Role Overview:
We are looking for a highly skilled and motivated Back Testing DevOps Automation to join our team.
The ideal candidate will have hands-on experience in batch planning and automation, with a strong background in Unix and Windows environments, scripting, and DevOps tools.
A basic understanding of Java and Python programming, as well as experience with modern containerization and environment management tools, will be an added advantage.
Key Responsibilities
- Plan, schedule, and manage batch workflows using Control-M and Jobs-as-Code principles.
- Monitor, troubleshoot, and resolve batch execution issues in Unix and Windows environments.
- Write and maintain Bash scripts to automate and streamline processes.
- Collaborate with cross-functional teams using Confluence and Jira for documentation and project tracking.
- Use ServiceNow to manage incidents, requests, and changes related to batch workflows.
- Manage source control with Git and integrate workflows with GitHub Actions for CI/CD pipelines.
- Utilize testing frameworks for Java and Python to ensure the quality of job automation processes.
- Work with containerization tools like Docker and environment managers like Conda, Pyenv, and Miniconda to create isolated and reproducible environments.
- Collaborate with developers to understand and optimize batch dependencies for Java and Python applications.
Required Skills & Experience
- DevOps continuous improvement process responsilities
- Proven experience in batch planning and scheduling using Control-M and Jobs-as-Code.
- Strong knowledge of Unix and Windows operating systems.
- Proficiency in Bash scripting for automation.
- Experience with collaboration tools like Confluence and Jira.
- Familiarity with incident and change management tools like ServiceNow.
- Hands-on experience with version control systems like Git and CI/CD workflows using GitHub Actions.
- Basic knowledge of Java and Python programming languages.
- Understanding of containerization tools like Docker and environment management tools such as Conda, Pyenv, and Miniconda.
About Us:
Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” [EngineeringAI] methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration, to address critical challenges of trust, speed, and capital. For more information, please go to www.ascendion.com
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