TrueML

• Partner cross-functionally with UX and Payments teams to design, build, and maintain a seamless, accessible front-end web experience • Develop and extend cutting-edge features, including alternative payment integrations and flexible scheduling models • Take full end-to-end technical responsibility over complex, long-term product features • Translate high-level business and product requirements into elegant, documented technical implementations • Write high-quality, highly maintainable code across our streaming architectures and microservices • Proactively identify, prioritize, and record structural inefficiencies within the codebase • Mentor and level up fellow engineers through pair-programming and active knowledge sharing • Implement robust automated testing to maintain system reliability

• Portfolio Ownership: Manage and grow a portfolio of roughly 15 strategic clients ranging from fintechs to enterprise organizations. • Strategic Partnership: Serve as a trusted advisor by leading Executive Business Reviews and proactively recommending solutions that anticipate client needs. • Commercial Growth: Drive the commercial success of your portfolio by owning customer retention, expansion strategies, and overall revenue growth. • Subject Matter Expertise: Develop deep industry knowledge in areas like fintech lending, consumer engagement, and AI-enabled workflows to challenge assumptions and introduce new ideas. • Executive Relationship Management: Build trusted relationships across multiple levels of client organizations to confidently facilitate executive conversations and influence strategic direction. • Cross-Functional Leadership: Act as the voice of the customer internally, partnering with Product, Engineering, and Sales to remove roadblocks and drive continuous platform improvement. • Success Planning: Monitor portfolio health through quantitative and qualitative metrics, building annual account plans to mitigate risks early.

• Own the Legal Front Door: Manage and triage incoming requests via our legal inbox and Jira tickets, ensuring the business gets swift, prioritized support. • Drive Tech & CLM Optimization: Act as the administrator for our legal tech stack, specifically building out new automated workflows and templates in Ironclad. • Manage the Contract Lifecycle: Draft and review standard commercial agreements (like NDAs, vendor, and client contracts). • Build Playbooks & Guardrails: Develop and update internal legal playbooks, self-service guides, and FAQs. • Champion Operational Excellence: Maintain legal KPIs and dashboards to help the team make data-driven decisions. • Support Corporate Governance: Handle state filings, maintain corporate records, and organize our internal digital knowledge base. • Execute Generalist Legal Support: Tackle a diverse range of delegated projects, including legal research and drafting internal policies.

Why TrueML? TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system. The Opportunity: TrueML Products is seeking a highly experienced and motivated Sr Quality Engineer II to join our dynamic team and serve as a technical lead in our Quality Engineering team. This role is critical in driving our overall quality strategy, establishing best practices, and ensuring the delivery of high-quality software products. This position will report to the Manager, Quality Engineering and be deeply involved in defining the test automation architecture. The ideal candidate is hands-on, with a process improvement mindset. We are looking for someone who is eager to solve complex testing challenges and leverages GenAI tooling as a second-nature. Work-Life Benefits - Unlimited PTO - Medical benefit contributions in congruence with local laws and type of employment agreement What You’ll Do: - Technical Leadership: - Define and champion QE best practices, standards, and processes within the team and across engineering. - Evaluate and recommend new testing tools, technologies, and methodologies to enhance quality and efficiency, with a specific focus on promising agentic AI-powered solutions. - Drive the quality strategy and execution for significant product areas or projects. - Design, develop, and implement a scalable and maintainable test automation framework. - Drive improvements in QE processes, methodologies, and tools. - Participate in architectural discussions, providing input on testability and quality considerations. - Collaborate with development and product teams to integrate quality practices throughout the SDLC (Shift-Left). - Lead code reviews and provide constructive feedback on test automation code. - Provide technical guidance and support to QE team members, fostering their growth and development. - Hands-on Quality Engineering: - Design, develop, execute, and maintain automated test scripts for functional, regression, performance, and security testing. - Analyze application and system architectures to identify potential quality issues and design effective test strategies. - Perform exploratory, integration, and end-to-end testing - Identify, isolate, report, and track defects, working closely with developers to ensure resolution. - Analyze test results, generate test reports, and provide quality metrics to stakeholders. - Contribute to CI/CD pipeline integration for automated testing. - Stay current with industry trends and advancements in software testing and quality assurance, particularly in the rapidly evolving field of generative AI for QE. Required Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - 7+ years of experience in software quality engineering, with a strong emphasis on test automation. - Experience in building, and maintaining robust test automation frameworks (e.g., using Selenium, Cypress, Playwright, Appium, REST Assured, Pytest, JUnit/TestNG). - Strong programming/scripting skills in one or more languages (e.g., Python, Java, JavaScript, C#). - Strong understanding of software QA methodologies, tools, and processes. - Experience with API testing and automation tools (e.g., Postman, SoapUI). - Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, GitHub Actions). - Experience with version control systems (e.g., Git). - Experience leveraging GenAI tooling to generate tests and enhance test coverage - Excellent problem-solving, analytical, and debugging skills. - Strong communication and interpersonal skills Preferred Qualifications: - Master's degree in a related field. - Experience with performance and load testing tools (e.g., JMeter, k6, LoadRunner). - Experience with security testing concepts and tools. - Experience testing cloud-based applications (AWS, Azure, GCP). - Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). - Experience with databases and SQL. We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference. Our Dedication to Diversity & Inclusion TrueML is an equal-opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions, and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• Security Automation & CI/CD Integration (Core Focus): Embed security controls and scanners (SAST, SCA, DAST, IaC, Container Security) into CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, Azure DevOps). • Design and maintain automated security workflows across build, test, and deploy stages. • Implement security gates, policy enforcement, and compliance checks within pipelines. • Cloud Security (AWS Focus): Secure cloud-native architectures across AWS (IAM, VPC, ECS/EKS, Lambda, S3, API Gateway). • Integrate and operationalize CNAPP/CSPM tools (e.g., Wiz, Prisma Cloud). • Enforce least privilege access, secrets management, and runtime protections. • Own Cloud Security: Define and maintain security policies for our AWS environment, specifically focusing on containerized workloads (EKS/ECS) and serverless architectures (Lambda). • Automate Compliance: Move beyond manual checks by building real-time monitoring and automated remediation for AWS resources, ensuring we stay 'audit-ready' for frameworks like PCI and ISO 27001. • Lead Threat Modeling: Perform deep-dive threat modeling exercises on applications and designs, turning theoretical risks into actionable engineering plans. • Innovate with AI: Develop security standards for Generative AI leveraging AI-powered tools to explore our attack surface. • Guard the Infrastructure: Secure our Infrastructure as Code (IaC) templates (Terraform/CloudFormation) and manage cloud primitives like IAM, KMS, and WAF to ensure a 'least privilege' environment.

