Site Reliability Engineering - Java, Kafka, Node.js & AI

Appathon; Phoenix, Northern (AZ, KY); Hybrid; USD 76,000 - 83,000; Full time

Job summary

Appathon seeks an experienced Site Reliability Engineering Lead in Phoenix, AZ. The role focuses on reliability, scalability, and automation for cloud-native systems using Java, Kafka, and Node.js. Hybrid work is available for local candidates.

Requirements include 12+ years in SRE, strong Java/Node.js skills, Kafka expertise, and cloud and observability tooling proficiency. AI/GenAI exposure is a plus as the team drives innovative operational improvements.

Qualifications

• 12+ years IT experience with strong SRE/Production Engineering background.
• Hands-on experience with Java and Node.js development.
• Strong expertise with Apache Kafka and event-driven architectures.
• Experience with monitoring and observability tools such as Splunk, Prometheus, Grafana, Datadog, or ELK.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Experience with Docker, Kubernetes, and containerized environments.
• Strong understanding of CI/CD pipelines and automation tools.
• Excellent troubleshooting and incident management skills.
• Exposure to AI/ML or Generative AI concepts is highly desirable.

Responsibilities

• Lead SRE initiatives to improve system reliability, scalability, and performance.
• Design, implement, and support highly available distributed applications.
• Develop and maintain services using Java and Node.js.
• Build and manage event-driven architectures using Apache Kafka.
• Establish observability, monitoring, logging, and alerting frameworks.
• Drive automation for deployments, incident response, and operational processes.
• Collaborate with development, infrastructure, and DevOps teams to improve system resilience.
• Conduct root cause analysis and implement preventive measures.
• Support CI/CD pipelines and infrastructure automation.
• Stay informed on emerging AI and Generative AI technologies and identify opportunities for operational improvements.

Skills

Java

Node.js

Apache Kafka

AI concepts

Cloud platforms

Docker

Kubernetes

CI/CD

Prometheus

Grafana

Datadog

Splunk

ELK

Education

Bachelor's Degree

Tools

Docker

Kubernetes

Terraform

Ansible

Job description

Site Reliability Engineering - Java, Kafka, Node.js & AI

Location

., ., .

Job Type

55.00 - 60.00

Deadline

Not specified

Education

Bachelor's Degree

Experience

Executive (10+ years)

About the Role

We are seeking an experienced Site Reliability Engineering (SRE) Lead with strong expertise in Java, Apache Kafka, and Node.js along with awareness of AI/Generative AI technologies. The ideal candidate will lead reliability initiatives, enhance platform performance, drive automation, and ensure highly available and scalable systems in a cloud-native environment.

Key Responsibilities

• Lead SRE initiatives to improve system reliability, scalability, and performance.
• Design, implement, and support highly available distributed applications.
• Develop and maintain services using Java and Node.js.
• Build and manage event-driven architectures using Apache Kafka.
• Establish observability, monitoring, logging, and alerting frameworks.
• Drive automation for deployments, incident response, and operational processes.
• Collaborate with development, infrastructure, and DevOps teams to improve system resilience.
• Conduct root cause analysis and implement preventive measures.
• Support CI/CD pipelines and infrastructure automation.
• Stay informed on emerging AI and Generative AI technologies and identify opportunities for operational improvements.

Requirements

Required Skills

• 12+ years of IT experience with strong SRE or Production Engineering background.
• Hands-on experience with Java and Node.js development.
• Strong expertise with Apache Kafka and event-driven architectures.
• Experience with monitoring and observability tools such as Splunk, Prometheus, Grafana, Datadog, or ELK.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Experience with Docker, Kubernetes, and containerized environments.
• Strong understanding of CI/CD pipelines and automation tools.
• Excellent troubleshooting and incident management skills.
• Exposure to AI/ML or Generative AI concepts is highly desirable.

Preferred Qualifications

• Experience leading SRE or platform engineering teams.
• Knowledge of Infrastructure as Code tools such as Terraform or Ansible.
• Familiarity with DevSecOps practices.

Openings: 4

Location: Phoenix, AZ (Hybrid) – Local candidates preferred

Skills

AI and Generative AI technologies Apache Java Node.js