Cloud Application Support Engineer - AWS, Python, Java & SQL
ITBrainiac Inc
Raleigh, NC, United States
9 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Amazon Web Services
Amazon S3
Application Integration Architecture
JIRA
Software as a Service
Cloud Computing Security
Databases
Continuous Integration
Data Validation
Data Masking
+21 more
Data Security
Relational Databases
DevOps
Identity and Access Management
Python (Programming Language)
Operational Databases
SQL Databases
Test Data
Java Application Server
Enterprise Software Applications
Cloud Platform System
Delivery Pipeline
Gitlab
Data Management
Functional Programming
Cloudwatch
Restful APIs
Terraform
Data Inconsistencies
Docker
Servicenow
Requirements
- Candidates with previous experience at Capital One, Freddie Mac, or Fannie Mae are preferred.
- Preferred project experience: 1-4 years. Candidates with more than 6 months of relevant project experience can also be considered.
- Preferred work authorization: L2 , and s.
- H1B candidates may be considered for exceptionally strong profiles.
- Face-to-face interview is mandatory at one of the specified work locations.
- Candidates must be willing to work onsite 3 days per week., We are looking for an experienced Cloud Application Support Engineer with strong hands-on experience in AWS cloud services, application troubleshooting, database support, and production operations.
The ideal candidate will have experience supporting enterprise applications, troubleshooting cloud environments, managing production incidents, and resolving application and data-related issues., * Hands-on experience with AWS services such as S3, RDS, Lambda, CloudWatch, IAM, and ECS.
- Strong SQL knowledge and experience with relational databases.
- Experience with data validation, troubleshooting missing or incorrect data, refresh failures, and data inconsistencies.
- Operational support experience with Python and Java applications.
- Experience analyzing application logs, configuration files, errors, and API responses.
- Strong REST API and application integration troubleshooting experience.
- Customer-facing production and application support experience.
- Experience with Incident Management, Root Cause Analysis (RCA), monitoring, and operational documentation.
- Working knowledge of GitLab, CI/CD pipelines, Terraform, DevOps, and AWS-native deployment pipelines.
- Understanding of cloud security, secure data handling, and non-production data management.
- Excellent communication, problem-solving, and issue-management skills., * Test data provisioning, data refresh, environment readiness, and validation.
- Data masking, anonymization, or synthetic data experience.
- Docker and Kubernetes.
- ServiceNow, Jira, and ITIL.
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