Platform Engineer / Site Reliability Engineer (SRE)

JOB TITLE: Platform Engineer / Site Reliability Engineer (SRE)

Location: Urbandale IA (Hybrid) Only Locals

Duration: 12 months

MOI: Skype

Client: John Deere

Pay Rate: $60/hr. on C2C

LinkedIn, DL, and Visa is Must

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Note: A Glider Assessment is required before the interview process.

Position Overview

Client is seeking a Platform Engineer / Site Reliability Engineer (SRE) to join its Platform Engineering team. This hybrid role requires working on a split schedule between onsite and remote. The engineer will collaborate closely with product teams, enabling reliable, scalable, and high-quality platform services. The ideal candidate is a strong communicator who thrives in a paired programming environment and demonstrates initiative and ownership.

Key Responsibilities

Design, develop, and maintain cloud-native platform services.

Support product teams by planning work, coordinating cross-functional activities, and delivering platform capabilities.

Deploy, manage, and optimize Kubernetes (EKS) clusters in AWS.

Build and maintain Infrastructure as Code (IaC) using Terraform.

Improve system reliability, scalability, observability, and performance.

Implement monitoring, logging, tracing, and alerting solutions.

Participate in paired programming and code reviews.

Troubleshoot production issues and implement long-term reliability improvements.

Collaborate with engineers to deliver secure and resilient cloud infrastructure.

Contribute to automation and CI/CD improvements.

Required Qualifications

3–6 years of software development experience.

Strong programming experience in:

Java (preferred – approximately 70%)

Go

Scala

Python

3–6 years of Site Reliability Engineering (SRE), observability, or distributed tracing experience.

3+ years of AWS cloud experience.

3+ years managing or deploying Kubernetes/EKS clusters.

Experience with Terraform for infrastructure automation.

Knowledge of OpenTelemetry for observability.

Ability to manage multiple priorities in a fast-paced environment.

Excellent verbal and written communication skills.

Comfortable working in a collaborative paired programming environment.

Self-motivated with strong initiative and problem-solving skills.

Preferred Qualifications

• Experience with Datadog and/or Grafana .

• Experience building scalable cloud-native applications.

• Familiarity with DevOps, CI/CD pipelines, and automation best practices.