.Net Fullstack Engineer

Job Overview:

We are seeking a skilled software developer to help with the development of projects within the Account Lifecycle Management domain, that span different technologies and requirements. You will be working with a motivated team in a fast-paced environment.

A software developer's day involves attending a morning stand-up meeting, reviewing code, working on complex coding tasks, collaborating with team members, and participating in design and architecture discussions. They also attend meetings like sprint planning and retrospectives, monitor project progress, deploy code, and mentor junior developers. By the end of the day, they review their progress, update documentation, and prepare for the next day's tasks.

Responsibilities:

Work on a team that is responsible for the design, implementation, and development of dynamic account opening and account maintenance applications

Explore and implement AI based solutions to enhance the account opening and client onboarding systems

Provide technical leadership to teammates through technical design and implementation of industry best practices adhering to LPLs modernization practices, cloud practices, SDLC, and release management processes

Develop positive relationships with business partners to understand their needs, manage expectations, deliver value-add solutions and support translation of problem statements into system requirements

Assess opportunities for application and process improvements and show success through KPIs

Full application life-cycle coordination and management of deliverables in alignment with best practices and organizational compliance goals

Collaborate with other shared services teams (technical and non-technical) to ensure solutions and platforms are both functional and sustainable

Use customer and business feedback to inform roadmaps and non-functional goals

Use AI to identify potential bugs and suggest fixes in real-time as you write code

Code Refactoring: Employing AI to suggest and automate code refactoring, improving code quality and maintainability

Documentation Generation: Utilizing AI to generate documentation for code, including comments, function descriptions, and usage examples

Leverage AI to provide intelligent code completions, reducing the time spent on writing repetitive code.

What are we looking for?

Were looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our

clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements:

AI Awareness, Design & Productivity Expectations

We expect engineers and technology leaders to be AI-aware, AI-enabled, and design-conscious, leveraging modern AI and design tools responsibly to improve developer productivity, user experience, code quality, and delivery speed.

Candidates should demonstrate practical, hands-on experience using AI-assisted development and design tools as part of their regular workflow, including but not limited to:

Using AI copilots and coding assistants such as GitHub Copilot, Cursor, Antigravity, or similar tools to accelerate development while maintaining high standards of code quality, security, and maintainability

Applying Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, Deepseek or equivalent to:

Generate, review, and refactor code

Assist with debugging, log analysis, and root-cause investigation

Create and improve unit tests, edge-case coverage, and documentation

Leveraging AI for intelligent code completion, boilerplate generation, refactoring suggestions, and early bug detection, with strong engineering judgment applied to all AI-generated outputs

Utilizing AI-assisted documentation generation to produce clear technical documentation, comments, and usage guides

Demonstrating familiarity with modern design and collaboration tools such as Figma to:

Collaborate effectively with UX/UI designers and product teams

Review, interpret, and translate design specifications into high-quality implementations

Contribute to design discussions with an engineering perspective on feasibility, performance, and accessibility

Understanding and practicing responsible AI usage, including data privacy, security, regulatory compliance, and avoidance of sensitive or proprietary data exposure

Hands-on daily usage of AI and design tools to improve development efficiency and reduce repetitive work

Ability to interpret Figma designs accurately and implement pixel-aware, responsive UIs

Strong judgment in validating and refining AI-generated outputs

Understanding of .NET Core and .NET Framework

Ability to create and consume RESTful services

Experience with Angular or a similar framework

Knowledge of core AWS services such as EC2, S3, RDS, and Lambda

CI/CD using GitHub repositories

Experience with AI-powered tools like Copilot to generate code snippets, boilerplate code, and entire functions based on natural language descriptions

Skills we are looking for:

Overall exp is 5-8 years

.Net, C #, ASP.NET

Angular/ReactJS/Javascript/UI Development

Hands on experience in AI/ML(GitHub/Copilot/Cursor/Antigravity/ChatGPT/Claude/Gemini/Deepseek any one)

Any Cloud exp is mandatory

Core Competencies:

Excellent verbal and written communication skills, both technical and non-technical

Strong problem-solving skills and the ability to debug and resolve issues efficiently

Capable of effectively planning, prioritizing, and executing tasks utilizing resources and tools

Understanding responsive design principles to ensure applications work on various devices