Talantix.io
Ripjar•10.04.26
AI SCORE 8.5

Product Support Engineer - Remote Role in Financial Crime Tech

$60K–$80K/year
RemoteFinTech
Python•Node.js•TypeScript•Bash•Linux•MongoDB•Kafka•Elasticsearch•OpenSearch•Jira•Ansible•Jenkins

About the Role

We are seeking a dedicated Product Support Engineer to join our team at Ripjar, specializing in software solutions that combat financial crime. This remote Product Support Engineer role is crucial for ensuring our clients receive top-notch support and assistance with our Screening software. You will work closely with customers in the APAC region, providing essential support during the hours of midnight to 8 AM GMT.

What You'll Do

  • Provide Level 1 and Level 2 support to customer and partner organizations, assisting in issue reproduction and raising internal bug tickets.
  • Develop expertise in the use of Screening software across various customer configurations, staying updated on critical issues.
  • Collaborate with deep support engineers to provide technical advice, ensuring efficient ticket resolution.
  • Work with internal product, development, and QA teams to suggest process improvements that enhance deliverable quality.
  • Create internal reports to help the company understand the scale and challenges of supporting our products globally.

Requirements

  • Ability to work midnight to 8 AM GMT from Sunday to Thursday.
  • Strong troubleshooting skills gained from working with Unix SaaS or on-premise software.
  • Experience with Python, NodeJS, TypeScript, Bash, or other scripting languages.
  • Familiarity with the Linux Operating System and tools like MongoDB, Kafka, Elasticsearch, or OpenSearch.
  • Proven experience in customer problem-solving through written communication and virtual meetings.

Nice to Have

  • Experience with online support portals, ideally Zendesk, and tracking systems like Jira.
  • Familiarity with deployment and configuration management tools such as Ansible and Jenkins/Rundeck.
  • Experience in a fast-paced, context-switching environment.

What We Offer

  • Competitive base salary based on experience.
  • 25 days of annual leave, increasing to 30 days after 5 years, plus Christmas shutdown.
  • Fully remote working environment with a 35-hour work week.
  • Flexible working hours to accommodate personal needs.
  • Private family healthcare and life assurance.
  • Pension salary sacrifice with company contributions.
  • Enhanced maternity/paternity pay.
  • Latest tech, including a top-of-the-range MacBook Pro.
  • A well-stocked pantry with food, snacks, and drinks for when you are in the office.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This remote Product Support Engineer role at Ripjar offers an exciting opportunity to work in the FinTech industry, providing essential support to combat financial crime. With competitive benefits and a focus on innovation, this position stands out.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficiency in Python and Node.js for troubleshooting and debugging software issues related to financial crime tech applications, ensuring efficient problem resolution.

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Strong adaptability to remote work environments, with an emphasis on self-motivation and time management skills to effectively support clients in the APAC region during midnight to 8 AM GMT.

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Experience with database technologies such as MongoDB and Elasticsearch, coupled with a proactive mindset to learn new technologies like Kafka and OpenSearch for enhanced product support.

Learning Resources

→Python for Everybodycourse
→The Complete Node.js Developer Coursecourse
→MongoDB Documentationguide

Career Path

Product Support Engineer(Now)→Technical Support Specialist(1-2 years)→Product Manager or Solutions Architect(3-5 years)

Market Overview

Python Market Size 2024
$20B
Python Annual Growth
11.5%
AI Adoption in Financial Tech
70%
Investment in Financial Crime Tech
+45%
Labour Demand for Python Developers
+30%
Avg Salary for Product Support Engineer
$95K

Skills & Requirements

Required
PythonNode.jsTypeScript
Growing in Demand
Machine LearningData AnalysisDevOps Practices
Declining
PerlJava 8

Domain Trends

Increased AI Integration
Financial crime tech is seeing a 70% adoption rate of AI technologies, driving demand for engineers who can integrate machine learning models with existing systems.
Rise of Real-Time Data Processing
The use of technologies like Kafka has increased by 50% in financial crime detection systems, emphasizing the need for engineers skilled in event-driven architecture.
Focus on Compliance Automation
With regulatory demands rising, 60% of financial institutions are investing in automation tools, creating a demand for support engineers familiar with compliance-related technologies.

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