Infrastructure Engineer

Job Summary

The Cloud/Infrastructure Engineer will help design implement and maintain our organisations 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 Prometheus Datadog New Relic VictoriaMetrics and similar to capture relevant metrics logs and traces.

Alerting and Incident Management: Configure and maintain alerts based on defined thresholds and anomalies ensuring timely notification of potential issues and supporting rapid incident response.

Data Analysis and Troubleshooting: Analyze collected data to identify performance bottlenecks root causes and trends within complex systems collaborating with engineering teams to resolve problems.

Automation and Optimization: Develop and implement automation for monitoring and alerting to improve response times and reduce manual effort. Create automations for repetitive tasks (e.g. RMJ automation for new employees).

Cross-functional Collaboration: Collaborate with development operations and other teams to apply cloud and infrastructure best practices across the software development lifecycle ensuring proper instrumentation and data collection.

Capacity Planning: Use observability data to identify potential capacity constraints and support infrastructure scaling decisions.

Security and Compliance: Support security and compliance efforts including access reviews in line with organizational requirements.

Problem Solving: Resolve challenges related to system stability data connectivity and application configurations.

Dashboard Development: Build and maintain comprehensive user-friendly dashboards that provide real-time insights into system health key performance indicators and operational metrics.

Qualifications

• Bachelors degree in Computer Science a related field or equivalent experience.
• 35 years of systems administration/engineering experience.
• Solid understanding of Windows Server and Linux systems.
• Hands-on experience with layer 2/3 networking including VLANs routing and ACLs; experience with multi-vendor switches and firewalls (e.g. HP Dell Palo Alto Cisco ASA Sophos) a plus.
• Good understanding of monitoring principles and best practices.
• Experience with cloud platforms (e.g. AWS Azure GCP) and containerization technologies (e.g. Docker Kubernetes).
• Scripting and automation skills (e.g. Python Bash PowerShell).
• Experience configuring IPSec VPN tunnels with familiarity with BGP routing and subnet peering across hybrid cloud environments.
• Ability to interpret data sets identify patterns and draw actionable insights.
• Strong communication and collaboration skills with the ability to present findings to cross-functional teams.
• Ability to manage multiple priorities and work in a fast-paced environment.
• Experience with observability tools such as Prometheus Grafana Elasticsearch Kibana Jaeger Datadog New Relic VictoriaMetrics Zipkin or similar.

Preferred Qualifications

• Experience contributing to security reviews and documentation with cross-functional/product teams.
• Experience with SSO and/or MFA implementations.
• Deeper public cloud platform experience or certifications (AWS Azure GCP).
• Experience with networking infrastructure across multi-vendor environments.
• Experience with at least one scripting language for automation or proof-of-concept work.