.NET Development Tech Lead

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced .Net Development Tech Lead, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you’ll do/Responsibilities  

Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Transition support for our client in, Corporate Treasury, Tax, and Core applications from incumbent provider ITWorx to ensure uninterrupted operations, effective knowledge transfer, and optimized support processes for critical financial systems

• Support, troubleshoot, and enhance .NET-based Treasury, Tax, and Core applications to ensure optimal performance and reliability
• Administer, monitor, and optimize SQL Server databases, including data integrity, backups, and performance tuning
• Respond to and resolve application and database issues, collaborating with business users and offshore teams as needed
• Manage and execute deployment pipelines, automate build and release processes, and ensure smooth application updates using DevOps tools and best practices
• Coordinate and implement application changes, patches, and upgrades in alignment with release schedules and compliance requirements
• Maintain technical documentation, deployment guides, and support materials; facilitate knowledge transfer sessions with stakeholders
• Liaise with Treasury, Tax, and Finance teams to gather requirements, provide status updates, and address support needs

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required

• Minimum 8 years of hands-on experience designing and developing .Net Applications
• Minimum 8 years of hands-on experience in SQL Server Administration and Query
• Minimum 8 years of hands-on experience with API Support & Development
• Minimum of 5 years expertise in DevOps experience
• Minimum of 5 years hands-on experience providing technical guidance and mentorship to development teams, leading agile ceremonies, collaborating with product owners, and driving continuous improvement in code quality and delivery practices.
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• No sponsorship available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

• Analytical/ Decision Making Responsibilities
• Analytical ability to manage multiple projects and prioritize tasks into manageable work products
• Can operate independently or with minimu