Product Engineering Architect

About the position

As a Product Architect, you will actively engage in your software architecture 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 craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.

Responsibilities

• Embrace and drive a culture of accountability for customer and business outcomes.
• Develop engineering solutions that solve complex problems with valuable outcomes.
• Ensure architectural integrity, feasibility, and alignment with business and customer goals.
• Possess passion and experience as an individual contributor, responsible for engineering designs.
• Develop lean engineering solutions through rapid, inexpensive experimentation.
• Exhibit a mindset that favors action and evidence over extensive planning.
• Work collaboratively with empowered, cross-functional teams.
• Possess deep expertise in modern software engineering practices and principles.
• Quickly acquire domain-specific knowledge relevant to the business or product.
• Exhibit exceptional communication skills, capable of articulating complex technical concepts.
• Engage and collaborate with stakeholders at all organizational levels.

Requirements

• A bachelor's degree in computer science, software engineering, or a related discipline.
• 6+ years of experience with multiple programming languages such as Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL.
• 5+ years of experience in designing and architecting enterprise solutions.
• 5+ years of hands-on experience with cloud-native engineering using FaaS, PaaS, and micro-services on cloud hyperscalers such as Azure, AWS, or GCP.
• 3+ years of experience with AI/ML and GenAI, specifically working with large language models.
• Prior experience with AWS technologies including Glue pipelines, Step Functions, EMR, Lambda, Neptune, Redshift, Aurora, SQS/SNS, Athena, OpenSearch, AppSync, SageMaker, and Bedrock.
• Prior software engineering experience with understanding of Business Context Diagrams, OOP/OOD, data structures, algorithms, and code instrumentations.
• Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube.
• Ability to travel 10%, on average, based on the work you do and products you build.

Benefits

• Broad range of benefits including health insurance, professional development opportunities, and a culture of inclusivity.