TrueML

DevOps Engineer

• 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.

Senior DevOps Engineer

Application Engineer

• 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.

Senior Application Security Engineer

Manager

• 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.

Manager, Platform Enablement

Operations

• Own the Daily Payment Lifecycle: Be the primary point of contact for the end-to-end operational execution of payment processing across all supported channels (e.g., credit/debit cards, ACH, digital wallets, wire transfers).
• Operational Monitoring and Incident Response: Proactively monitor payment system performance, identify transaction failures, reconcile discrepancies, and rapidly troubleshoot and resolve operational incidents in partnership with Engineering and Finance teams.
• Compliance and Risk Management: Execute daily operational controls, including transaction monitoring and reporting, to ensure compliance with relevant payment network rules (e.g., Visa, Mastercard) and regulatory standards (e.g., AML, KYC).
• Process Optimization and Efficiency: Identify operational bottlenecks and inefficiencies within the payment flow and drive projects to automate manual tasks, improve processing speed, and reduce overall operational costs.
• Manage Key Payment Relationships: Assist in managing relationships and operational communications with third-party payment providers, processors, acquiring banks, and payment gateways.
• Reporting and Analysis: Generate detailed operational reports on key metrics such as authorization rates, chargeback volumes, fraud trends, and settlement timing, providing actionable insights to leadership.

Payment Operations Specialist

Engineering Manager

• Lead, manage, and mentor a group of data engineers.
• Own the strategic design, development, and evolution of the Common Event Bus (CEB) architecture.
• Actively manage technical debt and guide the team through migrations from legacy processing frameworks.
• Partner cross-functionally with Data Science, Product, and business stakeholders to translate complex business needs into efficient data models.
• Perform high-impact code reviews, optimize data pipelines, and provide critical guidance on performance and scalability.
• Contribute directly to development work and troubleshooting alongside your team.

Engineering Manager, Data Services

Product Manager

• Own the end-to-end product strategy and roadmap for our Consumer Payments products, aligning cutting-edge AI capabilities with TrueML’s mission to help distressed borrowers.
• Collaborate with our Data Science team to design ML models that intelligently present the right offer at the right time, maximizing conversion while prioritizing consumer wellness.
• Partner with global vendors (e.g., Stripe, Plaid) to eliminate transaction friction, expand payment options, and strategically manage processing costs.
• Lead the development of a robust balance-ledger service and intuitive user interfaces that allow consumers to track history and manage obligations with total confidence.
• Identify and quantify new B2B opportunities, partnering with Sales and Marketing to bring high-impact payment solutions to market with a stellar GTM strategy.
• Establish and monitor the KPIs that matter, using a mix of user research and quantitative analysis to iterate rapidly in an Agile environment.

Senior Product Manager, Consumer Payment Portal

Collections

• Own the Root Cause: Lead the "detective work" required to diagnose performance shifts.
• Drive Decisive Strategy: Design and execute sophisticated A/B and multivariate tests tied directly to recovery.
• Influence the Product Roadmap: Identify technical gaps or logic errors impacting performance.
• Empower Client Success: Arm Client Managers with sharp, defensible recommendations.
• Foster Cross-Functional Accountability: Act as the "source of truth" for the organization.
• Scale Through Frameworks: Build repeatable diagnostic frameworks and Looker dashboards.
• Navigate Without Authority: Influence outcomes across teams where you may not have formal authority.

Senior Strategic Analyst, Collections Performance

• Define and execute the long-term strategic vision for Infrastructure as Code (IaC), CI/CD evolution, and cloud-native architecture to support TrueML’s scaling needs.
• Lead the design and implementation of 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 the primary stakeholder for cloud spend (AWS); drive cost-optimization initiatives and lead contract negotiations for the DevOps toolstack and third-party vendors.
• Ensure the infrastructure architecture supports strict High Availability (HA) requirements and robust Disaster Recovery (DR) protocols, maintaining system integrity across multiple regions.
• Oversee the implementation and evolution of comprehensive monitoring, logging, and distributed tracing systems, leveraging AIOps to move from reactive to predictive system maintenance.
• Champion security by design by integrating automated vulnerability scanning, secret management, and compliance checks directly into the automated build pipelines.
• Serve as the ultimate escalation point for major production outages, facilitating blameless post-mortem reviews that focus on systemic improvements rather than individual error.
• Maintain deep technical currency in container orchestration (Kubernetes), serverless patterns, and modern automation frameworks to provide meaningful mentorship and architectural guidance to senior engineering staff.

Senior Manager, DevOps

QA Engineer

• Design and implement a scalable, maintainable test automation framework.
• Evaluate and integrate emerging technologies, specifically focusing on Agentic AI-powered solutions and GenAI.
• Partner with Development and Product teams to ensure testability is considered at the architectural level.
• Act as a hands-on mentor, conducting 1:1s, leading code reviews for automation scripts, and fostering professional growth.
• From functional and regression to performance and security testing, ensure CI/CD pipelines are robust.
• Analyze test results and system architectures to provide stakeholders with clear quality metrics and actionable data.

Manager, Quality Engineering

• Lead, manage, and mentor a group of data engineers
• Own the design and development of data pipelines and systems
• Advocate for data quality by implementing controls and SLAs
• Partner cross-functionally with Data Science and Product managers
• Perform high-impact code reviews
• Contribute directly to development work and troubleshooting
• Ensure data is reliable and easily accessible for stakeholders