Cloud Infrastructure & DevOps Engineer at Alldus International Consulting Ltd
Job in
Anaheim, Orange County, California, 92801, USA
Listed on 2026-10-31
Listing for:
Salón Večná kráska
Full Time
position Listed on 2026-10-31
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer, SRE/Site Reliability
Job Description & How to Apply Below
Cloud Infrastructure & Dev Ops Engineer
Remote
6 months
Alldus International is looking to speak with aCloud Infrastructure & Dev Ops Engineer with experience working with the Electric clients. Experience with Water, Wastewater and Gas isa plus.
Responsibilities- As a Cloud Infrastructure & Dev Ops Engineer, you will be responsible for the architecture, automation, and operational excellence of our cloud infrastructure.
- Working closely with Engineering, Product, and Customer Delivery teams, you will ensure our systems are robust, cost-efficient, and scalable.
- Design and implement CI/CD pipelines, managing cloud resources, optimizing performance, and enforcing security best practices.
- 5+ years of experience in cloud infrastructure and Dev Ops roles, with a focus on AWS, GCP, or Azure.
- Proven experience in designing and managing CI/CD pipelines using tools like Jenkins, Git Hub Actions, Git Lab CI/CD, or CircleCI.
- Deep understanding of containerization and orchestration technologies such as Kubernetes, Docker and Red Hat Openshift.
- Experience with cloud security, identity and access management (IAM), and compliance best practices.
- Proficiency in scripting languages such as Python, Bash, or Go for automation tasks.
- Hands-on experience with monitoring and logging solutions like Splunk, Prometheus, Grafana, ELK Stack, or Datadog.
- Strong understanding of networking, load balancing, and traffic routing in cloud environments.
- Ability to balance trade-offs between cost, scalability, and performance in cloud-based architectures.
- Experience in working with IBM Maximo Application Suite (MAS) and integrating with cloud environments.
- Knowledge of AI/ML workloads and experience deploying AI-powered solutions in cloud infrastructure.
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