Lead Cloud Engineer - Apache Spark / Google Cloud Platform / Python / Microservices

Charlotte, NC, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
USD0 - USD0
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Job Details

Skills

  • Lead
  • Cloud
  • Engineer
  • Apache
  • Spark
  • GCP
  • Python
  • Micr

Summary

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

Beware of scams. S3 never asks for money during its onboarding process.

Job title: Lead Cloud Engineer Apache Spark / Google Cloud Platform / Python / Microservices
Location: Charlotte, NC
Hybrid work- some on site work
Contract Length: 12+ months

Job ref# 245704

Senior hands-on engineer supporting the Model Risk & Finance platform in a hybrid cloud environment (Google Cloud Platform + OpenShift/Kubernetes).

This is a backend-focused role centered on distributed data processing and platform engineering not UI development.

Key Responsibilities


  • Build, support, and enhance distributed data platforms and backend systems
  • Develop APIs, workflows, and platform components using Python
  • Work on large-scale Spark/PySpark data processing systems
  • Support and optimize Kubernetes/OpenShift-based environments
  • Contribute to CI/CD pipelines and platform automation
  • Debug, troubleshoot, and optimize distributed systems at scale
  • Support ongoing platform enhancements post cloud migration

Core Technologies


  • Apache Spark / PySpark (required)
  • Google Cloud Platform (Google Cloud Platform) (strongly preferred)
  • Kubernetes / OpenShift
  • Python (Django, APIs)
  • CI/CD: GitHub Actions, Helm, Harness

Key Initiative


  • Migration from Hadoop to Google Cloud Platform
  • Build and support hybrid cloud platform (PyFarm)
  • Ongoing platform engineering and optimization after migration

Top Skill Priorities


  1. Spark at scale (production experience)
  2. Hands-on Google Cloud Platform experience (not just exposure)
  3. Kubernetes / OpenShift
  4. Python and microservices development
  5. Debugging and performance tuning of distributed systems

Nice to Have


  • AI/LLM integration experience (building capabilities)
  • GPU or platform-level AI exposure
  • Hadoop migration experience

Team Environment


  • Platform and Application Development team
  • Works closely with Data and Support teams
  • US and India team presence

Target Candidate Profile


  • Platform Engineer (Data / ML platform)
  • Cloud Data Engineer (Spark-heavy)
  • Big Data Engineer with Kubernetes and Google Cloud Platform experience

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.
  • Dice Id: sssmi
  • Position Id: JOB-245705
  • Posted 2 hours ago

Company Info

About Strategic Staffing Solutions

Strategic Staffing Solutions (S3) is a woman-owned, global IT consulting and business services corporation that delivers staff augmentation, managed services, total workforce management programs and direct hire recruiting with industry expertise in financial services, energy and utilities, oil, healthcare and insurance, telecommunications and retail distribution. S3’s Consultants are placed with Customers through the U.S., Europe and the Americas. Founded in Detroit, MI in 1990, S3 has reported consistent growth and profit every year and carries zero debt.

S3 Diversity Statistics
S3 has a 50/50 split among male/female employees; 60% of S3 employees identify as non-white; S3 s leadership team are 50% women; S3 currently employs 73% military veterans, military spouses and military affiliates.

Staffing Industry Analysts CCWP Charter Partner
S3 is the only charter partner for Staffing Industry Analysts Certified Contingent Workforce Professional (CCWP) program- a one-of-a-kind accreditation program designed for all professionals managing corporate contingent staffing.

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