Full Stack Engineer

About This Role

As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions.

Responsibilities

• Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
• Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support.
• Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations.
• Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
• Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
• Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
• Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle.
• Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code.
• Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
• Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.

Requirements

• A bachelor's degree in computer science, software engineering, or a related discipline
• 5+ years proven experience with Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL
• 5+ years of experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP

Qualifications

• A bachelor's degree in computer science, software engineering, or a related discipline
• 5+ years proven experience with most of the following: Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. 5+ years of experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

Nice to Have

• An advanced degree (e.g., MS)
• Prior experience with real estate, meeting and events, hospitality, etc. platforms and applications
• Prior experience with software engineering foundation with the understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices, etc.
• Prior experience with methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.
• Prior experience in AI/ML and GenAI
• Prior experience handling diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care

Skills

* Required skills