Aws Cloud Engineer Job in Databeat

We are looking for an experienced AWS Engineer responsible for making our platform more scalable and reliable. You will be responsible for deploying and debugging cloud stacks, monitoring cloud usage, educating teams on new cloud initiatives, and ensuring the scalability and security of the cloud infrastructure

Location: Hyderabad
Work Hours: 10AM 7PM
Years of Experience: 2-5 years
Employment Type: Full-time

Must-Have:

• 2-5 years of experiencein Provisioning / Monitoring / Troubleshooting in below AWS services and
• functions AWS Account access, API Gateway, AutoScaling, CloudFormation, CloudFront,
• CloudWatch, Cognito, EC2, Elasticache, Elasticsearch, IAM / Key Management Service, Lambda,
• Step Functions, S3/ EFS, DynamoDB, Athena, RDS, Redshift
• Working knowledge of Amazon Web Services Products & Services, Relational and NoSQL
• Databases, Caching, Object and Block Storage, Scaling, Load Balancing, CDNs, Terraform,
• Networking etc
• Strong design skills for individual applications (solution architecture) and across applications
• (enterprise architecture)
• Should be proficient in the understanding of SDLC, Agile and DevOps development methodologies
• with automated provisioning/config Management
• Should be aware of AWS based development environments (Sandbox, QA, UAT, Prod etc.)
• Proficient with Git, GitLab, CI/CD Pipelines
• Experience with release, change and configuration management
• Knowledge of cloud monitoring tools (Datadog, AppDynamics, CloudTrail) and ability to estimate
• usage costs and identify operational cost control mechanisms
• Understand the current application infrastructure and define best practices and strategies
• regarding application deployment and infrastructure maintenance
• Having an AWS certification is preferred
• Self-driven and able to work independently with minimal direction, as well as in collaboration with team members, and provide direction/guidance to junior staff

Good to Have:

• Sound understanding of various data solution patterns and when to use them: ETL/ELT, RDBMS,
• Normalization/De-normalization, Key-Value, In-Memory, Wide Column, Columnar, Graph, Text
• Indexing, Streaming
• Experience in Python, ReactJS, ReactNative, Jira
• Experience in Data Modeling skills
• ETL using SQL and python