• Deep understanding of AWS services (Lambda, S3, SQS, IAM, Route 53 etc.) and proficiency in infrastructure as code (e.g., Terraform, CloudFormation)
• Hands-on experience with monitoring tools such as CloudWatch, Sumo Logic, Dynatrace, Grafana, or similar for application performance monitoring and alerting.
• Proficiency in scripting and automation (e.g., Python, Bash) to build and maintain deployment pipelines and infrastructure.
• Strong analytical and troubleshooting skills to diagnose and resolve complex infrastructure and application,data issues.
• Experience with containerization (Docker, Kubernetes) and serverless architecture (AWS Lambda)

Required Skillset

Manage and optimize data streaming and API components in OpenShift Onpremise and AWS.

Proactively review the application's APIs and processes to identify opportunities to optimize the response times for various application components.

Automate various types of testing including data quality checks, automate delivery to production and automate deployment for production

Develop integrations between the application in Onpremise and AWS and our third-party tools (ServiceNow, VersionOne, Sumo)

Work with teams to create SLI/SLO's

Actively monitor and lead troubleshooting of degraded performance and hard to define issues for the platform applications, develop the solution and document artifacts in the back log from root cause analysis.

Evolve the cloud infrastructure ecosystem for our application suite by experimenting with emerging technologies and completing prototypes to understand benefit

Design and develop CI/CD pipeline to deploy various application artifacts, including APIs and Data Process Jobs. Analyze, design and develop the artifacts to configure the monitoring and alerting metrics so the support engineers can proactively and timely validate, troubleshoot and resolve the issues.

Maintain data integrity and access control by using AWS security tools and services such as HSM, IAM, etc.

Understand and develop tools to monitor AWS billing for the services, generate cost related reports and help develop and implement cost optimization strategies.

Desired Skillset:

Deep understanding of the operations of AWS cloud platforms.

Must be well versed in the automation, scripting, monitoring, including use of tools from the major cloud platforms, including but not limited to OpenShift Cloud Formation, Terraform, Ansible, Shell, Python

Preferable for candidates with significant technical knowledge with infrastructure layers, including but not limited to: Linux OS, major virtualization platforms, Traditional and software defined network, Load Balancers