Cloud Operations Engineer II

As a Cloud Operations Engineer, you will be working alongside a multidisciplinary team of cloud engineers; as well as Development, Design, Architecture, and Quality Assurance teams to implement and support new features and enhancements to the Incentive Compensation Management products. You will be contributing and guiding the technical work on the services supporting Incentive Compensation Management pipeline. The team will also be entrusting you with helping to scale the team by mentoring cloud operation engineers and monitoring the quality of the service. Join a high-performing team in a growth stage tech company that is working to continuously reflect and improve on how we make software. The Cloud Operations Team values high levels of technical competency and the ability to react quickly and come up with solutions to the challenges of a rapidly growing team. 

What You'll Do: 

•    Continually monitor and tune application infrastructure to assure optimal performance, availability, and utilization of resources.
•    Lead infrastructure service requests towards customer focused resolution and improvements.
•    Work with application teams to automate application configuration, setup and deployment.
•    Provide technical solutions to automate processes or functions to improve business operations.
•    Engineer, deploy and support releases, enhancements, and upgrades or new services throughout nonproduction and production environments.

What You'll Bring: 

•    Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience with 4+ years of professional experience in a CloudOps / DevOps role.
•    Experience with developing on cloud platforms such as Amazon Web Services, Google Cloud Platform, Azure, and IBM.
•    Experience in automation and software development, with proficiency in one of more programming languages (Scripting language, Python, etc.).
•    Previous experience with client-facing product or service that is in production.
•    A track record of being able to learn innovative technologies and frameworks.
•    Hands on experience with CI/CD pipeline development and management.
•    Good knowledge of infrastructure and application performance monitoring solutions.
•    Working knowledge of SSH, TLS
•    Well versed in core networking concepts, IP space, DNS, VPN
•    Experience working with enterprise databases. 
•    Strong technical knowledge in Linux and Windows server (physical and containerized deployments and management)
•    Experience in Container application implementation and troubleshooting with Docker Engine, images, etc. and Docker Management Utilities (Kubernetes)
•    Strong knowledge in Service Monitoring & Log Management Tools 
•    Strong knowledge in Application Performance Monitoring (APM) (Health service dashboards, KPI’s and metrics).
•    Strong knowledge in various communication technologies and platforms

Success Outcomes:

In the Short Term (1-3 Months) You Will: 

•    Complete training on our tech stack and join a squad of cloud engineers to support, optimize and improve our production environments.
•    Learn our service observability and application performance monitoring stack.
•    Work with the Architecture, Development, and Quality Assurance teams and contribute to the technical planning of upcoming features in the next release.

In the Medium Term (4-6 Months) You Will: 

•    Continually monitor and tune application infrastructure to assure optimal performance, availability, and utilization of resources.
•    Work with application teams to automate application configuration changes, setup, and deployment.
•    Provide technical solutions to automate processes or functions to improve business operations.

In the Long Term (7 Months and Beyond) You Will: 

•    Be the subject matter expert for the new features you've built or enhancements you've implemented and propagate your knowledge throughout the team.
•    Lead technical discussions and design for new projects.
•    Proactively identify opportunities for process change in the team, and work with stakeholders to improve operations workflows.