Jobs at Matrix Global Services

Principal Engineer serving as the CTO’s technical deputy, leading day-to-day engineering execution, architecture, code reviews, developer support, and delivery. The role requires hands-on full-stack development across databases, backend, frontend, cloud infrastructure, and DevOps. It also champions AI-agent-assisted development by establishing workflows, guardrails, and quality standards. The engineer will mentor teammates, resolve technical blockers, improve reliability and documentation, and collaborate with technical, product, and research stakeholders.

Supports AML transaction monitoring, sanctions screening, historical lookbacks, Actimize rule tuning, model validation, data-source onboarding, and vendor-feed integrations. Translates regulatory and business requirements into functional specifications, acceptance criteria, and test plans. Leads SIT, UAT, regression testing, defect management, data validation, reconciliation, and business sign-off while coordinating with compliance, technology, data, vendors, and validation teams.

Designs, develops, optimizes, and supports enterprise ETL pipelines using SSIS and SQL Server. Responsibilities include T-SQL development, query performance tuning, data validation, security, error handling, monitoring, troubleshooting, root-cause analysis, and production support. The role also applies Medallion Architecture, Git-based development, automated testing, database CI/CD, and AI-assisted development practices while collaborating with business and technical stakeholders.

Develop and maintain scalable production data pipelines, machine learning data pipelines, and data flows supporting financial crime detection solutions. Build tools for data science and analytics teams, optimize large-scale datasets, perform data transformation and validation, and collaborate with product, R&D, and customer teams. The role also involves training customers, managing technical relationships, and traveling domestically and internationally when required.

Build and lead a scalable platform engineering function spanning CI/CD, infrastructure, observability, developer tooling, environments, and production operations. Develop internal tools, reusable automation, paved roads, and AI-assisted workflows that improve developer experience, delivery reliability, and engineering productivity. Partner across teams, guide architecture and standards, measure DORA and DX metrics, and shape the platform roadmap while providing hands-on technical leadership.

Leads adoption of AI-assisted engineering practices across product teams. Builds reusable prompts, agent workflows, integrations, validation systems, sandboxes, and AI-enabled developer tooling. Partners with platform and engineering teams to integrate AI into CI/CD, testing, observability, release processes, and product capabilities. Coaches engineers, establishes governance and security controls, and measures productivity, quality, delivery, adoption, and cost outcomes.

Acquire new B2B and enterprise customers across the DACH region, build sales pipelines, engage decision-makers, conduct discovery conversations, qualify opportunities, and manage sales processes through contract closure. The role requires solution, value, or consultative selling and close collaboration with presales, consulting, marketing, and solution experts. Fluency in German and English and willingness to travel within DACH are required.

Perform functional, end-to-end, API, ETL, and data validation testing for NICE Actimize AML and transaction monitoring solutions. Validate UDM onboarding, source-to-target mappings, data transformations, reconciliations, and integrations using advanced SQL. Document and retest defects, investigate data quality issues, support root-cause analysis, and ensure coverage of financial crime workflows. Contribute to automation using Selenium or Playwright.

Develop and support scalable Java applications, REST APIs, microservices, and cloud-native solutions on Microsoft Azure. Build containerized workloads with Docker and AKS, automate infrastructure using Terraform, and integrate distributed systems with Kafka and MQ. Work with Azure Data Lake Storage, troubleshoot application and cloud issues, participate in architecture and design reviews, and collaborate across engineering teams. The role may also include mentoring junior engineers and contributing to DevOps, security, performance, and continuous improvement initiatives.

Lead the architecture, design, and hands-on development of enterprise-scale cloud-native applications, data platforms, distributed systems, microservices, and event-driven solutions. Define technical strategy, establish engineering standards, conduct architecture reviews, and guide multiple engineering teams. Build solutions using Java, Scala, Azure, ADLS, Databricks, Kafka, and messaging platforms while mentoring engineers and driving DevOps, CI/CD, scalability, security, and operational excellence.

