DevOps Engineer with (Python/groovy/Java)
Job Description
This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.
Written by AI from the job title and company, not by Leidos, so some details may not match this job. The employer's own page has the real description.
Job Overview
The DevOps Engineer at Leidos plays a crucial role in automating and optimizing our operational processes while ensuring seamless integration between software development and IT operations. This position requires expertise in programming languages such as Python, Groovy, and Java, along with a strong understanding of Continuous Integration/Continuous Deployment (CI/CD) practices. The ideal candidate will collaborate with cross-functional teams to enhance system reliability, improve deployment processes, and drive innovative solutions to streamline workflows.
Job Responsibilities
- Design and implement CI/CD pipelines to automate deployment and testing processes.
- Collaborate with development and operations teams to maintain and optimize cloud infrastructure.
- Manage configuration management tools to ensure consistent environment setup.
- Monitor system performance and troubleshoot issues to ensure high availability and reliability.
- Develop and implement scripts for automation using Python, Groovy, or Java.
- Conduct regular security assessments and apply best practices for system security.
- Document operational processes and provide training to team members as necessary.
- Stay up-to-date with industry trends and emerging technologies to drive continuous improvement.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 3+ years of experience in a DevOps or related engineering role.
- Proficiency in at least one programming language: Python, Groovy, or Java.
- Strong knowledge of CI/CD practices and tools (e.g., Jenkins, GitLab CI, CircleCI).
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with containerization technologies (Docker, Kubernetes).
- Solid understanding of configuration management tools (e.g., Ansible, Puppet, Chef).
- Excellent problem-solving skills and ability to work under pressure.
Technologies & Tools
The DevOps Engineer will primarily utilize technologies such as AWS or Azure for cloud services, Docker and Kubernetes for containerization, Jenkins for CI/CD pipelines, and tools like Ansible or Chef for configuration management. Additionally, the engineer will work with monitoring solutions such as Prometheus or Grafana to ensure the reliability and performance of applications and systems.
Ideal Candidates
The ideal candidate for this position possesses a proactive attitude and a strong collaborative spirit, working effectively in a dynamic team environment. Candidates should demonstrate strong analytical skills and a passion for continuous improvement and automation. Furthermore, they are adaptable, eager to learn new technologies, and committed to achieving high-quality outcomes in both individual tasks and team projects.
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