High-Load Data Systems Engineer
1 week ago
Behavox is a cutting-edge company that specializes in developing scalable and fault-tolerant storage and processing systems. Our platform enables us to manage and analyze massive volumes of data, providing our clients with powerful tools for searching, filtering, and visualizing relationships between entities.
Role OverviewThis position offers a unique opportunity to work on high-load and business-critical services that have a significant impact on the company. As a Site Reliability Engineer, you will be responsible for ensuring the availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of all production systems and services.
Key Responsibilities- Perform deployment and maintenance of high-load and large-scale distributed storage and data processing systems in Public clouds (GCP/AWS).
- Monitor, develop, and troubleshoot applications to resolve issues, lead incident support, and be part of the on-call team.
- Automate routine operations using Python / Golang.
- Maintain cloud-based services in the public cloud providers (GCP/AWS).
- Administer and troubleshoot Linux operating systems and networks.
- 5+ years of experience as an SRE/DevOps engineer responsible for deployment and maintenance of production systems.
- Experience with Public Clouds (GCP/AWS). Knowledge of Google cloud Dataflow, Cloud Functions, Pub/Sub, or similar AWS technologies would be a plus.
- Automation skills - SaltStack or equivalent tools (Ansible), knowledge of programming languages (Python, Golang, Java).
- Experience with Hashicorp stack: Terraform, Nomad, Consul, Vault.
- A truly global mission with a passionate community in locations all over the world.
- Huge impact and learning potential as our aspirations require bold innovation.
- Estimated salary: $150,000 - $200,000 per year, depending on location and experience.
- Benefits include great health coverage for employee and family.
- Generous time-off policy and flexible work schedule.
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