Software Engineer III- Full Stack Developer

Deloitte • Jersey City, NJ

5d • $122,000 - $240,500

About The Position

Deloitte is hiring a Software Engineer III for its AI & Engineering / Software as a Service organization. The role contributes to technology transformation and client solutions through engineering capabilities across software, data, AI, networks, and hybrid cloud infrastructure. Engineering as a Service provides design, implementation, and technology operations through flexible delivery models tailored to client needs.

The successful candidate is a hands-on technical leader who designs, builds, and ships scalable software systems while mentoring engineers and promoting technical best practices. The position architects full-stack and agentic AI solutions, guides distributed engineering teams, and works with product managers, designers, and other stakeholders to deliver solutions. The role may require travel up to 50%, depending on the work, clients, and industries served. Recruiting for this role ends on 12/01/26.

Requirements

• At least 5 years of relevant consulting or industry experience in a hands-on development role, working across borders as an integral team member.
• At least 5 years of full-stack software development experience, including proficiency in at least one back-end language (Python, Java, .NET/C#, Go, or Node.js) and a modern front-end framework.
• At least 4 years of experience building microservices and scalable APIs in a distributed enterprise environment.
• Solid knowledge of relational and/or NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or DynamoDB.
• Experience with AWS, GCP, or Azure and containerized environments such as Docker and Kubernetes.
• Strong problem-solving skills and ability to debug and optimize complex systems.
• A track record managing or technically leading delivery teams, including communication cadences and quality assurance across time zones.
• Experience delivering software using multiple SDLC methodologies, such as Agile, SAFe, Kanban, or waterfall-agile hybrid.
• 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, clients, and industries or sectors served.

Nice To Haves

• Experience with event-driven architectures and messaging systems such as Kafka, RabbitMQ, or SQS.
• Open-source project contributions or a demonstrated personal portfolio.
• Experience with machine learning pipelines or data engineering workflows.
• Professional experience designing and delivering solutions incorporating large language models (LLMs) and/or agentic AI architectures.
• Knowledge of security best practices, including OWASP guidelines and secure coding standards.
• Prior experience as a tech lead or staff engineer.
• Industry-recognized technology certifications.

Responsibilities

• Architect, design, and implement scalable, reliable, and maintainable full-stack software systems and services.
• Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure, including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
• Lead end-to-end delivery of complex features, from requirements gathering through deployment and monitoring.
• Architect and deliver production-grade agentic AI and multi-agent applications using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel, with patterns including orchestrator-agent hierarchies, RAG pipelines, tool-calling agents, and context or memory management.
• Conduct code reviews, enforce coding standards, and promote engineering best practices.
• Mentor and guide junior and mid-level engineers, supporting continuous learning and improvement.
• Collaborate with Product, Design, DevOps, and QA teams to deliver high-quality software.
• Identify technical debt and lead refactoring and improvement initiatives.
• Participate in system design discussions, architecture reviews, and technical planning.
• Troubleshoot and resolve complex production performance, scalability, and reliability issues.
• Contribute to hiring through technical interviews and assessments.

Benefits

• Potential eligibility to participate in a discretionary annual incentive program, subject to program rules and performance factors.
• Deloitte offers employees a broad range of benefits.
• Opportunities for professional development, including on-the-job learning, formal development programs, leadership opportunities, mentorship, and skill-building.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level