Deloitte is looking to solve complex business problems by delivering high-quality, outcome-focused software solutions that drive tangible value for their business investments and delight customers and users.
Requirements
- 6+ years of experience with multiple programming languages such as Angular, React, NodeJS, Python, Streamlit, C, .NET Core, Golang, SQL/NoSQL, as well as unit testing frameworks.
- 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 (mandatory), or GCP.
- 3+ years of experience with AI/ML and GenAI, specifically working with large language models (LLMs) such as OpenAI, Anthropic, Claude, and Gemini, including practical engineering of AI/ML-driven applications and solutions leveraging Generative AI.
- Prior experience with AWS technologies—including Glue pipelines, Step Functions, EMR, Lambda, Neptune, Redshift, Aurora, SQS/SNS, Athena, OpenSearch, AppSync, SageMaker, and Bedrock—as well as with Snowflake and Apache Iceberg table formats in cloud-based data architectures.
- Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations.
- Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly.
Responsibilities
- Outcome-Driven Accountability: 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.
- Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards—being responsible for product architecture blueprints, high-level architecture designs (e.g., “4+1 model” or relevant others), and integration architecture into the technical landscape and technology stack.
- Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design, configuration and code part of the time, contributing to team velocity.
- Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the product in the right way at the right time.
- Incremental and Iterative Delivery: Exhibit 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.
- Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value.
- Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including OOD/OOP, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches.
Other
- A bachelor’s degree in computer science, software engineering, or a related discipline.
- Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Experience is the most relevant factor.
