Senior Site Reliability Engineer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Site Reliability Engineer based in United States.
This role offers the opportunity to shape the reliability, scalability, and security of modern cloud infrastructure supporting mission-critical applications.
You will work at the intersection of Kubernetes, automation, AI infrastructure, and developer productivity to build resilient systems at scale.
The position combines hands-on engineering with technical leadership, enabling teams to deliver software faster while maintaining high operational standards.
You will design and optimize infrastructure platforms, CI/CD workflows, observability solutions, and production environments.
The ideal candidate is passionate about automation, reliability engineering, and emerging AI-driven operational workflows.
You will collaborate with engineering teams across the organization to improve delivery processes, system performance, and infrastructure maturity.
This is an opportunity to make a direct impact on secure, high-availability platforms in a fast-moving technology environment.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Site Reliability Engineer based in United States.
This role offers the opportunity to shape the reliability, scalability, and security of modern cloud infrastructure supporting mission-critical applications.
You will work at the intersection of Kubernetes, automation, AI infrastructure, and developer productivity to build resilient systems at scale.
The position combines hands-on engineering with technical leadership, enabling teams to deliver software faster while maintaining high operational standards.
You will design and optimize infrastructure platforms, CI/CD workflows, observability solutions, and production environments.
The ideal candidate is passionate about automation, reliability engineering, and emerging AI-driven operational workflows.
You will collaborate with engineering teams across the organization to improve delivery processes, system performance, and infrastructure maturity.
This is an opportunity to make a direct impact on secure, high-availability platforms in a fast-moving technology environment.
Accountabilities:
- Design, build, and scale Kubernetes-based infrastructure supporting secure, multi-tenant, and highly available applications.
- Develop and operate AI tooling infrastructure, including secure AI access patterns, MCP servers, and governance frameworks for production environments.
- Optimize CI/CD pipelines to improve deployment speed, reliability, automation, and rollback safety.
- Implement progressive delivery practices such as blue/green deployments and canary releases.
- Advance Infrastructure as Code practices using tools such as Terraform, Helm, and GitOps workflows to create reusable infrastructure patterns.
- Operate and improve streaming and analytics infrastructure, including Kafka, Flink, and ClickHouse environments.
- Establish and enhance observability practices through monitoring, SLOs, alerting systems, and operational dashboards.
- Lead incident response activities, perform root cause analysis, and drive long-term reliability improvements.
- Build automated testing practices into the software delivery lifecycle.
- Mentor engineers and promote best practices across Kubernetes, cloud infrastructure, automation, and reliability engineering.
- 6+ years of experience in Site Reliability Engineering, DevOps, Infrastructure Engineering, or related roles with significant production Kubernetes experience.
- Hands-on experience integrating AI/LLM tools into engineering or operational workflows, including understanding security, governance, and access control considerations.
- Proven experience designing and maintaining CI/CD pipelines using tools such as GitHub Actions, Jenkins, GitLab CI, or similar technologies.
- Strong knowledge of Kubernetes internals and managed cloud Kubernetes services such as EKS, GKE, or AKS.
- Experience with Infrastructure as Code tools including Terraform, Helm, Pulumi, or equivalent solutions.
- Proficiency in scripting or programming languages such as Python, Bash, or Go.
- Experience with observability platforms such as Prometheus, Grafana, Datadog, or OpenTelemetry.
- Production experience working with distributed systems, streaming technologies, and analytics platforms such as Kafka, Flink, and ClickHouse.
- Strong understanding of cloud infrastructure, automation, system reliability, and operational excellence.
- Excellent communication and collaboration skills with the ability to work effectively across engineering teams.
- Experience with multi-region Kubernetes environments, chaos engineering, security automation, policy-as-code, or MLOps workflows is a plus.
- Competitive compensation package ranging from BRL 422,500 – BRL 485,000 total compensation (base salary plus bonus).
- Stock options and equity opportunities.
- Health benefits and country-specific employee support programs.
- Unlimited paid time off and flexible leave policies.
- Paid parental leave.
- Tuition reimbursement and learning and development opportunities.
- Flexible remote working environment.
- Additional employee benefits designed to support professional growth and well-being.