Work You’ll Do
You are a hands-on technical leader 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.
You will be an experienced Data Engineer who is comfortable on both sides – reads mainframe file layouts, DB2 schemas and builds Python/SQL loads and reconciliations on the modern side.
A successful candidate would possess these skills
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
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.
Qualifications
7+ years of Data Migration experience working specifically on commercial legacy modernization projects.
7+ years’ experience with COBOL Copybooks and File Layouts.
7+ years’ hands-on expert level with IBM DB2/VSAM.
SQL – expert level skills
5+ years’ hands on Python Data Engineering
5+ years’ hands-on experience with ETL tools.
AWS certifications
Strong experience in Java and Spring-based application development.
Experience with microservices, APIs, messaging, and event-driven architectures.
Working knowledge of AWS and/or GCP cloud services.
Experience with Docker, Kubernetes, Terraform, and CI/CD tooling.
Experience with SQL and NoSQL data stores.
Strong communication, collaboration, and problem-solving skills. Demonstrated ability to work independently in a player-coach or technical lead capacity.
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
In addition, successful Software Engineer IIIs will have the following preferred background:
Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, SQS)
Financial services industry vertical experience -banking, insurance.
Contributions to open-source projects or a demonstrated personal portfolio.
Experience with observability, security, and quality code tools.
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.
Wages + Salary
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 $122,000 to $240,500
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.
