Jobs in the United States

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Mainframe Application Modernization Architect

Deloitte US · Atlanta, GA, United States · Austin, TX, United States · Boston, MA, United States · Charlotte, NC, United States · Chicago, IL, United States · Cincinnati, OH, United States · Cleveland, OH, United States · Columbus, OH, United States · Costa Mesa, CA, United States · Dallas, TX, United States · Denver, CO, United States · Detroit, MI, United States · Hartford, CT, United States · Houston, TX, United States · Indianapolis, IN, United States · Kansas City, MO, United States · Las Vegas, NV, United States · Los Angeles, CA, United States · McLean, VA, United States · Miami, FL, United States · Minneapolis, MN, United States · Morristown, NJ, United States · Nashville, TN, United States · NY, United States · Philadelphia, PA, United States · Pittsburgh, PA, United States · Raleigh, NC, United States · Richmond, VA, United States · Sacramento, CA, United States · San Diego, CA, United States · San Francisco, CA, United States · San Jose, CA, United States · Seattle, WA, United States · St. Louis, MO, United States · Stamford, CT, United States · Tampa, FL, United States · Tempe, AZ, United States

Apply on apply.deloitte.com About employer

Deloitte US

Mainframe Application Modernization Architect

Atlanta, GA, United States
Austin, TX, United States
Boston, MA, United States
Charlotte, NC, United States
Chicago, IL, United States
Cincinnati, OH, United States
Cleveland, OH, United States
Columbus, OH, United States
Costa Mesa, CA, United States
Dallas, TX, United States
Denver, CO, United States
Detroit, MI, United States
Hartford, CT, United States
Houston, TX, United States
Indianapolis, IN, United States
Kansas City, MO, United States
Las Vegas, NV, United States
Los Angeles, CA, United States
McLean, VA, United States
Miami, FL, United States
Minneapolis, MN, United States
Morristown, NJ, United States
Nashville, TN, United States
NY, United States
Philadelphia, PA, United States
Pittsburgh, PA, United States
Raleigh, NC, United States
Richmond, VA, United States
Sacramento, CA, United States
San Diego, CA, United States
San Francisco, CA, United States
San Jose, CA, United States
Seattle, WA, United States
St. Louis, MO, United States
Stamford, CT, United States
Tampa, FL, United States
Tempe, AZ, United States

Apply on apply.deloitte.com About employer

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Job details

Apply by: Jan 31, 2027
Posting language: English
Posted: Nov 11, 2026

Original job description

Mainframe Application Modernization Lead Software Engineer and Architect – AI & Engineering/EaaS Lead Software Engineer II Join our AI & Engineering team in 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 businesses. 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 1/31/2027. Work You'll Do You will bring considerable technical, functional and leadership experience as part of our Software Engineering team. You’ll be responsible for leading teams who support the design, development and deployment of large-scale complex software solutions at an enterprise level. Your team will support various applications and the complex programs surrounding these applications including internal consultants, near-shore and off-shore technologists and multiple vendor relationships. You’ll work across geographies, with accountability for the success, effectiveness and delivery of multiple work streams. In addition, you’ll do the following:

Lead and drive discussions to come up with technical architecture and design, working with the team to shape requirements, develop technical design solutions, resolve ambiguities, focus on deliverables, meeting deadlines, quality metrics, etc.
Work hands-on on a regular basis – in the role of a senior developer and/or architect
Manage day-to-day project execution working with your established teams.
Establish technical design/development guidelines, templates and standards.
Interact regularly with other stakeholders not limited to end-user clients, project management teams, development teams, offshore development teams, testing and other cross-functional teams.
Develop and maintain contact with top decision makers at key internal clients, organize and participate in and lead aspects of the development process and contribute to the development of key technology strategies.

Work you’ll do:

Architect and Design: assist in the design and development of enterprise-grade application architecture applications and platforms, with a focus on scaling for production in a legacy modernization environment. This includes defining the technical architecture, selecting appropriate technologies, and ensuring solutions are robust, scalable, and secure.
Support modernization efforts across clients’ services capabilities working with a highly matrixed collaborative environment, working as a valued member of a cohesive architecture and development team.
Assist in the design and deployment of applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services, including containers (Docker, Kubernetes), serverless functions, and managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle.
Assist in the management and delivery components of client engagements that identify, design, and implement technology and creative business solutions for large companies.
Responsibilities include, among others, managing small teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures.
Review and evaluation of key attributes of existing application modernization architectures
Assist in the recommendation of improvements to existing Application Architectures

Required Skills and Qualifications

Bachelor's degree in computer science or engineering, or a related technical field with a strong foundation in development (Java or .NET) with early experience as a full stack developer.
Strong experience with AWS – background should include a combination of skills around legacy stacks AND modern technology stacks.
5+ years’ hands-on experience with COBOL
5+ years’ hands-on experience – JCL & Batch Processing
7+ years’ hands-on experience working on full-life-cycle mainframe application modernization projects in the commercial sector.
5+ years’ hands-on experience working with IBM DB2 for z/OS.
6+ years’ experience as an Application Architect, with a strong focus on application development and scaling solutions for production environments.
6+ years of experience with on-prem to AWS Cloud migration/integration which should include migration patterns (auth, middleware, data stores, event patterns, caching, telemetry); serverless patterns; data migration
4+ years providing hands-on technical assistance to the delivery team, reviewing designs and code for architectural fit, monitoring engineers and serving as the primary technical liaison between business stakeholders and engineering.
8+ years of experience leading large-scale global technology teams responsible for requirements definition, requirements management, and requirements validation;
1+ years’ experience designing and delivering production-grade AI solutions such as LLM applications, RAG systems, agentic workflows, intelligent automation or ML-enabled products.
Experience owning the end-to-end solution architecture which includes defining integration patterns, data flows, and technical design decisions across systems.
Experience driving the technical delivery on-site (not remotely), translating business requirements into detailed technical designs, sequencing work across integration and data layers, ensuring the solution is built to spec from design to deployment.
Deep understanding of AI/ML concepts, including experience with LLMs and their application in enterprise settings.
Familiarity with various hyperscaler tools and services.
Hyperscaler Architect certification is required (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect).
Experience leading the configuration and change management teams responsible for application deployments including the coordination of database changes and other necessary application configurations.
3+ years implementing CI/CD and DevSecOps with Cloud Build, GitHub Actions or Jenkins.
Ability to travel up to 50% nationally based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Preferred Qualifications:

Experience with architecture design patterns such as MVP or MVC, Gang of Four, etc.
Experience with JQuery, JavaScript and common JavaScript Patterns
Experience or passion for implementing cloud solutions on Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform
Experience with Anthropic Claude, OpenAI-compatible APIs, enterprise
Master’s degree in computer science or engineering.

Wages and 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 $141,200 to $278,300. 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, the individual and organizational performance.

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Jobs in the United States