Job Description

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 / GCP / 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 (GCP + 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 (GCP) (strongly preferred)
• Kubernetes / OpenShift
• Python (Django, APIs)
• CI/CD: GitHub Actions, Helm, Harness

Key Initiative

• Migration from Hadoop to GCP
• 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 GCP 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 GCP experience