AWS DevOps Engineer

ASCENDING

96d

About The Position

Our client, one of the largest Amazon Web Services (AWS) partners for data services, is looking for a Mid to Senior level Java Developer to contribute to join their team of technologists to build and contribute to large-scale, innovative projects. Technological and career growth opportunities are a natural and every day part of the working environment.

Requirements

At least 3 years of hands-on experience in the areas/tools listed below
Strong background in Linux/Unix Administration Experience with automation/configuration management.
Grafana (creating dashboards from multiple data sources. creating dashboards, presenting metrics in custom charts)
Splunk
Strong experience in scripting such as Python and TypeScript.
Hands-on AWS platform experience, AWS Certification will be a big plus.
Ability to use a variety of open-source technologies and cloud services (experience with AWS is required). Some services like AWS Config, CloudTrail, SCPs, KMS, VPC, CDK.
Working knowledge of continuous integration platforms such as Jenkins,and various other deployment tools
Working knowledge of source code repositories such as Git (BitBucket), Subversion, etc.

Responsibilities

Assist customer with developing Kibana dashboard to highlight changes to account configs and highlight security anomalies.
Ensures DevOps practices and tool-sets are followed to support our drive towards continuous delivery across our multi-platform application portfolio.
Assist customer to build reference architectures to enable customer teams adopt out-of-region DR.
Develop tools and products that are used in central automation and contribute to development milestones.
Continually look for ways to innovate and improve testing process to gain efficiencies.
Effectively communicate DevOps activities and project risk in oral and written formats.
Build solutions and be able to think holistically about engineering challenges and architecture.
Excellent understanding in computer science fundamentals - Algorithm design, Problem solving, Complexity analysis and data structures.
Expert experience in design and implementation in terms of Infrastructure Creation/Configuration and CI/CD.
Evangelize DevOps tools and processes.
Demonstrable experience in architecting, designing and developing.
DevOps toolsets Good troubleshooting and debugging mindset.
Awareness and exposure in deploying Deep Learning models and Big data applications.