Role: Sr IBM Sterling MFT Engineer (Managed File Transfer)
Location: Remote
Pay Range: $60/hr on W2 Max
Job Role:
We are seeking a highly experienced Senior Managed File Transfer (MFT) Engineer / System Analyst III to support and enhance enterprise MFT platforms within a large-scale environment, with a strong focus on driving AI adoption and implementation, delivering platform enhancements, advancing automation, and enabling smarter operational support.
This role is focused primarily on engineering, platform enhancements, automation, and ongoing project initiatives, with limited operational responsibilities.
The environment leverages IBM's Sterling ecosystem, including Sterling File Gateway (SFG) and IBM Connect: Direct, and requires deep technical expertise to design, optimize, and automate secure file transfer solutions. Primary production monitoring and Level 1 / Level 2 support are handled by an offshore support team; this role acts as an L3 escalation point when required.
On Call & Support Model
- Day to day production monitoring and support are handled by an offshore operations team
- This role participates in the on call rotation only as an L3 escalation engineer
- On call responsibilities focus on complex technical issues, root cause analysis, and permanent fixes, not routine operational support
Required Qualifications
- 7+ years of experience supporting enterprise integration or application platforms
- Strong hands on experience with IBM Sterling MFT, especially Sterling File Gateway (SFG) and Connect: Direct (required)
- Focused on IBM's Sterling Ecosystems (SFG/SSP/SEAS/B2Bi/Connect Direct) along with additional expertise in building Automation processes.
- Proven ability to design and deliver engineering enhancements, automation, and reliability improvements in MFT environments
- Experience evaluating existing integration systems and recommending improvements to stability, scalability, and workflow efficiency
- Hands on experience or strong interest in AI adoption and implementation, including:
- Applying AI/ML or intelligent automation to integration platforms, monitoring, alerting, and incident analysis
- Using AI driven tools to improve operational efficiency, proactive issue detection, and root cause analysis
- Strong documentation, analytical, and problem solving skills
- Ability to work effectively with distributed and remote teams
Preferred / Additional Skills
- Experience with automation frameworks, scripting, or orchestration tools
- Strong Linux/Unix knowledge and familiarity with enterprise scheduling systems
- EDI experience in-depth is not required; emphasis is on SFG, Connect: Direct, automation, AI adoption, and modernization initiatives
Stephen
Lead Talent Acquisition Specialist
Email :
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