About the position
Work as key participant in large scale planning of computer systems and network infrastructure for Systems Operations functional area. Collaborate and consult with technical peers, colleagues, and mid to more experienced level managers to resolve systems support issues and achieve goals. Design, implement, and manage CI/CD pipelines for Java applications using tools like Jenkins, GitLab CI, Harness, Azure DevOps. Automate application builds, testing, and deployments across multiple environments. Collaborate with development teams to integrate DevOps best practices into the software lifecycle. Manage infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation. Monitor application and system performance, and proactively address issues. Maintain configuration management and version control across environments. Troubleshoot and resolve issues related to deployments, builds, and system integrations. Ensure security, scalability, and reliability across all DevOps processes.
Responsibilities
- Participate in large scale planning of computer systems and network infrastructure.
- Collaborate with technical peers and managers to resolve systems support issues.
- Design, implement, and manage CI/CD pipelines for Java applications.
- Automate application builds, testing, and deployments across multiple environments.
- Integrate DevOps best practices into the software lifecycle.
- Manage infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation.
- Monitor application and system performance and proactively address issues.
- Maintain configuration management and version control across environments.
- Troubleshoot and resolve issues related to deployments, builds, and system integrations.
- Ensure security, scalability, and reliability across all DevOps processes.
Requirements
- 4+ years of Systems Engineering, Technology Architecture experience, or equivalent experience in DevOps, with focus on Java-based applications.
- 3+ years of experience troubleshooting environments across the entire ecosystem (i.e. applications to infrastructure), identifying root cause, fixing, and documenting problems, and implementing preventive measures.
- Bachelor's degree in computer science, Engineering, or a related field.
- Hands-on experience with CI/CD tools (e.g., Jenkins, Harness, GitLab CI, Bamboo, Azure DevOps).
- Strong scripting skills (e.g., Shell, Python, Groovy).
- Experience with containerization tools (Docker, Kubernetes).
- Familiarity with cloud platforms (Redhat OCP, AWS, Azure, GCP).
- Knowledge of configuration management tools (e.g., Ansible, Chef, Puppet).
- Experience with Git and branching strategies.
- Good understanding of microservices architecture and RESTful APIs.
- Experience in performance monitoring and log management tools (e.g., Prometheus, Grafana, ELK Stack).
- Familiarity with service mesh and API gateways.
- Cloud certifications (Redhat OCP Certified, AWS Certified DevOps Engineer, Azure DevOps Engineer, etc.) are a plus.
Nice-to-haves
- Systems engineering, technology architecture, software development experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
- Experience working with an Enterprise Content Management (ECM) system or Service Oriented Architecture Enablement or platform technologies or cloud native tech stack.
- Knowledge and experience in handling L2/L3 production support functions and troubleshooting production issues.
- Knowledge of ServiceNow, OS (Windows/Unix), scripting (PowerShell/shell-script), DBs (SQL/Oracle), deployment tools (UCD/Harness), load-balancing solutions (AVI/AG/F5), network communications, cloud systems (PCF, OCP, Azure, GCP) and other technologies such as Tomcat/Kafka/MQ/FTP/NDM.
- Knowledge of DevOps/RunOps principles and practices and experience with continuous integration deployment pipeline.
- Good communication skills and ability to drive adoption of enterprise capabilities, tools, and innovation improving availability in a multi-app ecosystem by evolving observability, monitoring, logging, synthetic monitoring, and chaos engineering.
