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Remote Mainframe Jobs in Irvine, CA (NOW HIRING)

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Remote Mainframe information

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$10

$57

$77

How much do remote mainframe jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote mainframe in Irvine, CA is $57.30, according to ZipRecruiter salary data. Most workers in this role earn between $50.58 and $65.00 per hour, depending on experience, location, and employer.

What is a remote mainframe?

A Remote Mainframe job refers to positions where professionals manage, maintain, or develop mainframe computer systems while working remotely, often from home or another offsite location. Mainframes are powerful computers used by large organizations for critical applications, bulk data processing, and large-scale transaction processing. Remote mainframe professionals may work in roles such as system administrators, programmers, or support analysts. These roles typically require specialized knowledge of mainframe operating systems like IBM z/OS and experience with mainframe programming languages such as COBOL or Assembler.

What are remote mainframe jobs?

Remote mainframe jobs include a variety of positions, including those in development, customer service, and system administration. In these roles, you may telecommute to monitor existing mainframe systems, help develop new software, secure a computer network, or otherwise manage and control the operations of the mainframe from home. Some remote mainframe jobs also involve coordinating with an on-site engineer to reprogram or adjust mainframe systems as necessary. This is a relatively broad job title that can refer to many different positions, so you may need to narrow your search to specific roles in order to get results that match your education and experience.

What are the key skills and qualifications needed to thrive as a remote mainframe specialist, and why are they important?

To thrive as a Remote Mainframe Specialist, you need deep expertise in mainframe systems (such as IBM z/OS), COBOL or Assembler programming, and experience with large-scale enterprise environments, typically backed by a degree in computer science or related field. Familiarity with tools like JCL, TSO/ISPF, and mainframe performance monitoring tools, as well as certifications like IBM Certified System Programmer, are often required. Strong analytical thinking, problem-solving skills, and effective remote communication are crucial soft skills. These competencies ensure reliable system operations, timely resolution of critical issues, and seamless collaboration with distributed technical teams.

What are some common challenges faced by remote mainframe professionals, and how can they be addressed?

Remote Mainframe professionals often face challenges such as maintaining secure access to legacy systems, managing time zone differences with global teams, and troubleshooting issues without on-site support. To address these, organizations typically provide robust VPNs and multi-factor authentication for secure connections, implement effective communication tools, and foster detailed documentation practices. Staying proactive with regular updates, clear documentation, and open communication with colleagues ensures smoother remote operations and minimizes downtime.

What is the difference between Remote Mainframe vs Remote Data Analyst?

AspectRemote MainframeRemote Data Analyst
Required CredentialsMainframe certifications (e.g., IBM Certified Specialist)Data analysis certifications (e.g., Microsoft, SAS)
Work EnvironmentLegacy systems, mainframe terminals, specialized softwareModern computers, data visualization tools, databases
Employer & Industry UsageFinancial institutions, government agencies, large corporationsTech companies, marketing firms, healthcare organizations
Common Search & Comparison IntentTechnical skills, mainframe job roles, remote opportunitiesData analysis skills, remote data jobs, analytics roles

Remote Mainframe and Remote Data Analyst roles differ mainly in technical focus and work environment. Mainframe roles involve legacy systems and specialized certifications, often within finance or government sectors. Data Analyst positions focus on modern data tools and visualization, applicable across various industries. Both roles are in demand for remote work, but they serve different technical needs and skill sets.

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What cities near Irvine, CA are hiring for Remote Mainframe jobs?

Cities near Irvine, CA with the most Remote Mainframe job openings:

Remote Mainframe jobs near you
Infographic showing various Remote Mainframe job openings in Irvine, CA as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, and 10% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $119,174 per year, or $57.3 per hour.

REMOTE - Lead Software Engineer: 26-00165

Platinum Resource Group

Newport Beach, CA • Remote

$89.37 - $94.37/hr

Contractor

Medical, Dental, Vision

Posted 10 days ago

Job description

LEAD SOFTWARE ENGINEER
 
Location; Newport Beach, CA
 
JOB DESCRIPTION
 
The Annuity Platform Transformation team is seeking a hands-on Lead Software Engineer to help modernize capabilities surrounding our legacy annuity policy administration platforms, including the design, development, testing, and deployment of AWS-based solutions and the orchestration layer that processes business events, applies routing and transformation rules, coordinates downstream activities, and manages exceptions.
 
This role requires a strong combination of software engineering, AWS data platform development, Integration architecture, DevOps automation, and technical leadership. The successful candidate will establish development standards, guide other engineers, conduct code and design reviews, and translate architectural direction into production-ready solutions.
 
KEY RESPONSIBILITIES
 
AWS Data Engineer
 

  • Lead the design and development of an AWS-based operational data layer containing replicated data from mainframe policy administration systems.
  • Build ingestion and processing components supporting cross-platform data ingestion and integration, batch integration, and event-driven data movement.
  • Develop data transformation, mapping, validation, reconciliation, and exception-handling capabilities.
  • Implement solutions using appropriate AWS services such as Amazon S3, Aurora or RDS, DynamoDB, AWS Glue, Lambda, and managed messaging services.
  • Establish controls for data completeness, consistency, lineage, security, retention, and auditability.
  • Implement monitoring for data latency, throughput, data-quality exceptions, failed transactions, and platform availability.
  • Partner with mainframe, data engineering, and integration teams to resolve source-data and data movement issues.

