Redwood Software
InfrastructureEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Infrastructure Engineer at Redwood Software. Skills: Cloud infrastructure, Observability, Automation, System monitoring. Design cloud infrastructure. Implement cloud infrastructure”
Industry & Context.
Troubleshoot complex issues; Root cause analysis; Problem solving; Data analysis
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 3–5 years systems administration/engineering experience, Solid understanding of Windows Server, Solid understanding of Linux systems, Experience with cloud platforms, Experience with containerization technologies, Scripting and automation skills, Ability to interpret data sets, Ability to manage multiple priorities, Ability to work in fast-paced environment
Nice to Have
Hands-on experience with layer 2/3 networking, Experience with multi-vendor switches and firewalls, Experience configuring IPSec VPN tunnels, Familiarity with BGP routing, Familiarity with subnet peering, Experience contributing to security reviews, Experience with SSO implementations, Experience with MFA implementations, Deeper public cloud platform experience, Public cloud platform certifications, Experience with networking infrastructure, Experience with at least one scripting language
What You'll Do.
Design cloud infrastructure
Implement cloud infrastructure
Maintain cloud infrastructure
Design on-premise infrastructure
Implement on-premise infrastructure
Maintain on-premise infrastructure
Contribute to infrastructure strategy
Build data collection pipelines
Maintain data collection pipelines
Build data processing systems
Maintain data processing systems
Build visualization dashboards
Maintain visualization dashboards
Monitor system performance
Identify performance bottlenecks
Optimize system efficiency
Optimize system reliability
Identify potential issues
Implement preventative measures
Troubleshoot system issues
Perform root cause analysis
Configure observability tooling
Manage observability tooling
Maintain observability tooling
Evaluate observability tools
Select observability tools
Analyze collected data
Identify performance trends
Implement automation for monitoring
Implement automation for alerting
Automate repetitive tasks
Collaborate with development teams
Collaborate with operations teams
Apply cloud best practices
Apply infrastructure best practices
Ensure proper instrumentation
Ensure proper data collection
Identify capacity constraints
Support infrastructure scaling
Support security efforts
Support compliance efforts
Resolve system stability challenges
Resolve data connectivity challenges
Resolve application configuration challenges
Build user-friendly dashboards
Maintain user-friendly dashboards
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Partner with other teams; Collaborate with engineering teams; Collaborate with development teams; Collaborate with operations teams
Communication Scope
Present findings
Full Job Description
Job Summary The Cloud/Infrastructure Engineer will help design, implement, and maintain our organisation's cloud and on-premise infrastructure. This role owns day-to-day infrastructure work independently while contributing to broader strategy alongside senior engineers. The ideal candidate has a solid understanding of system stability, monitoring, and performance optimization, and can troubleshoot complex issues and drive practical solutions with limited oversight. Your Impact At Redwood, we strive to automate and optimize our operations and application integrations to support the scale of our business and customer needs. As an observability engineer, you will build and maintain systems that collect, analyze, and visualize data from software applications and infrastructure. You will provide insight into system health and performance, enable proactive problem identification, and contribute to the ongoing evolution of our observability solutions in partnership with other teams. Responsibilities Implement Infrastructure Strategy: Contribute to the design and implement infrastructure initiatives, including data collection pipelines, data processing, and visualization dashboards, with scalability and performance in mind. This includes metrics, logging, tracing, and alerting to provide end-to-end visibility into system behavior. System Monitoring and Performance Optimization: Monitor system performance, identify bottlenecks, and implement solutions to optimize efficiency and reliability, including proactive identification of potential issues and preventative measures. Incident Response and Troubleshooting: Respond to incidents, troubleshoot complex system issues, and perform root cause analysis to help prevent future occurrences. Tooling and Infrastructure: Configure, manage, and maintain observability tooling and infrastructure (log aggregation, metric collection, distributed tracing, alerting), and contribute to tool evaluation and selection. Work with tools such as Pro
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