Senior DevOps Engineer

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Responsibilities:

● Work closely with domain experts to ensure business requirements align with the architecture and processes of GCP, AWS, and Azure cloud environments.

● Drive DevOps initiatives, collaborating with cross-functional teams to deliver robust, high-quality solutions within project timelines.

● Contribute to the design and implementation of scalable, reliable, and automated development tools and cloud infrastructure on GCP, AWS, and Azure.

● Create and improve processes to enhance enhance efficiency, minimize errors, and support the automation of development and deployment workflows.

● Implement and uphold security best practices to ensure systems are safeguarded against potential threats, with a focus on GCP, AWS, and Azure.

● Support and troubleshoot systems to maintain optimal performance, availability, and reliability across the DevOps ecosystem.

● Assist in designing workflows and processes for system maintenance, scaling and infrastructure optimization.

● Collaborate with developers and engineers to align software delivery pipelines with project and organizational goals.

● Contribute to the mentoring and guidance of junior team members, fostering collaboration and knowledge-sharing within the team.

Requirements:

● 3–5 years of experience in DevOps, with strong expertise in GCP, AWS, and Azure platforms.

● Hands-on experience with services and DevOps practices in Azure, including Azure DevOps, Azure Resource Manager (ARM) templates, and Azure Kubernetes Service (AKS).

● Proficient in version control tools like Git and CI/CD tools such as Azure DevOps Pipelines, GCP Cloud Build, Bitbucket Pipelines, and AWS Code Pipeline.

● Strong knowledge of containerization technologies, including Docker, Kubernetes, Azure AKS, GCP GKE, and AWS EKS.

● Experience with infrastructure-as-code tools like Terraform, Deployment Manager, CloudFormation, and Azure Bicep.

● Familiarity with monitoring tools, including Azure Monitor, Application Insights, GCP Operations Suite (formerly Stackdriver), Grafana, Prometheus, and AWS CloudWatch.

● Advanced knowledge of Unix/Linux systems and cloud security principles across Azure, GCP, and AWS.

● Solid understanding of network and data security best practices in cloud environments, including Azure Security Center and Azure Sentinel.

● Demonstrated ability to manage and optimize DevOps workflows and pipelines effectively.

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