Jr. Systems Engineer -SWIFT Platform

Position: Linux/Cloud Systems Engineer
Location: Pittsburg, PA -- Hybrid
Onsite: Tuesday, Wednesday & Thursday
Duration: 12 months
Pay: $50-55/hr W2

About the Opportunity
Our client is seeking a motivated early-career engineer to join a team supporting and modernizing a business-critical SWIFT platform and its underlying infrastructure.
The ideal candidate does not need to be a SWIFT expert. Our client is looking for someone with solid technical fundamentals, strong troubleshooting and problem-solving skills, and an eagerness to learn technologies including AWS, CI/CD, GitHub, Infrastructure as Code, automation, and AI-assisted engineering tools.
This individual will work closely with CloudOps, IAM, Cybersecurity, Networking, and application teams while gaining hands-on experience with production systems, cloud infrastructure, deployments, monitoring, incident response, security, and operational automation.
Key Responsibilities

• Support the day-to-day operation and reliability of the SWIFT platform and related infrastructure
• Monitor applications and infrastructure, investigate alerts, and assist with incident troubleshooting and resolution
• Perform server health checks, log reviews, system monitoring, and troubleshooting
• Assist with application deployments, upgrades, patching, configuration changes, and change-management activities
• Learn and support AWS cloud services used within the SWIFT environment
• Contribute to automation and process-improvement initiatives designed to reduce manual operational work
• Participate in CI/CD, GitHub workflows, DevOps, and Infrastructure as Code initiatives
• Maintain technical documentation, runbooks, troubleshooting guides, and operational procedures
• Collaborate with CloudOps, IAM, Cybersecurity, Networking, and application teams
• Support security, audit, compliance, and vulnerability remediation activities
• Participate in Agile ceremonies, sprint planning, and other team deliverables
• Participate in an on-call/support rotation as technical knowledge and experience develops
• Use AI-assisted engineering tools to improve troubleshooting, documentation, coding, and automation

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related technical discipline, or equivalent hands-on experience
• Approximately 0-3 years of engineering experience, including internships, academic projects, labs, or personal projects
• Strong foundational knowledge of Linux/Unix environments
• Understanding of cloud computing concepts, preferably AWS
• Basic scripting or programming experience with Python, Bash, or another programming language
• Understanding of fundamental networking and infrastructure concepts
• Exposure to Git/GitHub or another source-control platform
• Basic understanding of DevOps and CI/CD concepts
• Strong troubleshooting, analytical, and problem-solving skills
• Ability and willingness to learn unfamiliar technologies and work in a production support environment
• Strong communication and collaboration skills

• Hands-on AWS experience, particularly EC2, VPC, Security Groups, and IAM
• Exposure to GitHub Actions, Jenkins, Azure DevOps, or similar CI/CD technologies
• Infrastructure as Code experience with Terraform or AWS CloudFormation
• Linux administration experience
• Exposure to DevOps, automation, monitoring, or infrastructure management
• Familiarity with AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or Claude
• Basic understanding of cybersecurity, vulnerability management, secure coding, and access controls
• Exposure to SWIFT technologies such as AWP, SAA, SAG/SNL, or HSM
• Financial services, banking, payments, or other highly regulated technology experience
• Exposure to Agile/Scrum practices

• Linux experience
• Some AWS/cloud exposure
• Python or Bash scripting
• Git/GitHub
• Basic CI/CD knowledge
• Strong troubleshooting skills
• Interest in automation
• Exposure to AI-assisted engineering tools
• A willingness to work in a production/operational environment
• Strong communication skills and a desire to learn