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DevOps & Site Reliability Software Developer [D.24.0188]

Dover Networks LLC
Maryland, MD Full Time
POSTED ON 1/19/2025
AVAILABLE BEFORE 4/19/2025

Requires TS / SCI w / poly.

You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.

Description : We are seeking a talented and enthusiastic DevOps & Site Reliability Software Developer to join our full-stack AI integration software development team. The ideal candidate is a problem-solver at heart, with a passion for learning and adapting to new technologies. You will work in a collaborative environment, focusing on improving our infrastructure, automating processes, and ensuring the reliability and scalability of our AI-driven applications. This role offers an excellent opportunity for a developer who is eager to learn and grow in the fields of DevOps, site reliability engineering, and AI integration. We value candidates who can think critically, communicate effectively, and contribute to our team’s continuous improvement culture.

Responsibilities :

  • Assist in designing, implementing, and maintaining our CI / CD pipelines.
  • Collaborate with development teams to improve code deployment processes and application performance.
  • Help monitor system health, troubleshoot issues, and implement solutions to enhance reliability
  • Participate in rotations to support our production environments.
  • Contribute to the development of infrastructure-as-code and automation scripts.
  • Assist in capacity planning and performance optimization of our AI-driven applications.
  • Collaborate on documentation of processes, runbooks, and best practices.
  • Actively participate in team meetings, code reviews, and knowledge-sharing sessions.

Skills Requirements :

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
  • Basic understanding of Linux / Unix systems and shell scripting.
  • Familiarity with version control systems, preferably Git.
  • Basic knowledge of one or more programming languages (e.g., Python, Go, Java, or JavaScript).
  • Understanding of fundamental DevOps concepts and tools (e.g., Docker, Kubernetes, CI / CD).
  • Strong problem-solving skills and ability to learn new technologies quickly.
  • Excellent communication skills and ability to work effectively in a team environment.
  • Eagerness to learn and adapt to new challenges in a fast-paced environment.
  • Basic understanding of cloud platforms (AWS, Azure, or GCP).

    • Nice to Haves :

  • Experience with configuration management tools (e.g., Ansible, Puppet, or Chef)
  • Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)
  • Basic understanding of database systems and SQL
  • Knowledge of security best practices in software development and infrastructure
  • Experience with or interest in machine learning and AI technologies
  • Contributions to open-source projects or personal coding projects demonstrating initiative and passion for technology
  • We are committed to fostering a diverse and inclusive work environment. We encourage applications from candidates of all backgrounds who are excited about solving complex problems and contributing to our innovative AI integration platform.

    • YOE Requirement : 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

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