Manager Engineering (R-19815)

Key Responsibilities:

Lead cross-functional engineering teams responsible for application development, support, cloud modernization, and digital transformation initiatives

Own the end-to-end delivery and operational stability of enterprise platforms, including Salesforce and other customer- facing and back-office applications

Partner with business stakeholders, Product Owners, Sales, Operations, and Technology teams to define product roadmaps and prioritize investments

Drive application modernization, cloud adoption, automation, DevOps, and AI-enabled engineering practices

Provide architectural leadership for scalable, secure, and resilient systems

Manage production support, incident response, SLA compliance, performance optimization, and continuous improvement initiatives

Build, mentor, and develop high-performing engineering teams while creating succession and capability-building plans

Lead vendor management, budget planning, resource allocation, and cost optimization efforts

Ensure compliance with security, risk, audit, and regulatory requirements

Champion a strong product mindset by focusing on customer value, business outcomes, user experience, innovation, and data-driven decision-making

Key Requirements:

12+ years of software engineering experience, including 5+ years in engineering leadership roles managing enterprise-scale application development teams

Strong expertise in Salesforce ecosystem (Sales Cloud, Service Cloud, Revenue Cloud/CPQ), CRM transformation, integrations, and data migration initiatives

Extensive experience in Financial Services, FinTech, Banking, Payments, Credit & Risk, or Data Services domains with a strong understanding of business processes

Proven capability to design and deliver cloud-native, scalable solutions leveraging AWS, serverless architectures, APIs, microservices, and application modernization practices

Hands-on experience with .NET/C#, REST APIs, event-driven architectures, SQL Server, enterprise data platforms, ETL, and master data management

Strong product mindset with the ability to translate business challenges into technology solutions, prioritize effectively, and drive measurable customer and business outcomes

Expertise in DevOps and engineering excellence, including CI/CD pipelines, GitHub, QA automation, Infrastructure as Code, monitoring, observability, and Agile/SCRUM methodologies

Good understanding of secure software development, compliance, identity and access management, AI-assisted development, Generative AI, and intelligent process automation, complemented by excellent stakeholder management and leadership skills