Support Engineer

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We are seeking an experienced Support Engineer to join our FILLIP development team on a contractor basis. This hybrid role bridges user support and development, serving as the technical escalation point for complex user issues while maintaining and improving our test infrastructure. You will perform deep technical troubleshooting, analyze logs across our cloud infrastructure, implement and execute test strategies, and drive bug fixes.

When support workload permits, you’ll contribute to testing automation and software quality initiatives. This role is ideal for a hands‑on engineer who thrives in both reactive problem‑solving and proactive quality improvement.

• Serve as the primary escalation point for complex, technically challenging user issues that exceed standard Product Management support capabilities; work directly with users to understand problems, communicate findings, and guide them through resolutions.
• Perform detailed analysis using Splunk and Cloud Watch to diagnose issues, identify root causes, and trace system behavior.
• Implement bug fixes and minor code changes based on findings from user reports, log analysis, and testing.
• Design, implement, and maintain comprehensive automated testing strategies, including unit tests, integration tests, and end‑to‑end testing.
• Execute manual and automated testing to validate fixes, identify regressions, and ensure system reliability.
• Document issues, resolutions, and test results; communicate findings clearly to both technical and non‑technical stakeholders.
• When support workload permits, identify opportunities to improve test coverage, automate repetitive testing tasks, and reduce technical debt.

• 5+ years of software development experience, with demonstrated expertise in Python.
• Strong proficiency in Postgre
  
  SQL and relational database concepts.
• Solid understanding of AWS ecosystem (EC2, ECS, S3, RDS, Aurora, Lambda).
• Hands‑on experience with application logging and log analysis tools (Splunk and Cloud Watch).
• Demonstrated experience designing and implementing test strategies and automated testing frameworks.
• Strong problem‑solving skills and ability to investigate complex technical issues methodically.
• Excellent written and verbal communication skills.
• Ability to work autonomously and adapt to shifting priorities between support and development work.

• AWS Bedrock experience (strongly preferred).
• Experience with Python testing frameworks (pytest, unittest, etc.).
• Familiarity with CI/CD pipelines and automated testing integration.
• Experience with VueJS or other modern frontend frameworks.
• Background in financial services, regulatory technology, or government sectors.

• Backend:
  Python.
• Databases:
  Postgre
  
  SQL (required), basic relational database design.
• Cloud: AWS proficiency across EC2, ECS, S3, RDS, Aurora, Lambda.
• Logging & Monitoring:
  Splunk, Cloud Watch.
• Testing:
  Test automation frameworks, test design methodologies, CI/CD integration.
• Frontend (Optional):
  VueJS or similar frameworks.

• Problem‑solving:
  Methodical approach to troubleshooting and root cause analysis.
• Communication:
  Clear documentation and explanation of complex technical issues to both technical and non‑technical audiences.
• Patience and empathy:
  Demonstrates patience and understanding when addressing technical issues with users who may have minimal technical experience.
• Ownership:
  Takes responsibility for issues through resolution.
• Adaptability:
  Comfortable switching between reactive support and proactive development work.
• Curiosity:
  Drives investigation into underlying system behavior and architectural patterns.

• Contractor role (12‑month initial term, renewable based on project needs).
• Reports to Engineering Manager.
• Works closely with Product Management team on user escalations.
• Flexible schedule with potential for asynchronous work on logging and analysis.
• Access to development and staging environments.

This role is ideal for an engineer who enjoys detective work. It involves digging into logs, understanding system behavior, and solving production problems while also taking pride in improving overall system quality through testing and automation. You’ll have direct impact on user experience and product reliability while maintaining and expanding your hands‑on development skills. Success in this role requires both technical depth and genuine empathy for users navigating new generative AI technology.