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Deloitte Java Developer Jobs in Chicago, IL (NOW HIRING)

Guidewire Architect

Chicago, IL · On-site

$62.50 - $81.50/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Deloitte's Financial Services Industry consulting practice is the largest in the world, serving ...

Programming experience in Python, Java, or Bash * Experience integrating marketing technology ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

GCP Cloud Analytics Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

Experience with Spark, Java, Apache Kafka, and Striim * Experience with other cloud platforms ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

Associate AI Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

Master's degree in computer science or engineering. * Hands-on experience in Java, Python or .NET ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

Showing results 21-40

Deloitte Java Developer information

See Chicago, IL salary details

$16

$58

$79

How much do deloitte java developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for deloitte java developer in Chicago, IL is $58.45, according to ZipRecruiter salary data. Most workers in this role earn between $50.58 and $65.43 per hour, depending on experience, location, and employer.

What does a Deloitte Java Developer do?

A Deloitte Java Developer is responsible for designing, developing, and maintaining Java-based applications and solutions for Deloitte's clients. They work closely with project managers, business analysts, and other team members to deliver high-quality software that meets client requirements. Typical tasks include writing clean code, debugging issues, optimizing performance, and integrating applications with other systems. Deloitte Java Developers may also participate in code reviews, contribute to architectural decisions, and keep up with the latest Java technologies.

How does a Deloitte Java Developer typically collaborate with cross-functional teams on large-scale projects?

As a Java Developer at Deloitte, you will frequently work within multidisciplinary teams that include business analysts, project managers, QA testers, and other developers. Collaboration is often facilitated through Agile methodologies, such as Scrum, with regular stand-up meetings to coordinate progress and address blockers. You’ll contribute to code reviews, help design technical solutions based on client requirements, and participate in collaborative problem-solving sessions. This environment encourages knowledge sharing and provides opportunities to learn from experts in various domains, fostering both personal and professional growth.

What are the key skills and qualifications needed to thrive as a Deloitte Java Developer, and why are they important?

To thrive as a Deloitte Java Developer, you need a solid background in Java programming, object-oriented design, and a degree in computer science or a related field. Familiarity with technical tools such as Spring Framework, RESTful APIs, version control systems like Git, and experience with cloud platforms are typically required. Strong problem-solving abilities, effective communication, and teamwork are standout soft skills in this role. These competencies enable developers to deliver robust, scalable solutions and collaborate efficiently within Deloitte’s multidisciplinary project teams.

What is the difference between Deloitte Java Developer vs Deloitte Software Engineer?

AspectDeloitte Java DeveloperDeloitte Software Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science or related, Java or software certifications
Work EnvironmentCollaborative teams, client projects, Agile methodologyDevelopment teams, project-based, Agile or Scrum
Employer & Industry UsageConsulting firms, finance, healthcare, technologyConsulting firms, technology, finance, government
Common Search & ComparisonOften compared for Java-specific roles at DeloitteBroader software development roles at Deloitte

The Deloitte Java Developer focuses specifically on Java-based application development, requiring Java certifications and expertise in Java frameworks. The Deloitte Software Engineer has a broader scope, working on various programming languages and software solutions. Both roles operate in similar environments and industries, but the Java Developer is more specialized in Java technologies, making it ideal for those with Java expertise seeking roles at Deloitte.

Infographic showing various Deloitte Java Developer job openings in Chicago, IL as of September 2026, with employment types broken down into 86% Full Time, 5% Part Time, and 9% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $121,582 per year, or $58.5 per hour.

Cyber Identity - FDE Engineering Manager

Chicago, IL • On-site

Deloitte
Finance and Insurance • 10K+ employees

Full-time

Re-posted 24 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

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 manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

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 $155,600 to $306,800.

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.


#CyberDTP27

Qualifications:

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

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 manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

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 $155,600 to $306,800.

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.


#CyberDTP27

Education:Bachelor's DegreeEmployment Type:

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