- Design and implement sophisticated automation solutions for the management and monitoring of our cloud infrastructure and applications, with a focus on enhancing the reliability and performance of our SaaS platform.
- Proactively collaborate with other SREs and cross-functional teams to preemptively address potential issues, maintaining the highest standards of reliability for our platform.
- Monitor the health and performance of our cloud infrastructure and applications, implementing advanced strategies for troubleshooting and optimization.
- Participate in the on-call rotation, offering expert response and resolution to incidents and issues.
- Champion best practices in reliability engineering, including disaster recovery, chaos engineering, and incident response, to foster a culture of continuous improvement.
- Lead by example in conducting thorough post-mortem analyses, ensuring lessons learned are integrated into future operations.
- Excellent communication skills, capable of working independently and collaboratively within a dynamic team environment.
- Problem-solving skills
- Cloud: AWS
- Scripting: Python
- Automation/Configuration Management: Ansible, Puppet, Chef
- Monitoring/Observability: Splunk, New Relic, Datadog, AWS CloudWatch, AWS X-Ray
- Disaster recovery and incident management
- General Dev Experience: Application development (any stack)
- CI/CD: (Implied but not specified — any experience with Jenkins, GitLab CI, etc. is a plus)
- Chaos Engineering Tools: (e.g., Gremlin, Chaos Monkey — not explicitly mentioned but implied)
- 5 years of experience as an SRE, specifically within a SaaS platform environment, demonstrating a clear understanding of the unique challenges and opportunities in SaaS.
- 3 years of experience specifically in managing and optimizing SaaS platforms.
- 3 years of expert knowledge and hands-on experience with AWS.
- 4 years of experience using automation tools like Ansible, Puppet, or Chef.
- 4 years of experience with scripting in Python or similar languages.
- 3 years of experience using tools like Splunk, New Relic, Datadog, AWS CloudWatch, or AWS X-Ray.
- 3 years of experience leading disaster recovery efforts in current and previous roles.
- 3 years of experience implementing chaos engineering practices in live environments.
- 4 years of active involvement in on-call rotations and incident management.
- 4+ years of end-to-end application development experience, showcasing familiarity with the complete software development lifecycle and a strong ability to design, implement, and deploy functional, scalable applications.
- 3 years of experience leading post-mortem analysis sessions following major incidents.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience in building and operating large-scale cloud/SaaS platforms.
Skills Required
- Problem-solving skills
- Hands-on AWS experience
- Python or similar scripting experience
- Experience with Ansible, Puppet, or Chef
- Experience with Splunk, New Relic, Datadog, AWS CloudWatch, or AWS X-Ray
- Disaster recovery and incident management experience
- 5 years of SRE experience in a SaaS platform environment
- 3 years of experience managing and optimizing SaaS platforms
- 3 years of expert AWS experience
- 4 years of automation tool experience
- 4 years of Python or similar scripting experience
- 3 years of monitoring and observability tool experience
- 3 years leading disaster recovery efforts
- 3 years implementing chaos engineering practices
- 4 years of on-call rotation and incident management experience
- 4 or more years of end-to-end application development experience
- 3 years leading post-mortem analysis sessions
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience
- Application development experience
- CI/CD experience with tools such as Jenkins or GitLab CI
- Experience with chaos engineering tools such as Gremlin or Chaos Monkey
MontyCloud Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MontyCloud and has not been reviewed or approved by MontyCloud.
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Fair & Transparent Compensation — Feedback suggests compensation and benefits are viewed favorably overall, indicating competitive pay positioning for many roles.
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Healthcare Strength — Job postings indicate medical, dental, and vision coverage as part of a comprehensive package in the U.S.
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Equity Value & Accessibility — Listings highlight equity participation as a standard component, signaling accessible ownership opportunities for employees.
MontyCloud Insights
What We Do
MontyCloud is a Seattle, WA based intelligent Cloud Management Platform Company. Our customers use MontyCloud DAY2™ to instantly close the cloud skills gap, simplify CloudOps, and reduce the total cost of cloud operations up to 70%, all in just a few clicks. By leveraging the AWS public cloud, AI, and ML, DAY2 ™ simplifies provisioning, security, compliance, cost optimization, and routine operations. DAY2™’s automation first, No-Code approach helps customers immediately derive deep insights and deliver intelligent Cloud Operations in just a few minutes. You can try the platform for free at https://MontyCloud.com
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