Cloud DevOps Engineer
Build secure, automated and observable cloud delivery platforms with AI-assisted operations, controlled production changes and clear accountability.
Job Description
Mission Nexum is looking for a Cloud DevOps Engineer to automate software and infrastructure delivery across cloud and hybrid environments. The role focuses on repeatable deployments, platform reliability, observability, security and fast recovery from failure. What you will do - Build and maintain controlled CI/CD pipelines with GitLab CI, Jenkins or equivalent workflows - Provision infrastructure through Terraform, Ansible and reusable infrastructure-as-code modules - Operate containerized services and Kubernetes platforms across Google Cloud, Microsoft Azure and AWS - Implement monitoring, logging, tracing and alerting with Prometheus, Grafana and OpenTelemetry - Apply IAM, secrets management, network and supply-chain security controls throughout delivery - Define runbooks, service indicators, recovery procedures and operational readiness checks - Investigate incidents and recurring failure modes, automate preventive actions and improve resilience - Create self-service delivery patterns with clear guardrails for application, data, ML and AI teams This job posting is addressed to both genders, in compliance with laws 903/77 and 125/91 on equal treatment in the workplace and against gender discrimination. We welcome candidates of all ages and nationalities, in accordance with legislative decrees 215/03 and 216/03. Nexum also encourages applications from people with disabilities, in compliance with current regulations.
How AI supports the role
Use approved AI tools to draft and review infrastructure code and pipelines, query telemetry, correlate incident evidence, generate tests and maintain runbooks. Suggested commands, configurations and root-cause hypotheses are verified against the real environment. Production-impacting changes require human approval and controlled automation.
Tool choices vary by project. AI-assisted work remains subject to human review, security controls and documented validation.
What You Bring
Infrastructure as Code
Terraform, Ansible and reusable cloud infrastructure modules.
CI/CD & Automation
Controlled pipelines, automated tests and repeatable releases.
Containers & Kubernetes
Deployment and operation of containerized production services.
Reliability & Security
Observability, incident response, IAM, secrets and secure delivery.
How We Work
AI-Assisted Engineering
Approved AI tools accelerate analysis, implementation and documentation; people remain accountable for every released artifact.
Production Perspective
The work connects design, delivery, observability and continuous improvement rather than stopping at isolated prototypes.
Evidence & Traceability
Decisions are supported by tests, metrics, provenance and documented trade-offs.
Cross-Functional Delivery
Cloud, data, AI, security and business requirements are connected around real operating constraints.
