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Description:
The Lead DevOps Engineer position requires 9+ years of work experience as a DevOps Engineer.
The role involves creating software deployment strategies essential for successful deployment.
The DevOps Lead Engineer is accountable for designing, building, and optimizing automation systems that support business web and data infrastructure platforms.
Candidates should have hands-on experience maintaining and using build systems such as Jenkins and Artifactory.
A minimum of 2 years of experience working with Python, including maintaining and creating scripts, is required.
Hands-on experience with Docker and Ansible is necessary.
Strong experience in cloud services, particularly AWS, is essential.
Candidates should have experience in setting up infrastructure from scratch.
The role requires hands-on experience with scalability, deployment optimization, high-availability, and fail-over strategies.
Experience with Unix systems, including bash scripting, is required.
The Lead DevOps Engineer will be involved in planning for high availability, disaster recovery, and compliance.
Responsibilities include infrastructure maintenance, ensuring availability, performance, and cost reduction.
The role involves automating tasks and monitoring systems to continuously improve infrastructure.
Candidates will develop scripts and tools to enhance infrastructure resilience and efficiency.
A strong understanding of applications and services to ensure smooth operation is necessary.
Strong experience in Kubernetes and Helm is required.
Requirements:
Candidates must have 9+ years of experience as a DevOps Engineer.
A proven track record in creating effective software deployment strategies is essential.
Experience in designing, building, and optimizing automation systems is required.
Hands-on experience with build systems like Jenkins and Artifactory is necessary.
A minimum of 2 years of experience with Python scripting is required.
Candidates must have hands-on experience with Docker and Ansible.
Strong experience in AWS cloud services is essential.
Experience in setting up infrastructure from scratch is required.
Candidates should have hands-on experience with scalability, deployment optimization, and high-availability strategies.
Proficiency in Unix systems and bash scripting is necessary.
Involvement in planning for high availability, disaster recovery, and compliance is required.
Candidates must be able to maintain infrastructure availability, performance, and cost efficiency.
Experience in automating tasks and monitoring systems is essential.
Candidates should be able to develop scripts and tools for infrastructure resilience and efficiency.
A strong understanding of Kubernetes and Helm is required.
Benefits:
Interface.ai is committed to providing an inclusive and welcoming environment for all employees and applicants.
The company celebrates diversity and believes it is critical to its success.
Employment decisions are based on business needs, job requirements, and individual qualifications.
Interface.ai strives to create a culture that values and respects each person's unique perspective and contributions.
The company encourages all qualified individuals to apply for employment opportunities.
Interface.ai is committed to ensuring that the hiring process is inclusive and accessible.