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We are seeking a versatile and results-driven Principal Delivery and Management Engineer to join our team in building secure, scalable, and compliant enterprise applications. This role will be instrumental in developing solutions that support Anti-Money Laundering (AML) initiatives, governance risk and compliance (GRC), and cloud-native architectures. You will work across a diverse technology stack, contributing to both new application development and modernization of existing systems. You will serve as a liaison between business stakeholders and technical teams, manage resource planning, and oversee a team of Archer solution managers. In addition, you will contribute with solution design and configuration to maintain platform integrity and deliver robust, scalable risk management solutions that simplify and automate business processes and risk management activities.
Job Responsibility:
Provide guidance on solution architecture, platform configuration, and integration strategies
perform configuration tasks, including workflow design, reporting, dashboards, and data feeds
Act as the primary bridge between business owner and technical teams
Lead discovery sessions with business partners to gather requirements
Manage budgets, timelines and resources
establish governance processes and track KPIs
Provide clear and timely initiative status updates to business owners and senior stakeholders
Oversee design, development, testing, and deployment of Archer applications
coordinate user acceptance testing
Design and implement RESTful APIs and microservices
Identify technical and program risks, implement mitigation strategies
Drive innovation, process optimization, AI/ML enablement and adoption of best practices
Build and deploy scalable applications on AWS and Azure
Develop and integrate software solutions for AML/KYC, and regulatory compliance workflows
Customize and extend Archer GRC software integrations
Create and maintain CI/CD pipelines using Jenkins
Use Bitbucket for version control, code reviews, and branching strategies
Contribute to the development of reusable components, shared services, and internal developer platforms
Ensure applications meet enterprise standards for security, performance, and scalability
Work closely with product managers, architects, and QA engineers
Participate in refactoring and replatforming efforts to modernize legacy systems
Stay current with emerging technologies and industry trends
Configure solutions with custom requirements
Support, troubleshoot, and maintain solutions
Work directly with end users and act as a liaison between technical and business teams
Monitor and support production environments
Apply analytical thinking to resolve issues and improve system performance
Manage multiple priorities and deadlines effectively
Work with business users and stakeholders to understand business functions and processes
Requirements:
Bachelor’s degree in Computer Science, Engineering, or related field
Strong understanding of Archer GRC platform capabilities (workflow, reporting, dashboards, data feeds) and ability to guide technical teams
hands-on configuration experience required
Solid understanding of governance, risk management, and compliance principles
7+ years of experience in software development, preferably in financial services or regulated industries
Proficiency in backend programming languages such as Python, C#
Experience with AWS and/or Azure cloud services
Familiarity with AML/KYC or compliance systems or experience with Archer GRC
Experience with Bitbucket or similar Git-based version control systems
Experience with SQL for data manipulation and reporting
Solid understanding of software security principles and secure coding practices
Nice to have:
Experience working in Agile/Scrum environments
Familiarity with enterprise integration patterns and messaging systems
Certifications or experience working in AWS, Azure cloud-based environments
Experience with containerization and orchestration tools (Docker, Kubernetes)
Knowledge of data engineering or analytics tools used in fraud detection (e.g., Kafka, Elasticsearch)