Cloud Support Engineer

Summary

Join MerQube's dynamic team as a Python-oriented Financial Cloud Tech Support Engineer. You will ensure the smooth operation of index calculation systems, providing technical support to internal and external clients. Key responsibilities include client-facing technical support, index operations support, troubleshooting Python-based components, maintaining system reliability, collaborating with engineering teams, documentation, deployment assistance, and staying updated on industry standards. This role requires a Bachelor’s degree, 2+ years of relevant experience, advanced Python knowledge, cloud platform experience, strong analytical and communication skills, and the ability to work in a fast-paced environment. Preferred qualifications include familiarity with index methodologies, financial data APIs, containerization technologies, and database systems. MerQube offers competitive compensation, comprehensive benefits, flexible working arrangements, and opportunities for professional development.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Finance, or a related field
• 2+ years of experience in a support or operations role within financial technology, ideally at a data vendor, index provider, asset manager, or custodian
• Advanced knowledge of Python for scripting and troubleshooting, especially in financial data contexts
• Hands-on experience with cloud platforms (e.g., AWS Azure, Google Cloud)
• Strong analytical and problem-solving skills; capable of investigating anomalies in index values, constituent changes, and rebalance logic
• Excellent interpersonal and communication skills for dealing with both technical and non-technical stakeholders
• Ability to work effectively in a fast-paced, dynamic environment

Responsibilities

• Deliver responsive, high-level support to clients using our index calculation and dissemination platforms. Troubleshoot and resolve inquiries around index behavior, data feeds, and automation scripts
• Ensure accuracy and reliability in the daily operation of index production pipelines, including real-time monitoring, validation, and incident resolution
• Diagnose and resolve issues in Python-based components of the index platform, including data ingestion, transformation, and publishing scripts
• Maintain high availability of financial systems hosted on cloud platforms (AWS, Azure, or GCP) by implementing proactive monitoring, alerting, and performance tuning
• Work closely with product, engineering, and operations teams to communicate client issues, drive root cause analysis, and contribute to continuous platform improvement
• Develop and maintain internal and client-facing documentation, including SOPs, user guides, and technical FAQs related to index services and cloud deployments
• Support the onboarding and deployment of custom index solutions, data pipelines, and API integrations for new and existing clients
• Stay up to date with industry standards and developments in financial indexing, data delivery, and cloud engineering to help improve our offering and support model
• Participate in on-call rotation to provide 24/7 support coverage

Preferred Qualifications

• Familiarity with index methodologies, market data types (e.g., equities, commodities, futures, FX), and rules-based investment strategies
• Experience with financial data APIs and data processing libraries such as Pandas and NumPy
• Knowledge of containerization technologies such as Docker and Kubernetes
• Understanding of database systems, both SQL and NoSQL
• Familiarity with DevOps practices and tools

Benefits

• Competitive compensation packages
• Comprehensive benefits including medical and more
• Flexible working arrangements, including remote work options
• Community-first environment fostering strong relationships
• Emphasis on health, wellness, and work-life balance
• Opportunities for continuous learning, development, and career Growth