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Hybrid DevOps Python Automation Engineers bei Ness Digital Engineering

Ness Digital Engineering · Chicago, Vereinigte Staaten Von Amerika · Hybrid

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Ness is seeking an Automation/DevOps Engineer with Python/scripting expertise. Customer is required by regulators to demonstrate the ability to run all clearing and risk systems through internal datacenter (“On-Prem”) and to be able to switch all production functionality running through On-Prem within the predefined SLA. The newly developed clearing and risk systems takes advantage of scalability, ease of provision, and the reduced cost offered by cloud services (AWS) and the cloud offered Multi-Region as Disaster Recovery (DR) strategy. The ideal candidate will have experience in Python and other scripting languages 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 Automation/DevOps Engineer, setup 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 DevOps team to automate deployment DR strategy Automation of data replication between Cloud and failover environment 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
  • Setup IaC pipelines using TFE and Ansible to automate the Infra deployments
  • Work closely with Platform Engineering Team, Infra Team, and project managers to align project deliverables with business requirements.
  • Work in the DevOps team, to build new shared infrastructure services for 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 agile software development model to produce well-designed programs, scripts, and tools required to provision, configure, and monitor new shared infrastructure services for 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 about 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 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 migrations 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.
 
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