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Part Time Insurance Software Developer Jobs in California

Lancesoft

Software Engineer-Developer 4

Seal Beach, CA · On-site

$66.46 - $75.96/hr

Additional Information Full Time / Part Time / On Call: Full time Shift: First Start Time: 8: 00 AM ... We offer a comprehensive benefits package that includes health insurance, retirement plans, and ...

Booz Allen Hamilton, Inc.

Software Engineer

San Diego, CA · On-site

$86.90K - $198K/yr

As a full-stack developer, you can resolve a problem with a complete end-to-end solution in a fast ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Software Engineer

Roseville, CA · On-site

$86.90K - $198K/yr

As a full stack developer on this team, you will resolve complex problems with complete end to end ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Lancesoft

Software Engineer-Systems 5

Seal Beach, CA · On-site

$96.75 - $110.57/hr

... Part Time / On Call: Full time Shift: First Start Time: 8: 00 AM End Time: 4: 30 PM Does this ... We offer a comprehensive benefits package that includes health insurance, retirement plans, and ...

ATA Engineering, Inc

Engineering Software Programmer

CA · On-site

$85K - $125K/yr

ATA is seeking engineers who like to develop software. The successful candidate will be detail ... No contractors or part-time applications will be accepted. * Excellent verbal and written ...

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Part Time Insurance Software Developer information

What are the key skills and qualifications needed to thrive as a Part Time Insurance Software Developer, and why are they important?

To thrive as a Part Time Insurance Software Developer, you need strong programming skills (such as Java, C#, or Python), experience with insurance industry concepts, and a degree in computer science or a related field. Familiarity with insurance management systems, cloud computing platforms, and tools like SQL databases or policy administration software is typically required. Excellent problem-solving, time management, and communication skills help developers effectively collaborate and deliver results within limited hours. These skills ensure high-quality, compliant software solutions that meet the specific needs of insurance organizations while accommodating a part-time schedule.

How do part-time insurance software developers typically collaborate with full-time team members and stakeholders?

Part-time insurance software developers often work closely with full-time developers, business analysts, and project managers through regular status meetings, collaborative platforms, and shared documentation. Clear communication and well-defined project management tools help ensure seamless integration of their contributions, even with limited hours. Many teams use agile methodologies, which allow part-time developers to participate in sprints and stand-ups remotely or asynchronously. This structure provides flexibility while maintaining alignment with project goals and deadlines.

What is a Part Time Insurance Software Developer?

A Part Time Insurance Software Developer is a technology professional who works on creating, maintaining, and improving software applications used by insurance companies, but does so on a part-time basis. They typically design and implement features for policy management, claims processing, or customer portals, ensuring that these systems operate efficiently and securely. Working part-time allows for a flexible schedule, which can be ideal for those balancing other commitments. This role requires knowledge of programming languages, software development life cycles, and often familiarity with industry-specific regulations and standards.
What are the most commonly searched types of Insurance Software Developer jobs in California? The most popular types of Insurance Software Developer jobs in California are:
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Part Time Insurance Software Developer jobs near you
Infographic showing various Part Time Insurance Software Developer job openings in California as of May 2026, with employment types broken down into 1% As Needed, 30% Full Time, 52% Part Time, 1% Temporary, and 16% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.
Member of Technical Staff (Software Engineer)

Member of Technical Staff (Software Engineer)

Cerebras Systems

Sunnyvale, CA • On-site

$175K/yr

Full-time, Part-time

Posted 27 days ago

Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras Systems Inc. has multiple openings for Member of Technical Staff (Software Engineer)
Title: Member of Technical Staff (Software Engineer)
Job Duties
  • Implement infrastructure to support high-performance, low-latency inference service.
  • Deploy and configure Kubernetes services to ensure scalability and reliability of inference workloads.
  • Optimize resource allocation and auto-scaling policies to handle variable inference demand while minimizing operational costs.
  • Integrate inference services with containerized environments using Docker and Kubernetes for orchestration.
  • Ensure high availability and fault tolerance by implementing multi-region deployments and disaster recovery strategies.
  • Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks.
  • Collaborate with machine learning engineers to validate inference accuracy and performance against functional and latency requirements.
  • Triage and resolve defects in the service by analyzing logs, metrics, and distributed traces.
  • Debug issues related to model deployment, container orchestration, or networking configurations, documenting steps to reproduce and root-cause defects.
  • Collaborate with cross-functional teams to address performance regressions, scalability issues, or integration failures in the inference pipeline.
  • Develop automated scripts to detect and mitigate common failure modes, improving system reliability.
  • Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers.
  • Work with product management and user experience teams to define requirements for inference service interfaces, including configuration, monitoring, and event logging.
  • Document and track defects, enhancements, and release notes using tools like Jira and Git, ensuring version control and traceability.
  • Participate in release planning and prioritization discussions to align infrastructure development with customer needs and business objectives.

Minimum Requirements:
Master's degree or foreign equivalent degree in Computer Science, or a related field and 1 year of experience as Software Developer, Student/Intern (Software Developer), Member of Technical Staff (Software Engineer), Software Engineer, or a related occupation required. Employer accepts full-time or equivalent part-time experience gained before, during or after graduate studies.
Required Skills:
  • Docker and Kubernetes;
  • Java or C++;
  • ActiveMQ and Kafka;
  • Python or Groovy;
  • JavaScript or TypeScript;
  • Linux;
  • SQL, OracleDB, and Redis; and
  • Git

Additional Information:
Employer's name: Cerebras Systems Inc.
Job site : 1237 E Arques Avenue, Sunnyvale, CA 94085
Telecommuting permitted
Salary Range: $169,600.00 per year to $175,000.00 per year
If you are interested in applying for this position, please apply online on this web page or mail resume to HR at Cerebras Systems Inc., 1237 E Arques Avenue, Sunnyvale, CA 94085. Please reference Job # 146 on resume or cover letter.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we've reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
  1. Build a breakthrough AI platform beyond the constraints of the GPU.
  2. Publish and open source their cutting-edge AI research.
  3. Work on one of the fastest AI supercomputers in the world.
  4. Enjoy job stability with startup vitality.
  5. Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2026.
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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