We are expanding our team of motivated engineers with a proven track record of delivering a best in class DBaSS platform – ObjectRocket. You will have the opportunity to work with a strong team of engineers working on large-scale distributed enterprise systems. You will design, implement and support complex architectural design of hardware, software and networking systems.
Lead global SRE team to provide the highest-level reliability to our customers and platform. You will drive improvement through automation and best practices. his includes responding to, mitigating, investigating, and escalating incidents when they occur. You will be responsible for stepping above the day-to-day support, for synthesizing patterns of problems and business needs to the engineering teams. You will be responsible for ensuring that your services operations over time are improving to enhance our business effectiveness.
Key Responsibilities: - Ensure completeness of the technical infrastructure to support system performance
- Stay up to date with emerging technologies and trends in the enterprise hardware, infrastructure and networking industry
- Partner with the application engineering team to ensure the stability and performance of our technology solutions
- Continuous identification of problems in the technology stack and processes and their corresponding burndown
- Follow and execute Rackspace change management processes
- Participate in systems/code reviews and design sessions
- Contribute to and organize central store of knowledge
- Take full ownership of product life cycle
- Participate in on-call rotation
Qualifications: - Bachelor’s degree in Computer Science or equivalent experience
- 8+ years of information systems design/architecture/development
- Strong experience in one or more of: Perl, Python, or Bash
- Strong experience in one or more of: Ansible, Chef, or Salt
- Strong experience working with Unix/Linux systems from kernel to shell and beyond, with experience working with system libraries, file systems, and client-server protocols. Networking: e.g. TCP/IP, UDP, ICMP, etc., MAC addresses, IP packets, DNS, SDN, OSI layers, and load balancing.
- Experience in designing, analyzing and troubleshooting large-scale distributed systems.
- Intermediate knowledge of operating systems.
- Familiarity with algorithms, data structures and complexity analysis.
- Intermediate experience designing complex SaaS applications for cloud reliability and scalability.
- Intermediate experience with cloud infrastructure automation and CI/CD pipeline design.
- Expertise in operational monitoring and management tools (Sensu, Prometheus, Grafana, etc.).
- Intermediate written & verbal communication skills, both highly technical and non-technical.
- Ability to work closely with non-technical stakeholders and executives.
- Systematic problem-solving approach coupled with a strong sense of ownership and drive.
- RHCE Preferred.
- Preferred:
- Experience working with Object Storage systems at Petabyte scale.
- Experience using and managing one or more relational databases (e.g. MySQL).
- Experience with non-relational databases (preferably Redis, Mongo)
- Experience with cloud service providers (AWS, GCP, Azure, etc.)
- Experience with Docker and container management systems (Swarm, Kubernetes, OpenShift, etc.)
$143,700 - $245,520 a year
The following information is required by pay transparency legislation in the following states: CA, CO, HI, NY and WA. This information applies only to individuals working in these states.
The anticipated starting pay range for Colorado is: $143,700 - $210,760.
The anticipated starting pay range for Hawaii and New York (not including NYC) is: $153,000 - $224,400.
The anticipated starting pay range for California, New York City and Washington is: $167,400 - $245,520.
Based on eligibility, compensation for the role may include variable compensation in the form of bonus, commissions, or other discretionary payments.
These discretionary payments are based on company and/or individual performance, and may change at any time.
Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location.
Information on benefits offered is here.
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