• Implement the technical roadmap for Infrastructure as Code (IaC), CI/CD evolution, and cloud-native architecture to support TrueML’s scaling needs. • Design, develop, and maintain self-service internal platforms to reduce developer cognitive load, enabling feature teams to deploy and manage services with minimal friction at increased velocity. • Act as a core steward for cloud spend (AWS), proactively identifying and driving cost-optimization initiatives across our infrastructure. • Build and maintain infrastructure architecture that supports strict High Availability (HA) requirements and robust Disaster Recovery (DR) protocols across multiple regions. • Implement and evolve comprehensive monitoring, logging, and distributed tracing systems, leveraging AIOps to move from reactive to predictive system maintenance.

• Contribute to both the technical and product roadmap, providing input and effort estimates during initiative discovery and execution. • Collaborate with product managers and engineers to translate business needs into elegant, effective technical solutions. • Anticipate and resolve challenges before they become blockers — identify potential failure points, plan solutions, and weigh trade-offs thoughtfully. • Mentor and support teammates, sharing knowledge through pair programming, code reviews, and technical discussions.

• Mentor, and manage a team of individual contributors (Platform Enablement Engineers), establishing clear career development pathways, performance metrics, and a culture of continuous learning. • Oversee the prioritization and resolution of complex workflow failures and system anomalies. Act as the final operational authority for high-impact escalations, collaborating with Engineering leaders to streamline the bug-fix and development cycles. • Serve as the lead translator across departments, regularly synthesizing high-severity technical blockages and system patterns into clear, "business-speak" impact statements for executives, Tier 1 support, and business stakeholders. • Own the strategy for technical documentation (e.g., Confluence). Define standard decision trees and troubleshooting playbooks to safely scale self-service resolution across Tier 1 support. • Maintain ultimate accountability for triage queue efficiency, establishing SLA/SLO baselines and implementing workflows that prevent "stale" issues from lingering. • Aggregate telemetry data and ticket patterns to isolate systemic platform friction points. Present data-backed business cases to Product and Engineering leadership to drive long-term infrastructure and product enhancements. • Identify, champion, and execute internal tooling tweaks or process improvements to minimize operational overhead for the team. • Pioneer and enforce the team's internal adoption of GenAI tools to accelerate log summarization, code comprehension, and SQL script generation, driving a best-in-class mean-time-to-resolution (MTTR). • Cultivate an environment of knowledge sharing where investigative techniques, automated scripts, and AI prompts are standardly cataloged in public technical channels.

• Security Integration: Work with development and DevOps teams to integrate security into the software development lifecycle (SDLC). • Vulnerability Management: Identify, assess, and mitigate security vulnerabilities in applications, infrastructure, and cloud environments. • AWS Security: Implement and maintain security controls in AWS, including IAM policies, security groups, VPC configurations, and monitoring. • DevOps Security: Collaborate with DevOps teams to incorporate security best practices in CI/CD pipelines, including automated testing, secure code reviews, and infrastructure as code (IaC) security. • Threat Modeling: Conduct threat modeling and risk assessments to identify potential security threats and develop mitigation strategies. • Incident Response: Assist in developing and executing incident response plans, including identifying and responding to security incidents. • Compliance & Best Practices: Ensure that all systems and applications comply with relevant security standards, regulations, and best practices (e.g., OWASP , NIST , ISO 27001). • Security Training: Provide security training and guidance to engineering teams to promote secure coding and infrastructure management practices. • Continuous Improvement: Continuously monitor, evaluate, and improve security practices, tools, and processes.

• Own the comprehensive strategy for the end-to-end payment lifecycle across all current and future channels (e.g., credit/debit cards, ACH, digital wallets, wire transfers) • Take ownership of team growth, initially managing and mentoring one direct report, with the opportunity to scale the function as the company expands • Proactively architect payment flows to eliminate operational bottlenecks, championing automation projects that improve processing speeds, maximize authorization rates, and aggressively reduce operational costs • Act as the primary relationship lead and escalation point for third-party payment providers, processors, acquiring banks, and payment gateways, negotiating operational terms to support business goals • Establish advanced monitoring frameworks to catch system anomalies, rapidly troubleshooting high-priority operational incidents in lockstep with Engineering and Finance leaders • Design and enforce rigorous daily operational controls and reporting structures to ensure absolute compliance with network rules (e.g., Visa, Mastercard) and strict regulatory standards (e.g., AML, KYC) • Transform complex transactional data into high-level operational metrics (fraud trends, settlement timing, chargeback volumes) to provide actionable, strategic recommendations to executive leadership