Engineering Foundry - Software Engineering - Full-stack Developer - Senior Consultant

Join our AI & Engineering team transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

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.

Recruiting for this role ends on 6/1/2026.

Work You'll Do

You are a hands-on technical full-stack software developer who designs, builds and ships scalable software systems while mentoring junior engineers and driving technical best practices across the organization. You will architect full-stack and agentic AI solutions, guide distributed engineering teams, and engage with product managers, designers, and stakeholders to deliver high-impact solutions.

Key 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 (AWS, Azure, or GCP), 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 popular frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel; design patterns including orchestrator-agent hierarchies, RAG pipelines, tool-calling agents, and context/memory management.
• Conduct thorough code reviews, enforce coding standards, and champion engineering best practices.
• Mentor and guide junior and mid-level engineers, fostering a culture of continuous learning and improvement.
• Collaborate with cross-functional teams including Product, Design, DevOps, and QA to deliver high-quality software.
• Identify technical debt and proactively drive refactoring and improvement initiatives.
• Participate in system design discussions, architecture reviews, and technical planning sessions.
• Troubleshoot and resolve complex performance, scalability, and reliability issues in production systems.
• Contribute to hiring processes including technical interviews and assessments.

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

• Limited immigration sponsorship may be available.

• Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, SQS).
• Contributions to open-source projects or a demonstrated personal portfolio.
• Experience with machine learning pipelines or data engineering workflows.
• Demonstrated experience designing and delivering solutions that incorporate Large Language Models (LLMs) and/or agentic AI architectures in a professional setting.
• Knowledge of security best practices, including OWASP guidelines and secure coding standards.
• Prior experience in a tech lead or staff engineer capacity.
• Industry-recognized technology certifications.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $107,600 to $198,400. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.