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Hedge Fund Software Engineer Remote Jobs (NOW HIRING)

Staff Software Engineer

San Francisco, CA · Remote

$172K - $227K/yr

Remote, United States (West Coast preferred); $172,500 -$227,500 base (flexible) About Our client ... The Staff Software Engineer is responsible for extending their in-house blockchain systems ...

GovCIO is seeking an experienced Senior Software Engineer to support the Department of Veterans ... This position is fully remote, located in the United States. Responsibilities • Collaborate with ...

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 ...

Senior Software Engineer

Summerville, SC · Remote

$125K - $165K/yr

Senior Software Engineer Senior Software Engineer (Remote - C#/.NET/Azure) Company Overview We are a fully remote team located across the US. We have a revolutionary Education Technology platform ...

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 ...

Senior Software Engineer [REMOTE]

$125K - $165K/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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Showing results 1-20

Hedge Fund Software Engineer Remote information

See salary details

$63.5K

$147.5K

$205.5K

How much do hedge fund software engineer remote jobs pay per year?

As of Jul 12, 2026, the average yearly pay for hedge fund 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 are the key skills and qualifications needed to thrive as a Hedge Fund Software Engineer (Remote), and why are they important?

To thrive as a Hedge Fund Software Engineer (Remote), you need strong programming skills (often in Python, C++, or Java), a solid understanding of algorithms, data structures, and a relevant degree in computer science or a related field. Experience with financial systems, low-latency trading platforms, cloud computing, and familiarity with tools like Git and SQL are typically required, while certifications such as AWS Certified Solutions Architect can be beneficial. Excellent problem-solving, self-motivation, and clear communication skills are essential for collaborating across distributed teams and managing complex projects independently. These competencies ensure the reliability, efficiency, and scalability of trading systems, which are critical for maintaining a hedge fund's competitive edge.

What is the difference between Hedge Fund Software Engineer Remote vs Quantitative Analyst Remote?

AspectHedge Fund Software Engineer RemoteQuantitative Analyst Remote
Required CredentialsComputer Science degree, programming skills, financial knowledgeMathematics, statistics, programming skills, finance background
Work EnvironmentCollaborative teams, remote software development projectsData analysis, model development, remote research
Employer & Industry UsageHedge funds, asset management firms, fintech companiesHedge funds, investment firms, financial institutions
Search & Comparison IntentUnderstanding software engineering roles in hedge fundsComparing quantitative analysis roles in finance

Hedge Fund Software Engineers and Quantitative Analysts both work in finance but focus on different areas. Software engineers develop and maintain trading platforms, while quantitative analysts create models for investment strategies. Both roles often require programming skills and finance knowledge, but their daily tasks and objectives differ.

What does a remote hedge fund software engineer do?

A remote hedge fund software engineer designs, develops, and maintains software systems that support trading, risk management, data analysis, and other key functions at a hedge fund. They work with technologies like Python, C++, or Java to build applications that process large volumes of financial data and help traders make informed decisions. Their responsibilities may include automating trading strategies, ensuring system reliability, and collaborating with quantitative analysts and portfolio managers—all while working from a remote location.

What are some unique challenges faced by remote Hedge Fund Software Engineers compared to those in traditional finance software roles?

Remote Hedge Fund Software Engineers often encounter the challenge of collaborating with globally distributed teams while building and maintaining high-performance, low-latency trading systems. In addition to strong technical skills, effective communication and proactive problem-solving are crucial, as engineers must coordinate closely with traders, quants, and other stakeholders virtually. The fast-paced, results-driven hedge fund environment can require quick adaptation to ever-changing requirements and tight deadlines. However, this also offers exposure to cutting-edge technologies and the opportunity to directly impact trading performance from a remote setting.
More about Hedge Fund Software Engineer Remote jobs
What cities are hiring for Hedge Fund Software Engineer Remote jobs? Cities with the most Hedge Fund Software Engineer Remote job openings:
What are the most commonly searched types of Hedge Fund Software Engineer jobs? The most popular types of Hedge Fund Software Engineer jobs are:
What states have the most Hedge Fund Software Engineer Remote jobs? States with the most job openings for Hedge Fund Software Engineer Remote jobs include:
Infographic showing various Hedge Fund Software Engineer Remote job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% 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

Senior AI Platform/Backend Software Engineer

Apex Informatics

Remote

$125K - $165K/yr

Other

Re-posted 22 days ago


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.