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Home Based Insurance Software Developer Jobs in Princeton, NJ

Sr Software Developer

New York, NY · On-site

$150K - $210K/yr

This is a Lead Software Engineering position at the Vice President level, which is part of the job ... Work with ML researchers to develop, productionize, and deploy ML based project for clients. * Dig ...

AI Software Developer

New York, NY · Hybrid

$125K - $200K/yr

Fully paid medical and dental insurance for employees and dependents, flexible spending account ... We set standard base pay ranges for all roles based on job function and level, benchmarked against ...

Senior Software Developer

Chandler, AZ · On-site

$53.75 - $71/hr

We are looking for engineers who are passionate about building innovative applications of the ... Deploy and manage cloud-based services on AWS, leveraging services such as CodeBuild & Pipeline ...

Solid understanding of object oriented programming, design patterns, and software engineering best ... Experience building web based GIS applications * Experience with WPF or desktop GIS tools only if ...

Solid understanding of object oriented programming, design patterns, and software engineering best ... Experience building web based GIS applications * Experience with WPF or desktop GIS tools only if ...

AI Software Developer

New York, NY · On-site

$125K - $200K/yr

Fully paid medical and dental insurance for employees and dependents, flexible spending account ... We set standard base pay ranges for all roles based on job function and level, benchmarked against ...

We are seeking a highly motivated, quick-learning developer for our algorithmic software ... Medical, dental, and vision insurance * HSA, FSA, and Dependent Care Options * Employer Paid Group ...

We are seeking a highly motivated, quick-learning developer for our algorithmic software ... Medical, dental, and vision insurance * HSA, FSA, and Dependent Care Options * Employer Paid Group ...

We are seeking an experienced OpenEdge Software Developer with expertise in Progress 4GL to support ... This is a fulltime onsite role to be based in Middletown, PA , we offer best in Industry relocation.

The ideal candidate will play a key role in building, maintaining, and enhancing our software ... Work From Home * Free Food & Snacks * Wellness Resources * Stock Option Plan

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Showing results 1-20

Home Based Insurance Software Developer information

See Princeton, NJ salary details

$50.3K

$117.2K

$174K

How much do home based insurance software developer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for home based insurance software developer in Princeton, NJ is $117,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a Home Based Insurance Software Developer?

A Home Based Insurance Software Developer is a professional who designs, develops, and maintains software applications specifically for the insurance industry, while working remotely from their home. These developers create solutions that help insurance companies manage policies, claims, customer data, and compliance efficiently. They often collaborate with other team members and stakeholders using online tools and communication platforms. The role requires strong programming skills, knowledge of insurance processes, and the ability to work independently.

What are some common challenges faced by home-based insurance software developers, and how can they be addressed?

Home-based insurance software developers often face challenges such as maintaining effective communication with remote teams, staying updated on industry-specific regulations, and ensuring data security while working from home. To address these, it's important to establish regular check-ins via video calls, participate in virtual knowledge-sharing sessions, and utilize secure VPNs and encrypted communication tools. Additionally, joining online insurance technology communities can help developers stay current with best practices and compliance requirements.

What is the difference between Home Based Insurance Software Developer vs Insurance Software Tester?

AspectHome Based Insurance Software DeveloperInsurance Software Tester
Required CredentialsBachelor's in Computer Science or related field, coding certificationsBachelor's in Computer Science, QA certifications (e.g., ISTQB)
Work EnvironmentRemote, independent coding and development tasksRemote or onsite, testing and quality assurance activities
Employer & Industry UsageInsurance tech companies, insurance providersInsurance companies, software vendors, QA firms
Common Search & Comparison IntentUnderstanding roles, skills, and remote opportunitiesComparing testing roles, skills, and responsibilities

The Home Based Insurance Software Developer focuses on designing, coding, and maintaining insurance software solutions remotely. In contrast, an Insurance Software Tester specializes in testing and ensuring the quality of insurance software. Both roles require technical skills and often work remotely within the insurance technology industry, but their core responsibilities differ—development versus quality assurance.

