Sr. DevOps Engineer

Job Summary:

Top Qualifications:

1. CI/CD Pipeline creations using Kubernetes, Helm Charts, Ansible and Groovy

2. Middleware admin skills with Kafka and Tibco knowledge

3. Automation engineering skills using Python / Bash

Job Summary:

We are seeking a highly skilled DevOps Engineer with 8 to 12 years of experience to join our team:

" Hands on experience on CI/CD pipeline creations for VM based & Kubernetes Services.

" Automation Skills using Bash/Python/Groovy etc.,

" Exposure to Git, Jfrog, Ansible, helm charts are mandatory

" Apache Proxy, tomcat, Jboss, WebLogic, MQ , TIBCO and Kafka knowledge is required

" Security Concepts like enabling SSO/MFA , integrating the applications with LDAP etc.,

" Very good communication skills and Programming knowledge.

" Experience on creating Dashboards

Required Skills: Cloud Run, Cloud Build, Google Kubernetes Engine (GKE), Artifact registry, Cloud Deploy, Container Analysis, Operation suite

Responsibilities:

- Analyze and interpret geospatial data to support various projects and initiatives.

- Develop and implement cloud-based solutions using Google Kubernetes Engine (GKE) to enhance data processing capabilities.

- Utilize Cloud Run to deploy and manage containerized applications efficiently.

- Employ Cloud Build for continuous integration and delivery of geospatial applications.

- Manage and maintain Artifact Registry to ensure secure and efficient storage of container images.

- Oversee the deployment process using Cloud Deploy to ensure smooth and reliable application releases.

- Conduct container analysis to identify and mitigate potential security vulnerabilities.

- Utilize Operation Suite to monitor and optimize the performance of deployed applications.

- Collaborate with cross-functional teams to integrate geospatial data into broader organizational strategies.

- Provide technical expertise and guidance on best practices for cloud-based geospatial analysis.

- Ensure data accuracy and integrity through rigorous validation and quality control processes.

- Develop and maintain documentation for all processes and procedures related to geospatial analysis and cloud deployment.

- Stay updated with the latest advancements in geospatial technologies and cloud computing to continuously improve our solutions.

Qualifications:

- Possess a strong background in geospatial analysis with a minimum of 8 years of experience.

- Demonstrate extensive experience with Google Kubernetes Engine (GKE) and related cloud technologies.

- Have hands-on experience with Cloud Run, Cloud Build, Artifact Registry, Cloud Deploy, Container Analysis, and Operation Suite.

- Exhibit excellent analytical and problem-solving skills to interpret complex geospatial data.

- Show proficiency in developing and deploying cloud-based solutions for data processing and analysis.

- Display strong collaboration skills to work effectively with cross-functional teams.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.