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Remote Mvs Mainframe Operator Jobs in California

Remote Mvs Mainframe Operator information

What is a Remote MVS Mainframe Operator?

A Remote MVS Mainframe Operator is a professional responsible for monitoring, managing, and troubleshooting mainframe computer systems running on the Multiple Virtual Storage (MVS) operating system, often from a remote location. Their duties include ensuring system availability, running batch jobs, responding to system alerts, and performing routine maintenance tasks. They play a critical role in keeping mainframe environments stable and efficient for organizations that rely on legacy computing systems. Remote operators use specialized software and secure connections to access and manage mainframe resources without needing to be physically present at the data center.

What are the key skills and qualifications needed to thrive as a Remote MVS Mainframe Operator?

To thrive as a Remote MVS Mainframe Operator, you need a solid understanding of mainframe environments, especially IBM z/OS and MVS operating systems, often backed by relevant IT certifications or experience. Familiarity with mainframe monitoring tools (such as IBM System Display and Search Facility), job scheduling software, and remote access protocols is typically required. Attention to detail, strong problem-solving abilities, and effective communication are essential soft skills for managing incidents and coordinating with technical teams. These skills ensure the reliable operation, rapid troubleshooting, and secure management of critical mainframe systems in a remote setting.

How does a Remote MVS Mainframe Operator coordinate with on-site teams to resolve system issues?

As a Remote MVS Mainframe Operator, you will frequently collaborate with on-site system administrators and technical support teams to troubleshoot and resolve system issues. Communication is typically handled through ticketing systems, phone calls, or instant messaging platforms to ensure timely responses to critical incidents. Operators are expected to provide detailed logs, system status updates, and recommend actions based on monitoring tools. Building strong communication skills and understanding escalation protocols are essential for seamless collaboration and effective problem-solving.

What are the most commonly searched types of Mvs Mainframe Operator jobs in California?

The most popular types of Mvs Mainframe Operator jobs in California are:

What are popular job titles related to Remote Mvs Mainframe Operator jobs in California?

For Remote Mvs Mainframe Operator jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Mvs Mainframe Operator jobs in California look for?

The top searched job categories for Remote Mvs Mainframe Operator jobs in California are:

What cities in California are hiring for Remote Mvs Mainframe Operator jobs?

Cities in California with the most Remote Mvs Mainframe Operator job openings:

Staff Software Engineer - Computer Vision

Array Labs

Redwood City, CA • On-site, Remote

$150K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 19 days ago


Job description

About Us

Array Labs is building a new way to understand the physical world.

Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions.

Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters.

We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth.

 
About the Job
As a Staff Software Engineer for Computer Vision, you will develop and deploy across all of Array's 3D processing capabilities, including our photogrammetry and radar reconstruction pipelines. The work spans computer vision algorithms and production engineering: you should be equally comfortable reading a paper about unfamiliar algorithms, and shipping new capabilities as production-quality software. The position will work closely with 3D reconstruction scientists, radar algorithms engineers, and product engineers.
Responsibilities
  • Productionize and continuously improve Array's photogrammetry and radar image formation pipelines using industry best practices.
  • Step into individual pipeline stages — bundle adjustment, dense matching, point cloud generation, geometric refinement, geo-referencing — to improve accuracy, robustness, and throughput.
  • Develop and optimize database schemas and storage solutions for managing large-scale 3D geospatial data.
  • Contribute to broader software engineering efforts across the company, including data infrastructure, analytics, and systems to deliver our satellite data to customers.
Basic Qualifications
  • 5+ years of software engineering experience, with a substantial portion focused on computer vision.
  • Strong proficiency in Python and C++, experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (e.g. Docker, Kubernetes).
  • Strong foundation in geometric computer vision, spanning camera modeling, epipolar geometry, and multi-view reconstruction pipelines (stereo, SfM, MVS, bundle adjustment).
  • Excellent communicator, with the ability to make high-quality technical decisions in a startup environment.
Preferred Skills & Experience
  • Experience with geospatial concepts, remote sensing data, or robotics/autonomous vehicle sensor data
  • Familiarity with digital signal processing, radar algorithms, or SAR concepts
  • Familiarity with deep learning approaches to 3D vision (e.g. NeRF, 3D Gaussian Splatting, learned feature matching, or depth estimation)
  • Experience with C++ or CUDA for performance optimization
  • Ability to build visualization tools for geospatial or 3D data (Cesium, Three.js, or similar)
Compensation & Benefits
Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.
 
We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.
 
Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.
 
 
Interview Process
We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.
 
 
Why Join Array
At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries and move fast.
 
Our values:
  1. Build What Matters: Create technology that serves customers and advances humanity
  2. Innovate Together: Stay curious, collaborate openly, push boundaries as one team
  3. Employee Centric: Put our people first with a culture of trust, respect, and opportunity
  4. Join industry-leading experts to deliver unprecedented insights about our planet and build the future of Earth observation.
 
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
 
Equal Opportunity Employer
Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.
 
If you require a reasonable accommodation during the application or interview process, please let us know.