 
  Orchestration and Integration Layer
 

  • Design and build orchestration services that respond to business events and coordinate processing across legacy and modern platforms.
  • Develop APIs, services, workflows, routing rules, transformation logic, and reusable integration components.
  • Implement reliable processing patterns including idempotency, retries, replay, sequencing, error recovery, and dead-letter handling.
  • Support both synchronous and asynchronous integrations using REST APIs, queues, topics, and event-driven patterns.
  • Build configurable business rules and exception-management capabilities that reduce hard-coded processing.
  • Ensure orchestration services provide traceability from the originating event through downstream processing.
  • Collaborate with Product Owners, architects, analysts, QA engineers, and application teams to translate business processes into implementable technical designs.

 
 DevOps and Infrastructure Engineering
 

  • Establish and maintain automated CI/CD pipelines for application, data, and infrastructure deployments.
  • Develop Infrastructure as Code using approved tools such as Terraform, AWS CloudFormation, or AWS CDK.
  • Help configure application-specific AWS resources within enterprise cloud architecture and security guardrails.
  • Implement automated build, test, security-scanning, deployment, rollback, and environment-promotion processes.
  • Support AWS networking, IAM roles and policies, secrets management, encryption, logging, and environment configuration in partnership with Cloud Platform and Security teams.
  • Implement operational dashboards, alerts, distributed tracing, and production-support procedures.
  • Improve platform reliability, scalability, performance, recoverability, and cost efficiency.
  • Create technical runbooks and support the transition of solutions into production operations.

 
 Technical Leadership
 

  • Serve as the hands-on technical lead for developers assigned to the Transformation team.
  • Break architectural designs and product features into implementable engineering components.
  • Establish coding, integration, testing, documentation, and deployment standards.
  • Lead technical design sessions, code reviews, troubleshooting, and root-cause analysis.
  • Mentor developers in AWS engineering, event-driven architecture, data integration, DevOps, and modern software-development practices.
  • Delegate technical work while maintaining accountability for solution quality and integration.
  • Identify technical dependencies, delivery risks, capacity constraints, and architectural decisions requiring escalation.
  • Develop reusable frameworks and patterns that can be adopted across multiple transformation initiatives.
  • Promote automated testing, secure coding, observability, and engineering discipline throughout the development lifecycle.

 
QUALIFICATIONS
 

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent professional experience.
  • Eight or more years of professional software-engineering experience, including responsibility for complex enterprise applications or platforms.
  • Demonstrated experience serving as a technical lead, lead developer, or senior engineer responsible for guiding other developers.
  • At least four years of hands-on AWS development or cloud-platform engineering experience.
  • Strong programming experience in Java, Python, or another enterprise development language.
  • Experience building APIs, microservices, data-processing services, and event-driven applications.
  • Experience with AWS data and integration services, relational databases, NoSQL databases, and object storage.
  • Experience designing data-ingestion, replication, transformation, reconciliation, or operational data-processing solutions.
  • Experience building CI/CD pipelines and deploying Infrastructure as Code.
  • Working knowledge of cloud security, IAM, encryption, secrets management, networking, logging, and monitoring.
  • Experience with automated unit, integration, performance, and deployment testing.
  • Strong troubleshooting skills across applications, data pipelines, cloud services, and infrastructure.
  • Ability to communicate technical decisions, tradeoffs, risks, and dependencies to both technical and nontechnical stakeholders.

 
Preferred Qualifications
 

  • AWS Developer, Solutions Architect, DevOps Engineer, or Data Engineer certification.
  • Experience integrating AWS applications with mainframe platforms.
  • Familiarity with COBOL, DB2 for z/OS, VSAM, CICS, batch processing, or mainframe data structures.
  • Experience with cross-platform data integration tools and technologies.
  • Experience with Amazon EventBridge, SQS, SNS, MSK or Kafka, Step Functions, ECS, EKS, or Lambda.
  • Experience building high-volume, highly available, and auditable financial-services platforms.
  • Familiarity with insurance, annuity, policy administration, or regulated financial-services environments.
  • Experience with Snowflake or enterprise analytical data platforms while maintaining separation between operational and analytical workloads.
  • Experience with legacy-system modernization patterns, including strangler architecture, parallel processing, reconciliation, and phased migration.
  • Experience using AI-assisted engineering tools for code analysis, development, testing, or technical documentation.

 
Leadership Competencies
 

  • Lead through technical credibility and hands-on contribution.
  • Coach engineers while holding the team accountable for engineering quality.
  • Make pragmatic decisions within established enterprise architecture and security standards.
  • Communicate clearly across application, data, infrastructure, security, architecture, and business teams.
  • Balance near-term delivery needs with long-term maintainability and reuse.
  • Work effectively in an environment involving legacy platforms, cloud services, vendor partners, and multiple dependent teams.

 
 
 
 

Company Description

Platinum Resource Group is a professional level consulting firm, providing resources to Fortune 1000 client companies in the areas of technology, human resources, accounting, finance, business systems and supply chain, on a contract and interim basis. PRG has operations in Orange County, San Diego, Los Angeles and San Francisco. As a W-2 employer we offer our consultants direct deposit bi-weekly payroll, health, dental, vision benefits, and referral bonuses.