Site Reliability Engineer

About the role

In this role, you will tackle infrastructure problems and enhance system reliability using a variety of tools and technologies. The position emphasizes the importance of treating both infrastructure and application delivery as code, and you will be expected to design and maintain CI/CD workflows and observability systems.

You will work remotely and collaborate with a team that values ownership, curiosity, and continuous improvement. Success in this role involves not only technical expertise but also a proactive approach to problem-solving and a commitment to high-quality work.

Skills that matter here

• Kubernetes: You will operate production Kubernetes clusters and manage scalable infrastructure.
• Terraform: This role requires building declarative infrastructure using Terraform or similar tools.
• Python: Scripting and programming in Python will be essential for automating operational workflows.
• Go: Fluency in Go is required for productive scripting and problem-solving.
• GitOps: Experience with GitOps-style systems is crucial for treating infrastructure as code.
• AWS, GCP, Azure: You will operate within cloud platforms, adapting to or migrating across providers as needed.

Who this role suits

• You have a strong technical foundation and excellent problem-solving skills.
• You are curious about how things work and seek to understand systems deeply.
• You thrive in a collaborative environment and contribute to a culture of clarity and continuous improvement.
• You are comfortable working remotely and managing your own time effectively.

From the employer

Requirements

• Eager to dive into blockchain technology, even if it’s new territory
• Enjoy solving infrastructure problems in unconventional ways and thinking beyond standard patterns
• Use tools like k9s or ArgoCD for speed and abstraction, but comfortable dropping into YAML, logs, or low-level debugging when things go sideways
• Experienced with GitOps-style systems and treating both infrastructure and application delivery as code
• Have scaled deployment automation using patterns like ArgoCD ApplicationSets or similar tooling
• Curious about how things work under the hood and not satisfied with surface-level fixes
• Comfortable in Linux, fluent in shell scripting, and productive in languages like Python or Go
• Comfortable operating within a cloud platform (e.g., AWS, GCP, Azure), with a strong understanding of the underlying components making it easy to adapt to or migrate across providers
• Participated in an on-call rotation, responding to incidents, troubleshooting under pressure, and driving postmortems to improve system reliability over time
• Design systems with security in mind, applying principles like least privilege and threat modeling
• Bring a strong technical foundation, excellent problem-solving skills, and a genuine commitment to high-quality work
• Take ownership, collaborate openly, and contribute to a culture of clarity, curiosity, and continuous improvement
• Operated production Kubernetes clusters and built scalable, declarative infrastructure using Terraform or similar tools
• Deployed and maintained Kubernetes environments, managed system components, and troubleshot applications running on the platform
• Designed CI/CD workflows with ArgoCD, GitHub Actions, CodeBuild, or similar tools, covering both infra and app deployments
• Designed and operated observability systems using time-series metrics, logs, and dashboards with tools like Prometheus, Loki, Mimir, Grafana, and CloudWatch
• Diagnosed tough networking and storage issues across complex, distributed systems
• Implemented secure-by-default infrastructure and contributed to architecture reviews and threat models
• Automated operational workflows using scripting or programming in Python, Go, or Bash
• SREs come from a wide range of backgrounds. If you bring strong problem-solving skills, curiosity, and a drive to build reliable systems, we’d love to hear from you, even if your experience doesn’t perfectly match every bullet point.