SRE

Responsibilities:

• 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
• Work with enterprise security architects to design and implement data security tools, measures, data encryption, key management; design and develop solutions to address the security vulnerabilities discovered by internal security audit team, as well as by the vendors, security community, etc.; design and develop solutions for support team to regularly scan and review to fix security issues
• Regularly and proactively monitor and analyze the capacity and performance of the platform, work with architecture team to design and implement elastic infrastructure to accommodate the irregular burst of user traffic/requests
• Work with architecture team to develop backup strategy and implement the backup solution for critical data and application components for service restoration and disaster recovery purpose
• Work with architecture, infrastructure, and application teams to provide input on continuous improvement on the design, performance and security enhancement
• Implement, improve monitoring, alerting, and logging solutions to detect and respond to incidents
• Collaborate closely with development team to deploy applications and services and ensure they meet reliability and performance standards
• Automate deployment, configuration management, and troubleshooting processes to streamline operations
• Participate in on-call rotation and triage production incidents, lead RCAs, and implement preventive actions
• Be at the forefront of Cloud and Big Data technology
• Establish yourself as a technical leader by exposing yourself to a broad range of industry leading technologies that will help to drive acceleration
• Support highly available, business critical applications
• Serve as the escalation point for complex and hard to define issues in both on premise and AWS environments

Requirements:

• 4 - 6 years of experience
• BS degree in Computer Science or a related technical field or equivalent practical experience
• 3+ years of related DevOps, SysOps engineering experience with focus on major cloud platforms (AWS preferred)
• 2+ years of application development experience including data streaming, deploying/monitoring high availability critical application components
• 1+ Years in Site Reliability Engineering organization preferred
• 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)

Desired skills:

• Deep understanding of the operations of AWS cloud platforms
• 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
• Significant technical knowledge with infrastructure layers, including but not limited to: Linux OS, major virtualization platforms, Traditional and software defined network, Load Balancers,
• firewall, API tools, element/performance/intelligent monitoring tools, storage, backup strategy, etc.
• Significant knowledge and experience in end-to-end operations for enterprise systems and applications, including driving issue resolution for mission critical systems
• Experience working to automate, operationalize and improve the Development/QA using CI/CD tools (Gitlab, GitHub, Jenkins, Maven, Gradle, Nexus)
• Working experience with Software Release Management