Signify

Senior Cloud Platform Engineer

Signify

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $150,000 - $165,000 per year

Job Level

Senior

Tech Stack

AWSCassandraCloudDynamoDBElasticSearchGoogle Cloud PlatformGradleJavaJavaScriptKubernetesMySQLPythonTerraformTypeScript

About the role

  • Senior DevOps Engineer responsible for design, implementation, and management of Signifyd's cloud-based infrastructure, leading a team supporting the decision platform
  • Collaborate with cross-functional teams to design, build, and maintain highly available, scalable, and secure cloud-based services
  • Develop and maintain automation scripts and tools for infrastructure provisioning, configuration, and deployment
  • Implement and manage Kubernetes clusters for orchestration, monitoring, and scaling
  • Drive evolution to cloud-native managed services and Kubernetes
  • Enhance cloud infrastructure security: access controls, encryption, vulnerability assessments
  • Collaborate on CI/CD (TeamCity) pipelines and build platform (Java, Gradle Enterprise) to automate software deployment
  • Define and maintain cloud engineering best practices and standards
  • Optimize applications for cloud deployment focusing on performance and scalability
  • Evaluate emerging cloud and DevOps technologies for integration
  • Participate in capacity planning and resource optimization
  • Troubleshoot complex engineering issues, perform root cause analysis, and propose solutions
  • Create and maintain documentation related to cloud infrastructure and security
  • Mentor and provide technical guidance to junior team members

Requirements

  • Lead a team and manage cloud-based infrastructure, containers, Kubernetes, networking, security, scripting, automation, and platform engineering
  • Proficiency in cloud platforms (AWS, GCP) focusing on engineering best practices
  • Extensive expertise in Kubernetes (self-managed and cloud-managed), cloud infrastructure (AWS and GCP), and ideally databases (MySQL, Cassandra, DynamoDB, or Elasticsearch)
  • Deep knowledge of cloud best practices: security, cost optimization, operational excellence, reliability, performance efficiency
  • In-depth knowledge of networking principles, protocols, and security best practices
  • Strong understanding of DevOps practices, CI/CD (TeamCity, GitHub Actions, AWS CodePipeline), and IaC tools (Terraform, Pulumi)
  • Excellent problem-solving skills and communication in fast-paced, collaborative environments
  • Experience with Infrastructure-as-Code best practices (Terraform)
  • Software development experience in languages like Python, JavaScript, TypeScript, or Java
  • Understanding of observability/monitoring/tracing tools (Datadog, CloudWatch, Jaeger, ELK) to support MTTR and reduce CFR