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

To thrive as a Home Based Insurance Software Developer, you need strong programming skills in languages such as Java, C#, or Python, along with a degree in computer science or a related field. Familiarity with insurance industry platforms, APIs, cloud services, and experience with tools like Git, Jira, and SQL databases are typically required. Excellent problem-solving abilities, effective remote communication, and self-motivation help you excel in a distributed work environment. These skills and qualities ensure the timely delivery of robust, compliant software solutions tailored to the specific needs of insurance clients.
What are the most commonly searched types of Insurance Software Developer jobs in Princeton, NJ? The most popular types of Insurance Software Developer jobs in Princeton, NJ are:
What are popular job titles related to Home Based Insurance Software Developer jobs in Princeton, NJ? For Home Based Insurance Software Developer jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Home Based Insurance Software Developer jobs in Princeton, NJ look for? The top searched job categories for Home Based Insurance Software Developer jobs in Princeton, NJ are:
Infographic showing various Home Based Insurance Software Developer job openings in Princeton, NJ as of June 2026, with employment types broken down into 5% Internship, 55% Full Time, and 40% Part Time. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $117,244 per year, or $56.4 per hour.
Sr Software Developer

Sr Software Developer

Morgan Stanley

New York, NY • On-site

$150K - $210K/yr

Full-time

Posted 12 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

40th of 138 rated financial services


Job description

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on.
The Machine Learning Research group is looking for a senior ML developer and DevOps/MLOps engineer. An individual who can sit down with fellow developers, ML researchers, and clients to build out and deploy bespoke but maintainable solutions across heterogeneous technologies.
What you'll do in the role:
  • Work with ML researchers to develop, productionize, and deploy ML based project for clients.
  • Dig into client systems to help retrofit with the team's creations.
  • Maintain and support production systems.
  • Onboard and develop systems to help us manage and reuse ML models across the Firm with a focus on ML Ops.
  • Hack away at compiling and repackaging tricky libraries used by researchers.
  • Find tooling and platform solutions to real-world problems and bring them into the Firm as quickly as possible with adherence to our security policies.
  • Remain up to date on ML tools, libraries, and techniques across the Open Source and vendor landscape.
  • Build and maintain tooling and systems to promote ML development within the firm.
  • Create and maintain code samples to bootstrap ML practitioners so that the work done to help one team will help the next.

What you'll bring to the role:
  • Minimum 10 years of related technology experience.
  • Strong background in Python and Java/C/C++. Development, packaging, patching, etc.
  • Debugging, profiling, and performance engineering.
  • Familiarity with trading systems.
  • Understanding of core infrastructure (hardware and software) and how it can be used to make our job easier, e.g., processor architectures, memory, load balancers, reverse proxies, automation frameworks, etc.
  • Experience with container technologies (Docker, podman, buildah, Kubernetes, etc.) Both with regards to packaging and runtime.
  • At least some familiarity with cloud and cloud enablement technologies (AWS, Azure, Terraform.)
  • Understanding how to use modern and traditional data tiers, e.g., relational databases, object stores, graph databases.
  • Experience designing ETL pipelines.
  • Linux (system level understanding, building software, debugging, etc.)
  • Self-starter capable of taking an idea and seeing it all the way from research to execution.
  • Ability to clearly illustrate complex ideas using documentation and diagrams.

Nice to have:
  • Dask, Ray, Spark, and other distributed compute tech.
  • OSS development.
  • Mathematics, e.g., statistics, linear algebra.
  • Background in data science.
  • Knowledge of the latest deep learning deployment technologies (jax, openxla, etc.)
  • Knowledge of model monitoring tools (mlflow, tensorboard, etc.)
  • Experience with CUDA, ROCm, etc.
  • Exposure to the financial sector (equities, fixed income, etc.)
  • Knowledge of GitHub (general PR workflow, Actions, etc.)

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

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