Deloitte Technology Product Engineering Fullstack Software Engineer Vision360
Deloitte10 months ago
Honolulu, HI, United States
Hybrid
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
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 drive tangible value for Deloitte’s business investments. You will collaborate with cross‐functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on 9/22/25. US Deloitte Technology Product Engineering modernizes software and product delivery, creating innovative digital solutions for many of the world’s largest, respected companies.
Key Responsibilities
- Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes by developing high-quality, lean engineering solutions.
- Technical Leadership and Advocacy: Act as the technical advocate for products, ensuring code integrity and alignment with business and customer goals; lead requirement analysis, design, development, testing, integrations, and support.
- Engineering Craftsmanship: Maintain responsibility for code design, quality, and ongoing operations by writing supportable, scalable code and continuously learning new approaches and frameworks.
- Customer-Centric Engineering: Develop lean solutions through rapid experimentation and engage with customers and product teams to ensure timely, effective delivery.
- Incremental and Iterative Delivery: Favor action and evidence over extensive planning to deliver supportable and maintainable solutions.
- Cross-Functional Collaboration: Work with diverse teams—including product management, experience, and delivery—to integrate perspectives and drive well-informed decisions.
- Advanced Technical Proficiency: Utilize modern software engineering practices, Agile methodologies, and DevSecOps for full automation of product deployments and continuous improvement.
- Domain Expertise: Quickly acquire domain-specific knowledge and translate business and UX/UI requirements into technical specifications and code.
- Effective Communication and Influence: Articulate complex technical concepts clearly, inspiring and influencing teammates and stakeholders with well-structured arguments.
- Engagement and Collaborative Co-Creation: Build constructive relationships with cross-level teams and customers to foster a culture of shared momentum and co-creation.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or a related discipline.
- 5+ years of proven experience with technologies such as Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, and SQL/NoSQL.
- 5+ years of experience with cloud-native engineering using FaaS/PaaS/micro-services on platforms like Azure, AWS, and GCP, including hands-on experience with AWS technologies (Glue pipeline, Step Functions, EMR, Lambda, Neptune, Snowflake, Redshift, Aurora, Iceberg, SQS/SNS, Athena, OpenSearch, PySpark, AppSync, SageMaker, and Bedrock).
- Limited immigration sponsorship may be available.
- Ability to travel 0-10% based on project and client needs.
Preferred Qualifications
- An advanced degree (e.g., MS) in Computer Science, Software Engineering, or a related discipline.
- Solid foundation in software engineering principles including OOP, data structures, algorithms, and clean coding practices.
- Experience with AI/ML and Generative AI (GenAI), including work with large language models (LLMs) such as OpenAI, Anthropic, Claude, or Gemini.
- Familiarity with methodologies and tools like XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, and SonarQube to rapidly deliver high-quality products.
Benefits & Perks
- Compensation Range: $97,600 to $200,600
- Annual Incentive Program: Eligible to participate in a discretionary annual incentive program based on individual and organizational performance.
Required Skills
.NET Core
AI/ML
Angular
Agile Methodologies
AWS
Cloud-Native Engineering
NoSQL
SQL
Java
Golang
NodeJS
React
Generative AI
C#
Python
DevSecOps