Location: Irving, TX
Employment Type: Full-Time
Job Overview
We are seeking a highly experienced Technical Manager / Architect with strong hands‑on engineering leadership and deep expertise in cloud-native architectures, data-intensive systems, and modern AI-enabled platforms . This role requires end-to-end ownership of solution design and delivery across backend services, data pipelines, and user interface layers, with a strong focus on Financial Crimes, risk analytics, and regulatory compliance domains .
The ideal candidate will combine architectural depth with hands‑on engineering capability, driving scalable, secure, and high-performance systems using Java, Python, Spark, GCP, and modern GenAI frameworks .
Key Responsibilities
Technical & Hands-On Leadership
- Act as a hands-on Technical Manager , actively contributing to system design, development, code reviews, and architectural decision-making across backend, data, and UI layers.
- Lead end-to-end solution delivery from requirements gathering, design, development, testing, deployment, and production support .
- Design and oversee cloud-native microservices architectures using Java and Python , integrated with large-scale data processing frameworks such as Apache Spark and GCP data services .
Engineering Excellence & Metrics
- Define and enforce engineering quality standards and metrics , including code quality, test coverage, performance SLAs, scalability, reliability, and security benchmarks.
- Drive adoption of CI/CD pipelines, DevSecOps practices, automated testing frameworks, and observability tools for high-quality and predictable releases.
- Ensure compliance with enterprise architecture standards, data governance policies, and regulatory requirements , particularly for Financial Crimes systems.
Data, GenAI & Analytics Platforms
- Lead the design and implementation of enterprise data platforms and operating models supporting Financial Crimes analytics, investigations, risk scoring, and regulatory reporting.
- Architect and integrate GenAI solutions (LLMs, RAG architectures, and model orchestration frameworks) into enterprise data ecosystems to enhance detection and investigation capabilities.
- Oversee development of large-scale batch and streaming data pipelines using Spark, Python, and GCP-native services to process high-volume transactional and operational data.
UI & Experience Layer
- Guide the development of modern ReactJS-based front-end applications for investigator workflows, dashboards, and operational monitoring tools.
- Ensure seamless end-to-end integration between UI, APIs, microservices, and data/analytics layers with strong focus on performance and usability.
Stakeholder & Team Leadership
- Serve as the primary technical interface between business stakeholders, product owners, compliance teams, and engineering groups .
- Mentor and develop senior engineers, fostering a culture of ownership, accountability, and continuous improvement .
- Support Agile delivery planning , including estimation, risk management, dependency tracking, and release governance.
Core Competencies
- Hands-on Technical Leadership across full-stack systems
- End-to-End Solution Ownership and Delivery Accountability
- Engineering Metrics, Quality Governance, and DevSecOps Practices
- GenAI / LLM Integration and Advanced Analytics Enablement
- Cloud-Native Architecture (GCP-focused) and Data Engineering at Scale
- Financial Crimes / Risk / Compliance Domain Understanding