Posted Sep 24, 2026 30 views
NeuroOceans AI is a forward-thinking software company specializing in artificial intelligence, machine learning, and natural language processing. The company develops advanced AI-driven solutions that help businesses optimize operations, uncover actionable insights, and simplify complex workflows. With a strong emphasis on innovation and collaboration, NeuroOceans AI partners closely with clients to keep them at the forefront of technological and market trends. The work environment encourages continuous learning and empowers team members to explore the full potential of AI in real-world applications.
The DevOps Engineer role is a full-time, on-site position based in the Lahore District. This role involves close collaboration with development and operations teams to ensure the reliable, scalable, and secure delivery of AI-based software products. The engineer will be responsible for designing and maintaining continuous integration pipelines, managing infrastructure as code, and administering Linux systems across production and staging environments. Daily tasks include monitoring system performance, troubleshooting issues, automating routine processes, and refining deployment workflows. The engineer will also focus on standardizing environments, improving observability, and establishing best practices for release management and system reliability. Coordination with software engineers, data scientists, and product teams is essential to support rapid and high-quality software delivery.
Key Responsibilities:
- Design, implement, and maintain CI/CD pipelines to support efficient software delivery.
- Manage infrastructure as code using tools such as Terraform, CloudFormation, or equivalents.
- Administer and optimize Linux-based production and staging environments.
- Monitor system performance, troubleshoot issues, and automate routine operational tasks.
- Enhance deployment workflows and standardize environments to improve reliability.
- Collaborate closely with cross-functional teams including software engineers and data scientists.
- Implement monitoring, logging, and alerting solutions to maintain system health.
- Contribute to best practices in release management and system scalability.
Required Qualifications:
- Strong expertise in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or similar platforms.
- Proficient software development skills in languages such as Python, Go, Java, or comparable languages to build automation tooling and integrations.
- Hands-on experience with CI/CD tools including Jenkins, GitLab CI, GitHub Actions, or similar.
- Solid system administration capabilities covering server management, network configuration, security, and performance tuning.
- Advanced knowledge of Linux operating systems for troubleshooting and optimization in production environments.
- Ability to work effectively in collaborative, cross-functional teams with clear communication and documentation skills.
- Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
Preferred Qualifications and Benefits:
- Experience with containerization and orchestration technologies such as Docker and Kubernetes is highly advantageous.
- Familiarity with monitoring and logging tools like Prometheus, Grafana, or the ELK stack to support system observability.
- Prior work experience in AI, data-intensive, or cloud-native environments is a plus.
- Opportunity to work in a culture that values innovation, continuous learning, and impactful AI applications.
This role offers the chance to contribute to cutting-edge AI solutions within a dynamic and collaborative team environment, helping shape the future of intelligent software systems.
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