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Mainframe Developer Jobs in Hawaii (NOW HIRING)

Senior AI Software Engineer

Honolulu, HI · On-site

$121K - $159K/yr

R0244309 AI Software Engineer, Senior The Opportunity: As an experience d sof tware engineer, you know how to design, develop , and deliver production AI applications that demonstrate the practical ...

They are seeking a Software Engineer (AI Focus) to develop user-facing applications that leverage AI technologies for operational environments, working closely with product managers and AI ...

Software Engineer II

Honolulu, HI · On-site

$72K - $102K/yr

The engineer collaborates with cross-functional teams to implement modern development technologies across both front-end and back-end systems. The role requires proficiency with modern technologies ...

Senior Software Engineer, Backend

Honolulu, HI · On-site +1

$165K - $241K/yr

Focus on increasing reliability, performance, scalability, testability, maintainability, observability, and developer experience. * Work with various groups within Cisco to understand their and our ...

New

Proficient in explaining complex agent behaviors and domain-specific language (DSL) logic to non-developer military users, as well as communicating field issues to engineering teams * Capacity to ...

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Mainframe Developer information

See Hawaii salary details

$10

$55

$75

How much do mainframe developer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for mainframe developer in Hawaii is $55.46, according to ZipRecruiter salary data. Most workers in this role earn between $48.94 and $62.93 per hour, depending on experience, location, and employer.

What is the difference between Mainframe Developer vs Mainframe Analyst?

AspectMainframe DeveloperMainframe Analyst
Primary RoleDesigning, coding, and testing mainframe applicationsAnalyzing and maintaining existing mainframe systems
Skills & CertificationsCOBOL, JCL, DB2, certifications like IBM Certified DeveloperCOBOL, JCL, system analysis, troubleshooting skills
Work EnvironmentDevelopment teams, coding in mainframe environmentsSupport teams, system analysis, user support
Industry UsageFinancial services, insurance, government agenciesFinancial institutions, healthcare, government agencies

While Mainframe Developers focus on creating and implementing mainframe applications, Mainframe Analysts primarily analyze, troubleshoot, and maintain existing systems. Both roles require similar technical skills and often work within the same industries, but their core responsibilities differ in development versus support and analysis.

What are some common challenges Mainframe Developers face when integrating legacy systems with modern applications?

Mainframe Developers often encounter challenges such as ensuring compatibility between legacy systems and newer technologies, managing data migration without disrupting business operations, and maintaining the security of sensitive data. Effective communication with cross-functional teams, such as application developers and infrastructure engineers, is essential to address these challenges. Staying updated on both mainframe and modern programming practices helps ease integration and ensures long-term system reliability.

What are Mainframe Developers?

Mainframe Developers are specialized software engineers who design, develop, maintain, and troubleshoot applications on mainframe computer systems, such as IBM's z/OS. They typically work with languages like COBOL, JCL, and CICS, and are responsible for ensuring the performance, security, and reliability of mission-critical business applications. Mainframe Developers are commonly employed in industries like banking, insurance, and government, where large-scale, high-volume transaction processing is essential.

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

To thrive as a Mainframe Developer, you need expertise in programming languages such as COBOL, JCL, and SQL, along with a strong understanding of mainframe operating systems and batch processing concepts. Familiarity with tools like IBM z/OS, DB2, CICS, and version control systems is typically required, and certifications from IBM or related organizations can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help Mainframe Developers excel in troubleshooting and collaborating with cross-functional teams. These skills are crucial for maintaining, optimizing, and modernizing legacy systems that are vital to many large organizations’ operations.
What are the most commonly searched types of Mainframe Developer jobs in Hawaii? The most popular types of Mainframe Developer jobs in Hawaii are:
What are popular job titles related to Mainframe Developer jobs in Hawaii? For Mainframe Developer jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Mainframe Developer jobs in Hawaii look for? The top searched job categories for Mainframe Developer jobs in Hawaii are:
Infographic showing various Mainframe Developer job openings in Hawaii as of July 2026, with employment types broken down into 78% Full Time, 10% Part Time, 1% Temporary, and 11% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $115,352 per year, or $55.5 per hour.
AI Software Engineer, Senior

AI Software Engineer, Senior

Booz Allen Hamilton Inc.

