DevOps Engineer
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Job Location:
Monthly Salary:
Posted on:
01-11-2025
Vacancies:
1 Vacancy
Job Summary
Were seeking an experienced Senior DevOps Engineer to join our engineering this role youll collaborate with software developers ML Engineers QA engineers and operations to design build and maintain scalable secure and highly available infrastructure and deployment pipelines in both AWS and Azure. Youll drive the adoption of Infrastructure as Code oversee our Bitbucket-based source workflows champion best practices in automation and observability and help bring our AI-integrated software solutions into production.
Required Qualifications
- 3 years in DevOps Site Reliability or Cloud Engineering roles with demonstrable ownership of production services.
- Proven track record working in AWS and Azure environments.
- Advanced proficiency CloudFormation or Azure Resource Manager (ARM/Bicep).Strong scripting skills (Python Bash PowerShell).
- Hands-on experience with Bitbucket Bitbucket Pipelines or other Git-based workflows.
- Container and orchestration expertise (Docker Kubernetes/EKS/AKS).Familiarity with AI/ML deployment tools (MLflow Kubeflow SageMaker Azure ML).
- Solid experience in monitoring logging and alerting frameworks across multi-cloud.
- Deep understanding of cloud security IAM and secrets management.
Soft Skills
- Excellent problem-solving aptitude and strong communication skills.
- Ability to work cross-functionally in agile teams and mentor peers.
Preferred Qualifications
- Certifications such as AWS Certified DevOps Engineer Microsoft Certified: Azure DevOps Engineer or Certified Kubernetes Administrator (CKA).
- Background deploying real-time AI/ML inference services at scale.
- Knowledge of service meshes (Istio Linkerd).
Responsibilities
- Define standards for networking storage compute and identity across clouds; optimize cost and performance.
- Build and maintain robust CI/CD pipelines in Bitbucket Pipelines (or integrating with Jenkins/GitHub Actions as needed) for microservices and AI model deployments.
- Automate entire lifecyclefrom code commit through container build model packaging testing and rollout.
- Integrate machine learning model training and inference into infrastructure pipelines ensuring reproducibility and version control for data code and models.
- Securely manage credentials and secrets with AWS Secrets Manager Azure Key Vault or Vault.
- Implement comprehensive logging and monitoring (Prometheus Grafana ELK/EFK Azure Monitor CloudWatch).
- Enforce security best practices across pipelines and infrastructure: IAM policies vulnerability scanning container security network segmentation.
- Partner closely with AI/ML engineers software developers and product owners to align infrastructure with business goals.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
About Company
Robotic Assistance Devices (RAD) is an innovator and provider of artificial intelligence-driven devices and robot solutions for operational, security, surveillance, and monitoring needs.
