DevOps Engineer

Company Description Neocuz Technologies helps mid-size businesses identify where AI investments create measurable financial value and then takes those solutions from design to production. The company works directly from clients’ P&L data, tying every AI recommendation to metrics that finance teams already track. Neocuz follows a structured four-stage approach—Assess, Blueprint, Build & Launch, and Retain—to ensure AI systems are operationally sound, auditable, and aligned with business priorities. Governance, explainability, and audit trails are built into every solution, and clients fully own the resulting code, models, pipelines, and documentation. The team is committed to advising where AI should and should not be used, with a focus on measurable outcomes and avoiding vendor lock-in.
Role Description This is a full-time, on-site DevOps Engineer role based in Salem. The DevOps Engineer will design, implement, and maintain scalable infrastructure to support AI and data-driven applications, ensuring reliability, security, and performance. Day-to-day responsibilities include managing CI pipelines, automating deployments, and using Infrastructure as Code to provision and update environments consistently. The role involves administering Linux-based systems, monitoring system health, troubleshooting incidents, and optimizing resource usage. The DevOps Engineer will collaborate closely with software developers, data engineers, and business teams to integrate new features into existing workflows, improve release processes, and maintain clear documentation for infrastructure and operations.
Qualifications
Candidates should possess strong Infrastructure as Code (IaC) skills, with experience in tools such as Terraform, CloudFormation, or similar solutions.
Candidates should possess Software Development skills, including scripting or programming (e.g., Python, Go, or shell), to automate tasks and integrate systems.
Candidates should possess Continuous Integration skills, with hands-on experience in CI tools (e.g., GitHub Actions, GitLab CI, Jenkins) and automated testing pipelines.
Candidates should possess System Administration skills, including Linux system management, monitoring, performance tuning, and security hardening.
Relevant skills and qualifications that would be beneficial include experience with cloud platforms (AWS, Azure, GCP), containerization and orchestration (Docker, Kubernetes), and observability tools (Prometheus, Grafana, ELK).
Additional beneficial qualifications include familiarity with security best practices, configuration management tools (Ansible, Chef, Puppet), and networking fundamentals.
A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, along with strong communication and collaboration skills.

Work arrangement
No