Dot Net & Salesforce Technology Manager (R-19899)

About the role

Responsibilities

• Lead cross-functional engineering teams responsible for application development, support, cloud modernization, digital transformation initiatives
• Own the end-to-end delivery and operational stability of enterprise platforms, including Salesforce and other custome-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 system
• 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

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