DevOps Engineer with Python

Ness is seeking an Sr DevOps/Automation Engineer. This role will assist with building out an on-premises failover environment and onboarding of all critical Renaissance applications in clearing, settlement, and risk pillars.

Responsibilities :

• As a DevOps engineer setup CI/CD pipeline for application deployment
• Automation of DevOps tools, Application Deployment, certificate management using Python/Java
• Work in the DevOps team, to build new shared infrastructure services for on premises failover environment: Rancher, Kubernetes, Hashicorp Vault, Cloudian/S3, Kafka, Databases
• Work with different teams to establish connectivity between new failover shared services and existing shared services: Secret, identity, LDA, DNS, Artifactory, Jenkins, Splunk services
• Work with DevOps team to automate deployment DR strategy Automation of data replication between Cloud and failover environment required between all applications
• Automate manual steps and processes
• Continuously improve the processes and the DevOps team using thoughtful, calculated approaches to identify opportunities, and challenge those around you to strive for perfection.
• 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

Key Skills:

• Hands-on experience on security tools like Hashicorp Vault, Veracode, certificate generation tools like Venefi, etc.
• Expertise in scripting languages such as Groovy, YAMLs, Python/Java, Bash, or PowerShell for automation and orchestration
• Expertise on Jenkins, Terraform, GitHub, Rancher/K8 and Artifactory

Must have:

• Deep expertise in automation using Python/Java and corresponding libraries
• We need someone who's really good at setting up CI/CD pipelines using DevOps tools like Jenkins, Artifactory, Vault, SonarQube, GitHub, Terraform, Rancher, and Harness. It's also important that they have experience with deploying on Kubernetes using Rancher or Harness. Plus, they should know about deploying Kafka MRC and using monitoring tools like Logic Monitor and Splunk. And it'd be great if they have experience with AWS services, especially setting up S3 with Cloudian, and know how to do S3 replication.
• Experience with K8 and S3/Cloudian for shared infra
• Specializing in Cloud Infrastructure Modernization, virtualization, data center setup, DR & BC Strategies, and DevOps
• Experience in on-premises data center operations and operations management
• Pilot Kafka data replication between AWS and On-Prem
• Pilot PostgreSQL to run in AWS and On-Prem and the data replication between them
• 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/Java or other languages.
• Experience managing helm charts and deploying into Kubernetes (k8s)
• Expertise with monitoring related tools and frameworks like Splunk, LogicMonitor, SignalFX, and Prometheus.
• 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.

Good to Have

• Knowledge of setting up CI/CD pipelines for streaming Flink based applications is an added advantage