Junior DevOps Engineer

Nagarro is hiring a Remote DevOps Engineer (location: Romania). The role focuses on managing GCP (primary) cloud infrastructure with exposure to AWS, performing Kubernetes/GKE operations, supporting CI/CD pipelines (ArgoCD, GitHub Actions), monitoring and incident response (Prometheus, Grafana, AlertForge), and automating infrastructure with Terraform and scripting (Python, Go, Groovy). The position also includes cost optimization, log aggregation (ELK/EFK), service mesh exposure (Linkerd, Istio), and familiarity with MySQL/Postgres/MongoDB.

Remote is hiring a Senior Backend Engineer to work on cross-functional teams building tools, APIs and integrations. The backend stack is Elixir and Phoenix with PostgreSQL; the role involves CI/CD (GitLab), AWS-hosted deployments, automation/AI capabilities and improving agentic/workflow-driven systems. Responsibilities include leading projects, contributing to the shared codebase, mentoring, and operationalizing agentic workflows with verification loops.

Seeking a Senior Cloud Infrastructure/DevOps Engineer to design, build, and maintain Google Cloud (GCP) infrastructure using Terraform, manage CI/CD pipelines (GitHub Actions, Jenkins), and improve observability. Candidate should have 5+ years in cloud or DevOps roles, experience with IAM, networking, containerization (Docker/Kubernetes), scripting (Python/Bash), and familiarity supporting data workloads (BigQuery, Snowflake, dbt) is a plus. Position is 100% remote (São Paulo location listed).

Remote Senior Cloud Infrastructure / DevOps Engineer role focused on Google Cloud Platform. Responsibilities include designing and maintaining GCP infrastructure (IAM, networking, provisioning) with Terraform, building CI/CD pipelines (GitHub Actions, Jenkins), improving observability, and collaborating with data/software engineers. Requires 5+ years in cloud infrastructure/DevOps and hands-on experience with Terraform, CI/CD tools, containerization, and scripting (Python/Bash).

NVIDIA seeks a Senior GPU and HPC Infrastructure Engineer to develop end-to-end automation, monitoring, and lifecycle management for large-scale GPU fleets. The role requires 10+ years of software engineering experience, strong systems programming (Go, Python), Linux administration, expertise in distributed systems, cluster management (Kubernetes, SLURM), and experience with datacenter/GPU hardware and high-performance networking (RDMA, InfiniBand, RoCE).

Lead development and deployment of large-scale LLM training and inference infrastructure, GPU cluster provisioning, model lifecycle management, evaluation frameworks, and data platforms to support RAG and agentic systems. Hands-on work with MLOps tools, distributed training and inference frameworks, containerization/orchestration, IaC, and cloud platforms. US-remote role with a stated base salary range.

NVIDIA seeks a Senior AI Compute Engineer to join the Infrastructure Specialists team to plan, deploy, manage, validate and hand over large-scale AI Compute/HPC systems. Role requires 8+ years of deployment/support experience, Linux system administration, scripting (Bash/Python/Ansible), cluster provisioning, schedulers (e.g., SLURM), benchmarking (HPL, NCCL, MLPerf), Kubernetes, and customer-facing skills. Up to 20% travel within the United States. Salary ranges provided for levels 4 and 5.

The DevOps Engineer II will design, implement, and support automation, deployment, monitoring, and platform reliability across cloud and hosted application environments. Responsibilities include owning build/deploy/release processes, maintaining CI/CD pipelines, provisioning infrastructure via IaC, troubleshooting production issues, participating in incident response and on-call rotations, and applying AI/AIOps and MCP tools to improve operations. The role requires U.S. citizenship or U.S. lawful permanent residency and is a remote, full-time position. Salary range USD 75,000–105,000 per year.

Responsible for monitoring and supporting production services, incident triage and resolution, coordinating recoveries, contributing to root cause analysis and runbooks, and implementing automation to reduce toil. Requires hands-on experience with Unix/Linux, SQL, Kubernetes, log analysis and monitoring tools (e.g., Splunk, AppDynamics, Prometheus), knowledge of ITIL-aligned incident/problem/change/release management, and strong English communication. Experience in regulated environments and payment domain exposure are desirable.

Responsable de diseñar, implementar y mantener pipelines CI/CD; desplegar y gestionar microservicios en Kubernetes; administrar soluciones Cloud PaaS; automatizar procesos mediante scripting (Shell, Groovy u otros); y monitorear y resolver incidencias operativas en entornos CI/CD. Requisitos clave: 4–5 años de experiencia general, 1–2 años en creación/mantenimiento de pipelines y uso de GitHub Copilot, 2–3 años desplegando en Kubernetes.