Honolulu, HI • On-site

$121K - $159K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 8 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

AI Software Engineer, Senior

The Opportunity:

As an experienced software engineer, you know how to design, develop, and deliver production AI applications that demonstrate the practical value of generative AI, large language models (LLMs), and autonomous workflows. You combine strong software engineering fundamentals with modern AI development practices to build reliable, scalable, and secure systems that solve real-world problems.
 
In this role, you'll design AI applications that leverage prompting, retrieval-augmented generation (RAG), agentic workflows, evaluation pipelines, and human-in-the-loop interactions to deliver measurable mission impact. You'll build modular, reusable AI capabilities that integrate multiple model providers and external tools while optimizing for performance, cost, observability, and safety.
 
You'll rapidly prototype and iterate using AI-assisted development tools, applying eval-driven development and continuous experimentation to validate solutions before deploying them into production.
 
Working alongside data engineers, data scientists, solution architects, and product owners, you'll help define the architecture and engineering practices behind mission-critical AI applications while collaborating with a multidisciplinary team to deliver impactful mission solutions.

What You’ll Do:

  • Design and develop production AI applications that integrate foundation models, retrieval systems, external tools, and enterprise data sources.
  • Architect modular and reusable AI components for prompting, retrieval, orchestration, tool execution, memory, and evaluation.
  • Build AI applications that leverage structured outputs, embeddings, RAG, long-context reasoning, and agentic workflows where appropriate.
  • Develop data pipelines for ingesting, transforming, indexing, and refreshing structured and unstructured data used by AI applications.
  • Implement evaluation frameworks to measure correctness, robustness, safety, and mission outcomes using both automated and human evaluation techniques.
  • Optimize AI applications for latency, reliability, scalability, and operational cost through experimentation, benchmarking, and continuous improvement.
  • Apply asynchronous programming and event-driven design patterns to support long-running workflows and distributed AI applications.
  • Incorporate observability, monitoring, guardrails, access controls, and responsible AI practices throughout the application lifecycle.
  • Deploy AI services securely on AWS or equivalent cloud platforms using Docker, Kubernetes, serverless, or other cloud-native deployment patterns.
  • Apply modern software engineering practices, including automated testing, CI/CD, prompt and workflow versioning, and safe rollout of AI updates.
  • Leverage AI-assisted development tools to accelerate implementation while maintaining engineering rigor, maintainability, and code quality.
  • Collaborate with clients and cross-functional teams to identify high-value AI opportunities, rapidly prototype solutions, and transition successful concepts into production.
  • Present technical solutions to both technical and non-technical stakeholders.

Join us. The world can’t wait. 

You Have: 

  • 3+ years of experience with software engineering in a professional work environment
  • 2+ years of experience developing AI or machine learning solutions in a professional environment
  • Experience building production AI applications using programming languages such as Python
  • Experience designing and implementing generative AI applications using large language models
  • Experience building retrieval-augmented generation (RAG) solutions and integrating AI systems with enterprise data
  • Experience with AI orchestration frameworks such as LangChain
  • Experience developing AI applications that interact with external tools, APIs, or enterprise systems, and evaluating and improving AI application quality through testing, experimentation, or benchmarking
  • Experience deploying cloud-native applications using cloud platforms such as AWS
  • Secret clearance
  • Bachelor's degree in Computer Science, Engineering, or a technology field

Nice If You Have: 

  • Experience building AI applications that incorporate autonomous or agentic workflows
  • Experience with multimodal AI applications involving text, images, audio, or documents
  • Experience designing AI evaluation, observability, or safety frameworks
  • Experience deploying portable, edge, or offline-capable AI applications
  • Experience developing user interfaces that enable effective interaction with AI applications
  • Experience delivering technical solutions in client-facing environments
  • Experience using AI-assisted software development tools to improve engineering productivity
  • Master's degree in Computer Science, AI, or a related technical field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914