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Twitter Software Engineer Remote Jobs (NOW HIRING)

DivIHN

MES Software Engineer - Remote (2 Openings)

MES Software Engineer - Remote (2 Openings) Location: Remote, East Coast or Central US time Duration: 4+ Months with possibility of extension, based on demand Schedule: Monday-Friday 8 AM - 5 PM, no ...

Rapta, Inc

Senior Software Engineer (Remote)

Portland, OR · Remote

$140K - $175K/yr

Senior Software Engineer Full-Time Position | Portland, Oregon About Us Rapta is revolutionizing ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

Upbound

Senior Software Engineer [REMOTE]

San Francisco, CA · Remote

$144K - $190K/yr

Learn more at upbound.io Upbound is hiring a Senior Software Engineer to help us build and operate ... LI-REMOTE Why Upbound? At Upbound, you'll help shape the systems and strategies that drive ...

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Twitter Software Engineer Remote information

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$63.5K

$147.5K

$205.5K

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

As of Aug 20, 2026, the average yearly pay for twitter software engineer remote in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 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.

More about Twitter Software Engineer Remote jobs

What cities are hiring for Twitter Software Engineer Remote jobs?

Cities with the most Twitter Software Engineer Remote job openings:

What are the most commonly searched types of Twitter Software Engineer jobs?

The most popular types of Twitter Software Engineer jobs are:

What states have the most Twitter Software Engineer Remote jobs?

States with the most job openings for Twitter Software Engineer Remote jobs include:

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The top searched job categories for Twitter Software Engineer Remote jobs are:

Twitter Software Engineer Remote jobs near you
Infographic showing various Twitter Software Engineer Remote job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Senior AI Platform/Backend Software Engineer

Apex Informatics

Remote

$125K - $165K/yr

Other

Re-posted yesterday

Job description

Title: Senior AI Platform/Backend Software Engineer
Remote role
Job Description:
Job Description
  • Design and deploy agentic AI workflows that connect Large Language Models (LLMs) and custom machine learning models into backend architectures, using frameworks like LangChain, LangGraph, PydanticAI or SemanticKernel.
  • Design systems for multi-agent coordination and multi-step reasoning loops/memory management.
  • Build and maintain data ingestion pipelines and vector databases (e.g., Pinecone, Weaviate) to support Retrieval-Augmented Generation for AI agents.
  • Implement tracing (e.g., LangSmith, Langfuse) and build evaluation pipelines to measure accuracy, latency, and cost.
  • Design testing strategies for non-deterministic AI outputs, including the implementation of guardrails and safety constraints.
  • Deploy and orchestrate containerized services using Docker and Kubernetes on cloud platforms like AWS, GCP, or Azure (Azure preferred)
  • Preferred: Experience with Azure Foundry/ Azure OpenAI

Qualifications
  • University degree in Computer Science or a related discipline.
  • 12+ years of professional experience in software engineering or backend systems.
  • 2-3 years relevant experience in AI technologies - building APIs, integrating LLMs, designing RAG pipelines, and deploying scalable microservices.
  • Strong applied expertise with frameworks like LangChain, FastAPI, CrewAI, and cloud platforms.

Apply