Software Engineer II- Full-stack Developer

Deloitte•Tampa, FL

143d•$95,600 - $188,400•Onsite

About The Position

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Requirements

4–6 years of professional software engineering experience with a focus on full-stack development.
3+ years of full system lifecycle development experience, from requirements through production deployment.
3+ years of hands-on full-stack experience with proficiency in at least one back-end language (Python, Java, .NET, Go, or Node.js) and a modern front-end framework (React, Angular, or Vue.js).
2+ years in a client-facing development role, or a demonstrated ability to engage professionally with external stakeholders.
2+ years building and consuming RESTful APIs and/or GraphQL services in a professional, team-based delivery environment.
Solid understanding of software engineering fundamentals including data structures, algorithms, and OOP principles.
Familiarity with relational or NoSQL databases and comfort writing efficient queries.
Working knowledge of version control systems (Git) and collaborative development workflows.
Understanding of testing practices and experience writing automated test suites.
Strong verbal and written communication skills with the ability to work effectively in a team environment.
Working knowledge of at least one major cloud platform (AWS, Azure, or GCP), including deployment, managed services, and basic infrastructure configuration.
Hands-on experience integrating at least one LLM platform or generative AI API (OpenAI, Azure OpenAI, Anthropic, Google Vertex AI, or equivalent).
Bachelor’s degree in computer science, Engineering, or a related discipline — or equivalent professional experience.
Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available

Nice To Haves

Experience with containerization and orchestration tools such as Docker and Kubernetes.
Familiarity with CI/CD pipelines and DevOps practices.
Experience working in an Agile/Scrum environment using tools like Jira or Linear.
Contributions to open-source projects or a personal portfolio demonstrating technical initiative.
Interest in mentoring others and taking on increased technical responsibility over time.
Industry-recognized cloud certifications (AWS Certified Developer, Azure Developer Associate, GCP Professional Developer, or equivalent).

Responsibilities

Design, build, test, and maintain scalable full-stack features across front-end and back-end systems, following project engineering standards and conventions.
Write clean, well-documented, and maintainable code; participate in code reviews and contribute constructive technical feedback to peers.
Develop and maintain back-end microservices and scalable APIs; implement CI/CD pipelines, containerized workloads, and infrastructure-as-code as part of client engagements.
Integrate LLM APIs (OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI) to build intelligent, context-aware features within client applications.
Implement agentic AI patterns — tool-calling agents, RAG pipelines, prompt chaining, and memory management — within full-stack applications under senior engineer guidance.
Collaborate on prototyping and iterating AI-powered workflows and automation solutions, contributing to the practice's growing AI delivery capability.
Participate actively in code reviews, providing and incorporating constructive feedback.
Collaborate with product managers, designers, and fellow engineers to translate requirements into technical solutions.
Identify, diagnose, and resolve bugs and performance issues in development and production environments.
Assist in breaking down technical requirements into well-scoped tasks and estimates.
Support junior engineers through pairing, knowledge sharing, and informal mentorship.
Write and maintain unit, integration, and end-to-end tests to ensure software reliability.
Participate in on-call rotations and contribute to incident response and post-mortems.