Senior Kafka Engineer

Evolutyz Corp

Brea (CA)

On-site

USD 150,000 - 190,000

Full time

21 hours ago
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Job summary

Evolutyz Corp in Irvine, CA is seeking an API Platform Engineering lead for a long-term contract. The role focuses on delivering platform initiatives, advanced troubleshooting, and automation to reduce toil while enabling self-service capabilities.

Ideal candidates will have deep expertise in Kafka, AWS, observability, SRE practices, and building scalable, self-service platforms within distributed systems. Collaboration across teams and driving improvements are essential for success.

Qualifications

  • ,1. Strong experience with Kafka and AWS cloud for high-scale distributed systems.
  • 2. Observability: distributed tracing, event logging, APM synthetic monitoring.
  • 3. Understanding of SRE practices.
  • 4. Experience in automation.
  • 5. Experience building self-service platforms.
  • 6. Web services and messaging protocols.
  • 7. IaC with Ansible and Terraform, OpenShift/Kubernetes.
  • 8. Public cloud providers (AWS).
  • 9. Ability to collaborate across teams and influence decisions at interpersonal level.

Responsibilities

  • Deliver API - Platform Engineering by leading solution initiatives.
  • Recommend and re-engineer solutions to address complex incidents/issues.
  • Conduct advanced troubleshooting, root-cause analysis, and fix bugs.
  • Identify toil and develop automation solutions.
  • Provide solutions through the self-service platform based on business requirements.
  • Participate in piloting new products.

Skills

Kafka
AWS Cloud
Distributed Systems
Observability Tools
SRE Practices
Automation
Self-service Platforms
Web Services
Messaging Protocols
Collaboration

Tools

OpenShift/Kubernetes
Terraform
Ansible

Job description

Summary

Located in Irvine, CA, this is a long-term contract position requiring 12 years of experience. The candidate will deliver API - Platform Engineering by leading solution initiatives. Responsibilities include recommending and re-engineering solutions to address complex incidents/issues, advanced troubleshooting, root-cause analysis, and recommending solutions/fixing bugs. The candidate will identify toil and recommend/develop automation solutions, understand business requirements, and provide solutions through the self-service platform. Participation in piloting new products is also expected.

Responsibilities
  • Deliver API - Platform Engineering by leading solution initiatives.
  • Recommend and re-engineer solutions to address complex incidents/issues.
  • Conduct advanced troubleshooting, root-cause analysis, and recommend solutions/fixing bugs.
  • Identify toil and recommend/develop automation solutions.
  • Understand business requirements and provide solutions through the self-service platform.
  • Participate in piloting new products.
Requirements
  • Strong experience with Kafka and AWS cloud, including experience in building and operating solutions for high-scale distributed systems.
  • Prior experience with enabling "Observability" using tools for distributed tracing, event logging, APM synthetic monitoring.
  • Understanding of SRE practices.
  • Experience in automation.
  • Experience in building self-service platforms.
  • Prior experience with web services and messaging protocols.
  • Prior experience with Infrastructure as Code with Ansible and Terraform, OpenShift/Kubernetes.
  • Prior experience with public cloud providers (AWS).
  • Ability to collaborate with teams and impact decisions at the interpersonal level.
Required Skills
  • Kafka
  • AWS Cloud
  • Distributed Systems
  • Observability Tools
  • SRE Practices
  • Automation
  • Self-service Platforms
  • Web Services
  • Messaging Protocols
  • Infrastructure as Code
  • Ansible
  • Terraform
  • OpenShift/Kubernetes
  • Public Cloud Providers (AWS)
  • Collaboration
Preferred Skills
  • Understanding of SDLC, SAFe terminologies, Agile development methodology.
  • Experience in CI/CD tools such as Jenkins and Git.
Benefits

Details regarding benefits will be provided during the interview process.

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