Senior DevOps Engineer

SmartChoice International GCC; Riyadh; On-site; SAR 320,000 - 520,000; Full time

Job summary

SmartChoice International GCC is seeking a Senior DevOps Engineer to design, build and operate scalable cloud infrastructure for a rapidly scaling platform. You will own CI/CD pipelines, container platforms, security, observability and production reliability across teams.

Experience with AWS, Terraform/OpenTofu, Ansible, GitHub Actions, Docker, Kubernetes, Helm, ArgoCD/Flux and Vault is essential. Strong Linux, Bash and Python skills and a focus on reliability are required.

Qualifications

• 8+ years in DevOps, SRE, or platform engineering.
• Hands-on AWS across compute, networking and IAM.
• IaC with Terraform/OpenTofu; modular design.
• CI/CD with GitHub Actions; containerization stack.
• Kubernetes, Docker, Helm; EKS desirable.
• GitOps with ArgoCD or Flux; secure pipelines.

Responsibilities

• Design and maintain scalable infra with infrastructure as code.
• Own CI/CD pipelines for builds, tests, and deployments.
• Manage container workloads on Kubernetes and cloud compute.
• Implement safe rollout, rollback and recovery strategies.
• Operate cloud networking, gateways, DNS and TLS.
• Enforce identity, secrets management and least privilege.
• Run production DBs with HA, backups and recovery.
• Establish observability and operational metrics.
• Lead incident response and reliability improvements.
• Optimize cost and performance of high compute infra.
• Build reusable platform capabilities for engineering teams.

Skills

AWS

Terraform/OpenTofu

Ansible

GitHub Actions

Docker

Kubernetes

Helm

ArgoCD/Flux

APIs & Gateways

PostgreSQL/RDS/Aurora/Redis

Vault/Secrets Manager

Prometheus/Grafana/OpenTelemetry

Linux/Bash/Python

Security & Reliability

Job description

We are partnering with a growing technology organisation to appoint a Senior DevOps Engineer to build and operate the infrastructure behind a rapidly scaling technology platform.

This is a hands-on role spanning cloud infrastructure, automation, CI/CD, container platforms, security, observability and production reliability. You will work closely with engineering teams to create scalable, secure and resilient environments, while establishing the operational standards the wider technology function can build on.

Key Responsibilities

• Design and maintain scalable, reproducible infrastructure using infrastructure as code.
• Own CI/CD pipelines covering build, testing, security and production deployment.
• Manage containerised workloads across Kubernetes and cloud-based compute environments.
• Build safe deployment strategies with appropriate rollout, rollback and recovery mechanisms.
• Manage cloud networking, API gateways, load balancing, DNS, certificates and service connectivity.
• Implement identity, secrets management and least-privilege access across environments.
• Operate production databases, including high availability, replication, backup and recovery.
• Establish monitoring, alerting and operational metrics across infrastructure and applications.
• Lead incident response and continuously improve reliability, security and operational resilience.
• Optimise infrastructure utilisation and costs, including high-compute workloads.
• Help create reusable platform capabilities that enable engineering teams to deploy and operate services independently.

What We're Looking For

• 8+ years of experience in DevOps, SRE, infrastructure or platform engineering.
• Strong hands-on experience with AWS, including compute, networking, IAM and storage.
• Strong infrastructure-as-code experience with Terraform or OpenTofu, including reusable modules and state management.
• Experience with Ansible or comparable configuration management.
• Strong CI/CD experience, particularly GitHub Actions or equivalent.
• Strong experience with Docker, Kubernetes and Helm, with EKS highly desirable.
• Experience with GitOps, including ArgoCD or Flux.
• Experience with API gateways, authentication, routing and rate limiting.
• Production experience with PostgreSQL, RDS/Aurora and Redis or equivalent technologies.
• Experience with Vault, AWS Secrets Manager or Parameter Store.
• Strong observability experience with Prometheus, Grafana, CloudWatch and OpenTelemetry or equivalents.
• Comfortable working in Linux environments with Bash and Python.
• Strong understanding of security, reliability, incident management and production operations.

Advanced Infrastructure

Experience operating AI, machine learning or other high-compute workloads in production is highly desirable.

Relevant experience may include:

• GPU infrastructure and workload scheduling.
• Model-serving or inference platforms.
• Autoscaling and capacity management for compute-intensive workloads.
• Managing performance, utilisation and cost of high-compute environments.
• Technologies such as vLLM, Triton, TGI, KServe, Ray Serve, Amazon Bedrock or SageMaker.

Technical Environment

AWS | Terraform/OpenTofu | Ansible | GitHub Actions | Docker | Kubernetes/EKS | Helm | ArgoCD/Flux | API Gateways | PostgreSQL | RDS/Aurora | Redis | Vault/Secrets Manager | Prometheus | Grafana | CloudWatch | OpenTelemetry | Linux | Bash | Python

We're looking for an engineer with strong technical depth and operational judgement who can work calmly through complex production problems, understand the impact of infrastructure changes, and build systems with reliability, security and cost in mind.