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Twitter Software Engineer Remote Jobs in Irvine, CA

Principal Software Engineer (Python)

Irvine, CA · On-site +1

$144K - $194K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and testing of complex software systems and applications. This senior-level position is responsible for ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Work with cross-functional engineering teams to integrate ML components into robotics software ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Work with cross-functional engineering teams to integrate ML components into robotics software ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Be Seen First

Software Engineer

Cerritos, CA · Remote

$100K - $200K/yr

Fully Remote Salary Range: Entry Level: $100,000-$120,000/year Experienced / Exceptional Talent: $150,000-$200,000/year Freedom & Ownership: Choose your own problem. Solve it. Deliver a commercial ...

We are looking for a Genesys Engineer to help us design and deliver CX solutions that provide our ... Installation, configuration and testing of Genesys software * Support large implementations of the ...

Showing results 21-40

Twitter Software Engineer Remote information

See Irvine, CA salary details

$68.2K

$158.4K

$220.6K

How much do twitter software engineer remote jobs pay per year?

As of Aug 15, 2026, the average yearly pay for twitter software engineer remote in Irvine, CA is $158,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $185,700.00 per year, depending on experience, location, and employer.

What is the difference between Twitter Software Engineer Remote vs Twitter Data Engineer Remote?

AspectTwitter Software Engineer RemoteTwitter Data Engineer Remote
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, Data Science, or related, strong SQL and data skills
Work EnvironmentCollaborative software development teams, remote codingData pipelines, analytics, remote data management
Employer & Industry UsageCommon in tech companies, software developmentCommon in data-driven roles, analytics teams
Search & Comparison IntentUnderstanding software engineering roles at TwitterUnderstanding data engineering roles at Twitter

The main difference between Twitter Software Engineer Remote and Twitter Data Engineer Remote lies in their focus areas. Software Engineers primarily develop and maintain software applications, while Data Engineers focus on building data pipelines and managing large datasets. Both roles require technical skills and are integral to Twitter's tech infrastructure, but they serve different functions within the company's ecosystem.

What are the most commonly searched types of Twitter Software Engineer jobs in Irvine, CA?

The most popular types of Twitter Software Engineer jobs in Irvine, CA are:

What job categories do people searching Twitter Software Engineer Remote jobs in Irvine, CA look for?

The top searched job categories for Twitter Software Engineer Remote jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Twitter Software Engineer Remote jobs?

Cities near Irvine, CA with the most Twitter Software Engineer Remote job openings:

Staff Software Engineer-AI Products

NextDeavor Inc.

Irvine, CA • Remote

$159K - $165K/yr

Contractor

Re-posted 23 days ago


Job description

Become a Key Player as a Staff Software Engineer-AI Products

You will shape the technical direction and architecture for an enterprise-grade AI platform, driving scalable, secure AI services used by product and engineering stakeholders. You’ll report to the Director of Platform Services and work fully Remote as part of a Platform Services sub-team, partnering closely with application engineering, cloud infrastructure, applied AI, and product.

Here's How You'll Make an Impact on the Team
  • Own the reference architecture for the AI platform, including API abstractions, prompt and version management, RAG infrastructure, vector retrieval, evaluation harnesses, and model serving.
  • Lead build-vs-buy evaluations, due diligence, and integration planning for AI components.
  • Design and implement foundational data pipelines and infrastructure to support reliable, scalable AI services with security and compliance in mind.
  • Contribute hands-on backend development in Python and RESTful API design; participate in full-stack delivery using React/TypeScript when needed.
  • Build and maintain tooling, SDKs, platform APIs, and evaluation frameworks to enable reproducible model testing and safe AI adoption by product teams.
  • Establish observability and performance tracking for AI services and apply secure-by-default principles (encryption, least privilege, audit logging).
  • Mentor and sponsor other engineers, lead architecture reviews, and drive engineering best practices and documentation.
Here's What You'll Need to Be Successful in This Role
  • 8+ years of professional software engineering experience with demonstrated cross-team architectural influence.
  • Proven end-to-end delivery of AI-powered features from concept to production.
  • Strong proficiency in Python and RESTful API development (e.g., FastAPI, Django).
  • Experience with full-stack development (React, TypeScript) and integrations with third-party LLM/AI APIs.
  • Familiarity with AWS services (IAM, networking, managed services, storage) and cloud-native architecture.
  • Solid foundation in distributed systems, API design, CI/CD, Docker, version control, and observability tools.
  • Experience with GenAI patterns (RAG pipelines, prompt management, LLM evaluation, agent frameworks) and vector databases/semantic search.
  • Exposure to model serving, MLOps/LLMOps practices, IaC (Terraform/Pulumi), and Kubernetes.
  • Strong communication skills for technical and non-technical stakeholders and experience authoring RFCs/ADRs.
  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
Here's What Else Might Help You Out
  • Experience building in financial services, fintech, or other regulated environments.
  • Working familiarity with AI governance and compliance frameworks relevant to finance (model risk, fair lending, SOC 2).
Pay Range

$236K/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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