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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Transformation Engineer - Software Development, AI & Quality Engineering - **Company:** Fitch Group, Inc. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $150,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Automation of Tests, Continuous Integration, Data Auditing, Extract Transform Load (ETL), Data Systems, Relational Databases, DevOps, Distributed Systems, Python (Programming Language), PostgreSQL, Machine Learning, Oracle (Applications), Selenium, Software Engineering, SQL Databases, Data Streaming, System Availability, Model Validation, Build Management, Playwright, Data Management, Microservices - **Published:** July 22, 2026 - **Apply:** https://www.dice.com/job-detail/ec93dd16-97ad-4fbe-bcfa-35e5c8dfe5a0 ## About the Role * 8+ years of experience in software engineering, data platforms, ETL, or large-scale distributed systems. * Strong hands-on development experience, particularly in Python, with the ability to build reusable frameworks, services, and automation solutions. * Experience applying AI/ML or intelligent automation in engineering workflows, especially in validation, testing, optimization, or anomaly detection. * Strong knowledge of data systems, including ETL, batch/streaming pipelines, APIs, and microservices. * Advanced experience with SQL and relational databases such as Oracle and PostgreSQL. * Experience with modern automation and quality tools, including Playwright and/or Selenium, with a strong understanding of how quality engineering supports software delivery. * Familiarity with CI/CD, DevOps, and continuous quality engineering practices. * Demonstrated ability to influence teams to adopt quality-first and shift-left practices across design, development, and deployment. * Familiarity with self-healing automation, intelligent orchestration, or AI-assisted validation frameworks. What Would Make You Stand Out: * Strong understanding of how intelligent test orchestration supports DevOps and continuous quality gates. * Familiarity with AI- or ML-based approaches for data quality assurance including model validation, drift detection, or intelligent checks. * Ability to act as a thought partner on how AI can continuously improve engineering and quality outcomes across platforms. * Awareness of AI governance, explainability, and responsible AI principles, particularly in regulated or risk-sensitive environments. * Financial Services Background - Experience with analytical workflows, financial products, or regulatory processes ## Description * Design and build scalable engineering solutions that use AI and automation to improve software delivery, testing, and platform reliability. * Develop production-grade frameworks, services, and utilities in Python and related technologies to support intelligent validation, automation, and quality controls. * Partner with engineering teams to embed quality engineering and validation practices early in the development lifecycle and drive shift-left transformation. * Apply AI/ML techniques to improve test generation, coverage optimization, anomaly detection, defect identification, and engineering insight. * Build and enhance data and platform validation capabilities across ETL pipelines, APIs, microservices, and streaming architecture. * Integrate automation and intelligent quality checks into CI/CD pipelines to support continuous testing, quality gates, and release confidence. * Help modernize legacy QA approaches into developer-aligned quality engineering frameworks and scalable engineering practices. * Collaborate across Technology, Risk, Compliance, Operations, and Emerging Tech to drive consistent engineering and quality outcomes. * Provide clear reporting and insights on engineering quality, risks, and release readiness, leveraging AI where appropriate. ## Related Videos - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Boost Productivity with AI: Figma & Playwright MCP Workflows - Aris Markogiannakis](https://www.wearedevelopers.com/videos/1768-boost-productivity-with-ai-figma-playwright-mcp-workflows-aris-markogiannakis) - [Proactive monitoring and smoke testing in your production environment](https://www.wearedevelopers.com/videos/139-proactive-monitoring-and-smoke-testing-in-your-production-environment) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Are Classical Automation Frameworks Dead? How AI Agents Are Transforming QA](https://www.wearedevelopers.com/videos/100243-are-classical-automation-frameworks-dead-how-ai-agents-are-transforming-qa) - [Old tools, new tricks](https://www.wearedevelopers.com/videos/1916-old-tools-new-tricks) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)