Team Leader guiding Remote’s global SRE platform for compliant international employment. Leading engineers and reliability across Kubernetes, AWS, observability, and infrastructure.
About the role
- Own operational reliability of cloud load balancing infrastructure serving global customers. Design and implement frameworks reflecting customer experience for reliability management.
Responsibilities
- Owning the SRE infrastructure lifecycle from design reviews and pre-rollout readiness assessments through production sign-off and ongoing reliability management
- Designing and implementing frameworks that reflect customer experience for load balancing services and driving action when error budgets are at risk
- Building and maintaining observability pipelines from load-balancing components and system-level sources to dashboards that enable rapid incident triage
- Leading technical incident response for complex NB/NLB failures, acting as the technical commander and driving root cause analysis and preventive follow-through
- Developing and automating safe deployment workflows for phased releases, including bake-period monitoring, feature flag management, and validation across global datacenter rollouts
- Reviewing design documents, product-requirement documents and producing actionable SRE input on operational risks, capacity implications, Day-2 concerns, and product strategy gaps
- Building automation and tooling using Python or Go that reduces operational toil and improves team-wide operational capability
Requirements
- 8+ years of experience in SRE, infrastructure engineering, or platform engineering, working with large-scale distributed systems
- Demonstrate deep expertise with Linux networking fundamentals and diagnosing at the packet level using tcpdump, netstat, and similar tools
- Have hands-on experience with L4/L7 load balancing technologies covering configuration, health checking, high availability, and failure modes at scale
- Show a track record of defining SLO/SLI frameworks, building observability platforms from scratch, and running incident management processes at scale
- Demonstrate expertise in Kubernetes and containerization at scale including workload scheduling, networking, resource management, and operating stateful or network-intensive workloads in a cluster environment
- Build automation and tooling using Python or Go, with infrastructure-as-code experience (SaltStack, Ansible, or Terraform) and deployment safety instincts.
Benefits
- healthcare
- RRSP
- company holidays
- vacation (in the form of PTO)
- sick time
- family friendly benefits including employee assistance program including a focus on mental and financial wellness
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