Conducts quality-control reviews of end-to-end AML investigations involving money laundering, sanctions, fraud, terrorist financing, bribery, and related risks. Reviews evidence, narratives, dispositions, and SAR recommendations; identifies investigative gaps and recurring quality issues; analyzes transactional and behavioral data; provides feedback; and supports improvements to AML procedures, controls, and regulatory compliance.

Develop machine learning and analytics solutions using large-scale datasets. Responsibilities include feature engineering, predictive modeling, workflow optimization, customer implementations, production deployments, stakeholder collaboration, technical training, and resolving data-related challenges. The role requires Python, PySpark, machine learning pipelines, MLflow or Airflow, statistical modeling, and strong communication skills, with preferred experience in fraud detection, risk analytics, compliance, cloud environments, and model monitoring.

Leads the development and execution of a global B2B marketing function focused on demand generation, pipeline growth, digital marketing, content, social media, partnerships, and brand awareness. Owns campaigns, ABM initiatives, marketing performance, budgets, reporting, and KPIs while collaborating with sales, product, customer success, and executives. This hands-on leader builds scalable programs, strategic alliances, and thought leadership initiatives that generate measurable revenue and market impact.

Deploys, customizes, integrates, and supports fraud risk scoring systems for financial institution clients. Responsibilities include software development, production deployment, troubleshooting, monitoring, system upgrades, Agile participation, and client-facing technical collaboration across cloud and on-premise environments.

Validate and optimize AML transaction monitoring and financial crime models. Responsibilities include threshold tuning, model performance assessment, data quality analysis, validation documentation, regulatory compliance, risk evaluation, and stakeholder reporting. The role collaborates with compliance, technology, data science, and business teams to improve detection effectiveness, reduce false positives, strengthen model governance, and support new monitoring scenarios.

Build and maintain scalable production data pipelines, machine learning data pipelines, and data transformation frameworks for financial crime detection solutions. Collaborate with product, R&D, data, analytics, customers, and partners; optimize large-scale data architectures; support feature engineering and root cause analysis; and train customer teams. The role requires customer-facing collaboration, English and Spanish fluency, and domestic and international travel when needed.

Develop and maintain enterprise BI solutions, dashboards, reports, data models, and ETL processes. Translate business requirements into scalable analytics solutions, define KPIs, analyze complex datasets, ensure data quality and governance, optimize performance, resolve reporting issues, establish BI standards, and mentor junior developers while partnering with technical and business stakeholders.

Leads commercial growth across business development, strategic partnerships, pricing, packaging, AI commercialization, and go-to-market strategy. Builds market-ready offerings, enables Sales, develops partnerships and new revenue channels, and identifies expansion opportunities across the U.S. multifamily and property management ecosystem. Owns pricing and commercial decisions, evaluates business cases, negotiates partnerships, and aligns Product, Sales, Growth, and executive leadership to drive revenue, adoption, deal size, and upsell performance.

Own the strategy, roadmap, and execution of payment products across cards, ACH, MoneyGram, lockbox, recurring, autopay, and online payments. Lead integrations with processors, banks, gateways, and fintech partners while improving acceptance, settlement, reconciliation, refunds, disputes, reliability, and customer experience. Translate payment and technical requirements into product documentation, guide Agile delivery, analyze transaction data, and coordinate cross-functional teams across Engineering, Finance, Operations, Compliance, and external partners.

Owns the strategy, roadmap, governance, and business outcomes for an enterprise fraud platform. The role prioritizes fraud controls, detection models, platform enhancements, and operational processes while ensuring regulatory compliance, resilience, and customer experience. Responsibilities include backlog and release management, UAT and operational readiness, stakeholder and vendor leadership, incident prioritization, platform performance optimization, and collaboration across Fraud Operations, Payments, Technology, Risk, and Compliance.