Job Description Below:- Position: DevOps Python Automation Engineer Location: Remote • Seeking an Automation/DevOps Engineer with Python/scripting expertise. • The customer is required by regulators to demonstrate the ability to run all clearing and risk systems through an internal datacenter (“On-Prem”) and to switch all production functionality running through On-Prem within the predefined SLA. • The newly developed clearing and risk systems take advantage of scalability, ease of provision, and the reduced cost offered by cloud services (AWS) and the cloud offered Multi-Region as a Disaster Recovery (DR) strategy. • The ideal candidate will have experience in Python and other scripting languages in application development, combined with integration with DevOps Tools and services. • This role involves designing and building applications, collaborating with cross-functional teams, and contributing to high-quality code delivery. Responsibilities: • As an Automation/DevOps Engineer, set up a CI/CD pipeline and automation for application deployment in Kubernetes • Python F/S developer who is experienced in both Frontend and backend (50%/50% would be optimal) • Design, develop, and maintain scalable and efficient applications • Implement and maintain seamless integration between services and DevOps Tools • Work with the DevOps team to automate the deployment of the DR strategy. • Automation of data replication between the Cloud and the failover environment is required between all applications and shared services CI/CD deployment tools • Continuously improve the processes and the DevOps team using thoughtful, calculated approaches to identify opportunities and challenge those around you to strive for perfection • Set up IaC pipelines using TFE and Ansible to automate the Infra deployments • Work closely with the Platform Engineering Team, the Infra Team, and project managers to align project deliverables with business requirements. • Work in the DevOps team, to build new shared infrastructure services for an on-premises failover environment: S3, Confluent Kafka, Data Store • Ideate solutions to complex technical challenges; code, test, troubleshoot, debug, and document the solutions you develop. • Use an agile software development model to produce well-designed programs, scripts, and tools required to provision, configure, and monitor new shared infrastructure services for an on-premises failover environment Must have: • We need someone who's good at setting up automation using Python for Automation along with DevOps tools like Jenkins, Artifactory, Confluent CFK, Kubernetes, Vault, SonarQube, GitHub, Terraform, Ansible, Rancher, and Harness. • Plus, he/she should know how to diagnose and debug complex issues across applications, collaborating with teams to ensure efficient resolution. • And it'd be great if he/she has experience with AWS services and on-prem as a hybrid environment. • Code Quality: Ensure high standards of code quality through unit testing, code reviews, and adherence to best practices. • Performance Optimization: Identify and resolve performance bottlenecks in applications and optimize integration with the Snowflake backend. • Documentation: Develop and maintain comprehensive documentation, including code comments, technical specifications, and user guides. • Security Compliance: Ensure that all development practices adhere to security standards and data governance policies, particularly in the financial services industry. • Specializing in Cloud Infrastructure Modernization, virtualization, data center setup, DR & BC Strategies, and DevOps • Experience in on-premises data center operations, AWS-hosted data center, and operations management • Hands-on experience with migration tools • Experience with continuous deployment tools, techniques, and automation frameworks – especially Terraform Enterprise and Ansible. • Hands-on experience writing testable scripts using Python or other languages. • Worked on projects involving deployment and management of micro services, and hybrid cloud/on-prem infrastructure • Intermediate working knowledge of development tools like Maven/Gradle, Java, and distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc.