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Senior Site Reliability Engineer
9.0/10
Bloxstaking
$82,000 – $112,000 USD
Remote
senior
about 1 month ago
May be outdated
techcryptodefiweb3KubernetesArgoCDTerraformCrossplaneGrafanaGoPythonLinux
AI Summary
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Description
Responsibilities
- •Design and implement infrastructure and tools that empower our product teams to rapidly and securely iterate, emphasizing reliability and automation.
- •Influence the strategic direction of our infrastructure and operational practices, ensuring that we are well-positioned to scale and support our growing organization.
- •Take a proactive role in the resolution of production issues, ensuring that we are well-prepared to handle incidents and that we learn from them in a blameless manner.
- •Work closely with product teams on crucial initiatives such as production deployments, release management, and incident handling, aiming for seamless operations.
- •Offer technical expertise and input to support the continual adoption and modernization of our platform and infrastructure.
- •Build and deploy AI-powered tooling (autonomous coding agents, LLM-assisted CI/CD, automated incident triage) that makes the engineering org more productive. Think: sandboxed environments where agents can write, test, and verify code without human babysitting.
- •Foster a culture of continuous learning and improvement, encouraging constructive review and adaptation processes.
Conditions
- •Salary: $82k - $112k estimated.
Requirements
Your Experience & Qualifications
- •Kubernetes expertise, with a strong understanding of its core concepts and the ability to manage and maintain clusters.
- •Expertise within modern cloud native tools, e.g. ArgoCD for GitOps, Terraform/Crossplane for IaC, and the Grafana LGTM stack (Loki, Grafana, Tempo, Mimir) for observability.
- •3-5 years of experience in using Infrastructure as Code and tools for cloud provisioning - Must
- •3-5 years of practice in development and scripting in languages like Go, Python, or similar - Must
- •Proficient in both written and spoken English, with exceptional communication abilities.
- •Expertise when it comes to Linux environments, containerization, and cloud technologies.
- •Comprehensive knowledge of production management concepts for distributed systems.
- •A history of 3-5 years in operational roles, overseeing production settings.
- •AI fluency. You use AI coding tools daily and have opinions about what works. More importantly, you can build and deploy LLM-powered developer tooling and autonomous agents, not just consume them. We want someone who thinks about how to make an entire engineering team more productive with AI.
- •Networking knowledge: bonus points for service mesh experience, platform engineering and cross-cloud networking.
- •Familiarity with the Ethereum ecosystem, staking, and blockchain technologies - Advantage.
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