Senior DevOps Engineer
- Salary:AU$200000 - AU$210000 per annum + + Bonus + Equity Share
Collaborate with other DevOps Engineers and engineering teams to evaluate and identify optimal cloud architectures for custom solutions. You will design, build, and deploy AWS applications at the direction of other architects including large scale data processing, computationally intensive statistical modelling, and advanced analytics.
Design for scale, including systems that auto-scale and auto-heal. Via automation, you will relentlessly strive to eliminate manual toil.
Maintain cloud stacks utilised in running our custom solutions, troubleshoot infrastructure related issues causing solution outage or degradation, and implementing necessary fixes. You will implement monitoring tools and dashboards to evaluate health, usage and availability of custom solutions running in cloud.
Consistently improve the current state by regularly reviewing existing cloud solutions and making recommendations for improvements (such as resiliency, reliability, autoscaling, and cost control), and incorporating modern infrastructure as code deployment practices using tools such as CloudFormation, Serverless, Terraform, Ansible, etc.
Identify, analyze, and resolve infrastructure vulnerabilities and application deployment issues. You will collaborate with our Security Operations team to implement company preferred security and compliance policies across the cloud infrastructure running our custom solutions.
Educate Senior Engineers on the implementation and usage of new cloud technologies and initiatives.
Build strong cross functional partnerships - This role will interact with clients, business, engineering teams, representing many different types of personalities and opinions.
Assist to build, test, and maintain CI/CD pipelines, infrastructure, and other tools to allow for the speedy deployment and release of solutions in the cloud
WHAT YOU BRING TO THE TABLE:
Min 5 years of work experience as a DevOps Engineer in building AWS cloud solutions
Strong experience in deploying infrastructure as code using tools like CloudFormation, Terraform, etc.
Strong experience with scripting languages and writing scripts
Sustained track record of making significant, self-directed, and end-to-end contributions to building, monitoring, securing, and maintaining cloud-hosted or cloud-native solutions, especially large scale data processing and analytics solutions using AWS services particularly EMR, Lambda, CloudWatch
Exposure to deploying cloud native applications written in 1 or 2 programming languages such as Python, Java, Nodejs or C#, etc. to AWS
Demonstrable creative thinking and problem-solving abilities, a passion for problem solving and learning new technologies quickly
Knowledge of web services, API, and REST
Preferred skills (not essential):
Professional AWS Certification including specialisations (such as Data Analytics, Machine Learning, etc.) is a plus
Knowledge of building CI/CD pipelines in tools like Bamboo, AWS (CodeCommit, Code Build, and Code Deploy) is also advantageous
Knowledge of multiple cloud platforms (AWS, GCP, Azure)
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