Staff Cloud Platform Engineer- Core Infra

Posted about 1 month agoViewed

💎 Seniority level: Staff, 8+ years

📍 Location: USA

🔍 Industry: Software Development

🏢 Company: Sift👥 251-500💰 Secondary Market about 3 years agoFraud Detection Big Data Predictive Analytics Analytics Network Security

🗣️ Languages: English

⏳ Experience: 8+ years

🪄 Skills: AWSDockerPythonSQLCloud ComputingGCPJavaJenkinsKafkaKubernetesRubyRuby on RailsSnowflakeAirflowAlgorithmsData engineeringData StructuresREST APISparkCI/CDProblem SolvingRESTful APIsLinuxDevOpsTerraformMicroservicesScalaData modelingScriptingData managementDebugging

Requirements:

8+ years of experience as a Software Engineer focused on infrastructure/platform services or in a Site Reliability Engineering (SRE) role.
Strong programming skills in languages such as Java, Scala, or Python.
Experience designing and implementing distributed systems.
Experience building and managing cloud infrastructure on AWS or GCP.
Expertise in building infrastructure as code and automating provisioning processes using tools like CloudFormation or Terraform.
Proficiency in setting up and managing monitoring and alerting systems, both open-source and commercial.
Familiarity with Docker and container orchestration technologies like Kubernetes, GKE, or AWS ECS.
Strong experience troubleshooting and resolving production system issues, with a focus on building automated solutions to prevent future occurrences.
Proven expertise in automation and a solid understanding of configuration management tools.

Responsibilities:

Own the availability, performance, and scalability of Sift’s primary online storage systems and infrastructure
Design and build immutable infrastructure and fault-tolerant, multi-AZ/multi-region systems that are resilient and self-healing.
Design and Implement multi-region deployments, such as BigTable clusters spanning multiple regions, with strategies to ensure specific customers are routed to designated regions (e.g., sticky sessions at the regional level).
Solve complex problems that arise from our unique data volume and request rate which may involve digging deep into data store and messaging internals
Optimize local development and testing workflows to be fast, efficient, and seamless.
Design and implement services and libraries for components to interact with data stores, messaging layer and services platform
Develop tools for monitoring, detecting faults, and automatically repairing distributed systems
Provide design support to internal engineering teams for optimal usage of data stores, data growth planning, production workload optimization, messaging, caching and service platform
Participate in on-call support and incident response activities, providing 12/7 coverage for one calendar week approximately once every 3-4 weeks.

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