Jobs at TekFriday Processing Solutions

Provide rotational-shift production support for business-critical applications and databases. Monitor and resolve incidents within SLAs, troubleshoot Microsoft SQL Server queries and database issues, validate and reconcile NACHA/ACH banking files, investigate application errors, execute approved data corrections, document resolutions, and coordinate with technical teams. Support monitoring of scheduled jobs and file-processing activities while maintaining ownership through incident closure.

Administer and optimize Snowflake environments across development, testing, and production. Manage platform health, performance, cost, RBAC, security, governance, data integration, quality validation, monitoring, incident response, backup, recovery, and business continuity. Support SQL Server-to-Snowflake data movement, troubleshoot pipeline and data discrepancies, automate administrative processes, and contribute to CI/CD, infrastructure-as-code, and architectural improvements.

Manage and maintain Microsoft Azure infrastructure, including virtual machines, storage, networking, load balancing, monitoring, access controls, and security. Respond to incidents, troubleshoot production issues, perform root cause analysis, and support service restoration. Develop PowerShell or Bash automation, assist with patching and vulnerability remediation, optimize costs and performance, maintain operational documentation, and participate in change management and deployment processes.

Lead end-to-end development of scalable iOS and Android applications using cross-platform frameworks. Define mobile architecture, ensure code quality and performance, manage app releases, integrate CI/CD pipelines, and monitor production applications. Collaborate with Product, Design, Backend, and QA teams while mentoring developers, leading technical discussions, supporting hiring, and aligning technical delivery with business goals.

Develop and optimize MS SQL Server and Snowflake data pipelines, transformations, reconciliations, validations, and ETL/ELT workflows. Process large-scale financial and operational datasets, troubleshoot discrepancies and performance issues, support data migration and reporting, automate manual processes, and maintain data quality documentation. Collaborate with Engineering, Operations, Credit, Finance, and Product teams to deliver scalable data solutions and improve operational efficiency.

Design, develop, and maintain Python-based test automation frameworks for web and mobile applications. Create automated tests with Selenium, Playwright, and Appium; implement BDD practices; integrate testing into CI/CD pipelines; execute regression, smoke, and functional suites; analyze defects and logs; support test planning, quality metrics, and manual exploratory testing.

Build, validate, deploy, and monitor real-time credit risk and fraud detection models for fintech underwriting. Develop thin-file models, optimize approval rates, credit limits, and pricing, and conduct A/B experiments. Create data pipelines and retraining workflows, integrate models into APIs, assess drift and stability, and translate analytical findings into business recommendations while balancing risk and growth.

Develops and optimizes SQL Server queries, stored procedures, and data processes. Performs data validation, reconciliation, migrations, production fixes, monitoring, incident troubleshooting, root cause analysis, and data quality checks. Builds SQL Server Agent, PowerShell, and Python automation to improve operational efficiency and data reliability. Coordinates with development teams to resolve defects and maintains incident documentation.

Create animated visual content for videos, advertisements, and social media. Translate scripts and concepts into engaging motion graphics, animate text, images, and UI elements, and maintain brand consistency. Collaborate with design, video, and marketing teams, manage multiple projects, meet deadlines, and incorporate feedback while delivering polished visual narratives.

Generates and qualifies B2B leads through research, networking, calls, email, LinkedIn, events, and meetings. Maintains CRM prospect pipelines, schedules sales meetings and demonstrations, communicates product value, researches markets and competitors, and collaborates with internal teams. The role offers entry-level exposure to enterprise sales, relationship building, CRM tools, and AI-powered prospecting, with occasional travel for client meetings and business events.