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AWS Cloud Engineer C2C AI​/RegTech Platform | Rockville, MD

Job in Rockville, Montgomery County, Maryland, 20849, USA
Listing for: US staffing Inc
Seasonal/Temporary position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    AWS, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: AWS Cloud Engineer C2C jobs- Support (AI/RegTech Platform) | Rockville, MD

Job Title: AWS Cloud Engineer – Support (AI/Reg Tech Platform)

Location: Rockville, MD or Tysons Corner, VA (Hybrid)

Contract

Job Description

Our client in hiring a Support Engineer to help scale and enhance FILLIP — a next-generation generative AI platform built for regulatory intelligence and long-document processing. This is a hybrid role combining technical support, automation, and development engineering. You will be the key escalation point between end users and the core engineering team, ensuring system reliability for 5,000+ users.

What You’ll Do
  • Serve as Level-2 technical escalation for complex platform issues
  • Analyze logs across Splunk and AWS Cloud Watch
  • Perform root-cause investigations and validate fixes
  • Build and maintain automated test frameworks (Python)
  • Execute manual & automated test cases to strengthen platform reliability
  • Work across AWS infrastructure: EC2, ECS, Lambda, S3, RDS/Aurora
  • Implement minor bug fixes and support cloud integrations
  • Communicate with users, document findings, and prevent recurring issues
Required Skills
  • 5+ years of software engineering experience
  • Strong Python skills + test automation frameworks
  • Deep experience with AWS (EC2, ECS, Lambda, S3, RDS/Aurora)
  • Strong knowledge of PostgreSQL
  • Hands-on experience with Splunk & Cloud Watch
  • Excellent troubleshooting and communication skills
Preferred Skills
  • Experience with AWS Bedrock (big plus!)
  • Exposure to Vue.js/modern JS frameworks
  • Knowledge of CI/CD pipelines
  • Familiarity with AI/LLM applications
  • Experience in financial services, regulatory, or government environments
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