the plan, design, as well as deployment automation of platform solutions on AWS. Instrumental in profiling and improving front-end and back-end application performance, mentor team members and take end to end technical ownership of applications. Must be able to stay on top of technology changes in the market and continuously look for opportunities to leverage new technology. ESSENTIAL FUNCTIONS: Design, build and implement performant and robust cloud platform solutions. Design and build data pipelines for supporting analytical solutions. Provide level of effort estimates to support planning activities. Provide microservices architecture and design specifications. Fix defects found during implementation process or reported by the software test team. Support software process definition and improvement initiatives and release process working with DevOps team in CI/CD pipelines developed with Terraform and CDK as Infrastructure-as-Code. Execute security architectures for cloud systems. Understand and recognize the quality consequences which may occur from the improper performance of their specific job; has awareness of system defects that may occur in their area of responsibility, including product design, verification, and validation, and testing activities. Mentor less experienced team members. Collaborate with Product Designers, Product Managers, Architect and Software Engineers to deliver compelling user-facing products. QUALIFICATIONS : Bachelor’s degree in Computer Science / related engineering field OR equivalent experience in related field. 10+ years of experience in cloud application development. Expert proficiency in Javascript / TypeScript. Experience in architecting and developing event driven cloud-based solutions. Experience in AWS services including API Gateway, AppSync, Amplify, S3, CloudFront, Lambda, ECS/Fargate, Step Functions, SQS, Event Bridge, Cognito, Dynamo, Aurora PostgreSQL, OpenSearch/Elasticsearch, AWS Pinpoint. Extensive experience in developing applications in POSIX compliant environments. Strong knowledge of containerization, with expert knowledge of either Docker or Kubernetes. Proficient in IAM security and AWS Networking. Expert understand of building and working with CI/CD pipelines. Experience in designing, developing and creating data pipelines, data warehouse applications and analytical solutions including machine learning. Deep cloud domain expertise in: architecture, big data, microservice architectures, cloud technologies, data security and privacy, tools, and testing Excellent programming skills in data pipeline technologies like Lambda, Kinesis, S3, EventBridge and MSK