Were hiring a Senior DevOps Engineer with deep cloud infrastructure experience to join our globally distributed team
If youre looking to join one of the most impactful and forward-thinking infrastructure teams in the industry, our Infrastructure Engineering (IE) group is where you want to be.Were not just keeping the lights on – were reimagining what cloud infrastructure can be. As a core part of the Engineering organization, our team builds next-generation, multi-cloud platforms that power over a billion data points and hundreds of microservices every day.
Our engineers have true ownership, freedom to innovate, and the ability to drive real, measurable change. We operate with start-up agility and enterprise scale, free from the weight of legacy systems and red tape.
Youll work with brilliant teammates, solve high-impact problems, and build systems that empower every engineering team in the company.
About the Role:
Were hiring a Senior DevOps Engineer with deep cloud infrastructure experience to join our globally distributed team.
In this role, youll be responsible for designing, deploying, and maintaining secure, scalable infrastructure across GCP and AWS, leveraging modern technologies like Kubernetes, Terraform, and service mesh frameworks. Youll build automation that developers love, champion operational excellence, and continuously improve our ability to ship fast, safely, and at scale.
What Youll Do?
Design and implement cloud-native infrastructure in GCP and AWS, ensuring scalability, performance, and resilience.
Lead the deployment and lifecycle management of Kubernetes clusters (EKS, GKE) and supporting services.
Automate infrastructure provisioning and updates using Terraform, Helm, and CI/CD pipelines.
Architect and maintain secure network configurations, IAM policies, and service connectivity.
Develop internal tools, templates, and self-service platforms to empower engineering teams.
Enhance observability using tools like Datadog, Prometheus, and Grafana for metrics, logs, and tracing.
Perform root cause analysis, resolve production issues, and design long-term preventive solutions.
Document infrastructure standards and advocate best practices across the engineering organization.
If youre looking to join one of the most impactful and forward-thinking infrastructure teams in the industry, our Infrastructure Engineering (IE) group is where you want to be.Were not just keeping the lights on – were reimagining what cloud infrastructure can be. As a core part of the Engineering organization, our team builds next-generation, multi-cloud platforms that power over a billion data points and hundreds of microservices every day.
Our engineers have true ownership, freedom to innovate, and the ability to drive real, measurable change. We operate with start-up agility and enterprise scale, free from the weight of legacy systems and red tape.
Youll work with brilliant teammates, solve high-impact problems, and build systems that empower every engineering team in the company.
About the Role:
Were hiring a Senior DevOps Engineer with deep cloud infrastructure experience to join our globally distributed team.
In this role, youll be responsible for designing, deploying, and maintaining secure, scalable infrastructure across GCP and AWS, leveraging modern technologies like Kubernetes, Terraform, and service mesh frameworks. Youll build automation that developers love, champion operational excellence, and continuously improve our ability to ship fast, safely, and at scale.
What Youll Do?
Design and implement cloud-native infrastructure in GCP and AWS, ensuring scalability, performance, and resilience.
Lead the deployment and lifecycle management of Kubernetes clusters (EKS, GKE) and supporting services.
Automate infrastructure provisioning and updates using Terraform, Helm, and CI/CD pipelines.
Architect and maintain secure network configurations, IAM policies, and service connectivity.
Develop internal tools, templates, and self-service platforms to empower engineering teams.
Enhance observability using tools like Datadog, Prometheus, and Grafana for metrics, logs, and tracing.
Perform root cause analysis, resolve production issues, and design long-term preventive solutions.
Document infrastructure standards and advocate best practices across the engineering organization.
Requirements:
Technical Qualifications
5+ years operating cloud infrastructure in production (GCP and/or AWS strongly preferred).
Expert-level understanding of Terraform, infrastructure automation, and GitOps workflows.
Hands-on experience managing Kubernetes clusters and container-based workloads.
Proficiency in Go or Python, with experience building reliable tooling and integrations.
Deep understanding of networking concepts, including VPCs, VPNs, DNS, routing, and proxies (e.g., Istio, NGINX).
Familiarity with service meshes, workload identity, and zero-trust architecture is a plus.
Experience deploying and scaling observability stacks (e.g., Datadog, Prometheus, OpenTelemetry)
Background in event-driven systems, messaging platforms (e.g., Kafka) and data infra (BigQuery, Bigtable, Solr, Elasticsearch).
Soft Skills
Passion for automation, quality, and elegant design.
Collaborative mindset with strong verbal and written communication skills.
Initiative to lead projects and drive platform improvements independently.
Education
Bachelors degree in Computer Science or a related field, or equivalent experience and certifications.
Technical Qualifications
5+ years operating cloud infrastructure in production (GCP and/or AWS strongly preferred).
Expert-level understanding of Terraform, infrastructure automation, and GitOps workflows.
Hands-on experience managing Kubernetes clusters and container-based workloads.
Proficiency in Go or Python, with experience building reliable tooling and integrations.
Deep understanding of networking concepts, including VPCs, VPNs, DNS, routing, and proxies (e.g., Istio, NGINX).
Familiarity with service meshes, workload identity, and zero-trust architecture is a plus.
Experience deploying and scaling observability stacks (e.g., Datadog, Prometheus, OpenTelemetry)
Background in event-driven systems, messaging platforms (e.g., Kafka) and data infra (BigQuery, Bigtable, Solr, Elasticsearch).
Soft Skills
Passion for automation, quality, and elegant design.
Collaborative mindset with strong verbal and written communication skills.
Initiative to lead projects and drive platform improvements independently.
Education
Bachelors degree in Computer Science or a related field, or equivalent experience and certifications.
This position is open to all candidates.
