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Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)
Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g.
Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g.
Collaborate with development and operations teams to define infrastructure requirements and ensure scalability, reliability, and security of our systems.
Own one of our core platform areas end-to-end: observability (VictoriaMetrics, Grafana, Graylog / VictoriaLogs, fluent bit, exporters, alerting) or CI/CD (Jenkins scripted pipelines, Harbor, Nexus
Owning our Kubernetes foundations: building and operating production GKE clusters with reliable networking, ingress, service-to-service communication, workload isolation, autoscaling and deployment patterns.
You are a builder: You don't just use tools; you build them. You have 5+ years of experience in SRE, DevOps, DevEx or Platform Engineering with a heavy emphasis on software development.
Lead and contribute to a team of DevOps/SRE engineers focused on Observability (monitoring, logging, alerting) and Developer Experience (CI/CD pipelines, internal developer tools).
Lead and contribute to a team of DevOps/SRE engineers focused on Observability (monitoring, logging, alerting) and Developer Experience (CI/CD pipelines, internal developer tools).
Define and drive the technical roadmap for personalization and recommender systems, prioritizing roadmap items to meet business goals and defining short-term vision for the team.
Driving the design and implementation of defense-in-depth infrastructure and application security solutions for our customer facing SaaS platform in AWS public cloud environments
Work with a team of DevOps and DBA professionals; covering Saturday, Sunday and Monday (5 days in total with flexibility in your days off) as a Weekend DevOps Engineer
Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.