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The DevOps team augments the symplr Development, IT and Development teams by focusing on automation, CI/CD and operating production systems using a software engineering approach.
DevOps goals include improving system performance, increasing operational observability, enhancing system stability, and reducing time for software delivery.
Duties & Responsibilities
- Be a champion for department initiatives and values by ensuring all actions promote the department’s mission statement
- Participate in release cycles of product by closely working with Engineering Managers, Architects and Developers.
- Work towards automating the product deployment to various environments by integrating with continuous integration (CI) and continuous delivery (CD) tools, monitoring, and change management practices.
- Create and maintain standard operating procedures (SOPs) for performing maintenance tasks, applying configuration changes, and remediating problems in the environment.
- Implement monitoring, alerting, notification and metrics collection for
- Infrastructure and application performance
- System uptime
- Error rate
- Monitor and continually improve the capacity and reliability of our production environments infrastructure.
- Investigate and fix performance and scalability bottlenecks, proactively identify issues and create work items to improve stability and performance.
- Respond to alerts from production systems, identify and resolve root causes in a timely fashion
- Identify single points of failure and other high-risk architecture issues and propose resilient resolutions to mitigate the risk thereby improving the system reliability.
- See opportunities of automation and reduce the operational workload, build scripts, introduce new tools and practices as needed
- Work with other Cloud Infrastructure Engineer and developers to ensure maximum performance, reliability and automation of our deployments and infrastructure.
- Work with, consult and influence developers on new features and software architecture to ensure scalability.
- 4-6 years of experience with any public cloud provider such as Amazon Web Services (AWS) , (Optional Microsoft Azure, or Google Compute Engine (GCE)) and On-Prem Servers
- Solid understanding of standard TCP/IP networking, Load Balancing and common protocols like DNS, HTTPS
- Monitoring and Logging: Experience with any Application monitoring and logging tools (e.g. Datadog, New Relic, AppDynamics, Application Insight, ELK, Prometheus).
- Deep understanding of Web Servers & Database
- Solid understanding in Docker and Kubernetes.
- Solid scripting knowledge & Software life cycles model.
- Deep understanding of DevOps practices.
- Should have worked on high traffic & highly scalable systems in past
- Deep understanding towards release automation (packaging, dependencies, promotion, deployment, compliance)
- A passion for collecting, evaluating, and improving performance metrics.
- Excellent time management, resource organization and priority establishment skills, and ability to multi-task in a fast-paced environment
- Ability to work quickly and efficiently with minimal supervision
- Excellent communication skills with both written and verbal
Every organization has a culture, whether they mean to or not, so why not be intentional about it?
Together, if we shape our intentions, actions, and interactions around a common, purposeful culture, we can quickly achieve more, attract others who help realize our goals, and thrive in our professional relationships.
- 4+years of Systems Engineering experience in the following areas
- Cloud platforms (AWS, Azure) and On-Prem Servers
- Windows and Linux Servers
- Application Monitoring Tools (Datadog, New Relic, AppDynamics, Application Insights)
- Log Aggregation Tools (Datadog, ELK, etc)
- PowerShell, Bash, or Python scripting
- CI/CD tools (Azure Pipelines, Jenkins, Octopus, etc.)
- Infrastructure management tools (Terraform, Ansible, etc.)
- Application Hosting (IIS, Apache, Tomcat)
- [Optional] Kubernetes
- Bachelor’s degree or equivalent experience
Key Skills
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