Backend Platform Engineer

  • Plano, TX
  • Posted 20 hours ago | Updated 20 hours ago

Overview

Hybrid
$60 - $70
Contract - W2
Contract - 12 Month(s)

Skills

Java
Kubernetes
DevOps
Terraform
CI/CD
AWS
Python
Amazon Web Services
Backend Development
Cloud Computing
Jenkins

Job Details

This is W2 role - No CTC or sponsorship available.

Candidate must be based in TX - Hybrid 2 days/week in Plano

Must have 10+ years of experience

strong Kubernetes/AWS experience

Strong Java/Python development experience - Java preferred

Job Description:

Build reliable, scalable, and secure backend platform services using Java (preferred) or Python, focused on internal developer workflows (e.g., CI/CD, provisioning, bootstrapping).

Build core Platform Components of our Internal Developer Platform (IDP), driving self-service capabilities and reducing toil across engineering teams.

Design and build Cloud Infrastructure using Terraform and modern AWS services (e.g., EKS, IAM, Lambda, EC2, S3), following infrastructure-as-code and GitOps best practices.

Embed Reliability & Observability by integrating monitoring, tracing, and alerting tools (e.g., CloudWatch, Datadog, ELK) into platform foundations.

Lead Agile/Kanban workflows and team process work.

Troubleshoot customer issues as needed, track all details in JIRA and PagerDuty on-call system

Required Skills:

10+ years of software engineering experience, with:

o 6+ years in backend development with Java (PREFRRED) or Python.

o 6+ years working with AWS and building cloud-native infrastructure.

o 3+ years deploying and operating Kubernetes workloads in EKS or similar environments.

Deep experience in:

o DevOps & Automation: Building CI/CD pipelines using Terraform, GitLab Runner, or Jenkins.

o Security: Implementing role-based access, IAM policies, AD integration, and using security tools for vulnerability scanning and remediation.

o Monitoring & Observability using CloudWatch, Datadog, and Elastic Search.

Expertise in distributed systems, networking, and systems reliability principles.

Track record of technical ownership in complex engineering environments.

Comfortable navigating ambiguity and rapidly evolving requirements with a strong bias for action.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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