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Remote Java Developer Jobs in Downingtown, PA (NOW HIRING)

Experience with developer tools such as Visual Studio, VS Code, Postman, or Chrome DevTools. What We Offer: * A great Team and culture - please see our Recruitment Video. * An exciting career as an ...

Software Engineer The Software Engineer is responsible for designing, developing, testing, and maintaining software solutions that support Novacore's Healthcare segment, Carbon Stop Loss Solutions.

Software Engineer The Software Engineeris responsible fordesigning, developing, testing, andmaintainingsoftware solutions that supportNovacore's Healthcare segment, Carbon Stop Loss Solutions. This ...

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Remote Java Developer information

See Downingtown, PA salary details

$16

$58

$80

How much do remote java developer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote java developer in Downingtown, PA is $58.79, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $65.82 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Java Developer, and why are they important?

To excel as a Remote Java Developer, you need a solid understanding of Java programming, object-oriented design, and experience with frameworks like Spring or Hibernate, typically supported by a degree in computer science or related certifications. Familiarity with version control systems (such as Git), build tools (like Maven or Gradle), and cloud platforms is often required. Strong self-motivation, effective communication, and problem-solving skills are crucial for collaborating and managing tasks independently in a remote environment. These abilities ensure high-quality, maintainable code and seamless teamwork, even when distributed across locations.

What is a Remote Java Developer?

A Remote Java Developer is a software engineer who specializes in building, maintaining, and optimizing applications using the Java programming language, while working from a location outside of a traditional office environment. This role typically involves collaborating with team members online, writing code, debugging, and deploying Java-based applications. Remote Java Developers often use communication and project management tools to stay connected with their teams and manage their workloads efficiently. They may work for companies in various industries, including finance, healthcare, and technology, providing flexibility and access to global job opportunities.

What is the difference between Remote Java Developer vs Remote Software Engineer?

AspectRemote Java DeveloperRemote Software Engineer
Required CredentialsBachelor's in CS or related, Java certificationsBachelor's in CS or related, multiple programming certifications
Work EnvironmentCollaborates mainly on Java-based projects, often in tech companiesWorks on diverse projects across various languages and platforms
Employer & Industry UsageTech firms, startups, enterprise companies using JavaTech, finance, healthcare, and other industries requiring software solutions
Search & Comparison IntentOften compared for Java-specific rolesBroader, includes Java but also other languages

Remote Java Developers focus primarily on Java programming within tech environments, while Remote Software Engineers work across multiple languages and platforms. Both roles require similar credentials but differ in scope and project diversity.

How do Remote Java Developers typically collaborate with their teams on complex projects?

Remote Java Developers often rely on a combination of communication tools such as Slack, Zoom, and project management platforms like Jira or Trello to stay connected with their teams. Regular stand-up meetings, code reviews, and pair programming sessions are common practices to ensure alignment and maintain code quality. Working remotely requires proactive communication and strong documentation skills to keep everyone informed and projects on track. Developers are usually part of agile teams and frequently interact with QA engineers, designers, and product managers to deliver features efficiently.

What Does a Remote Java Developer Do?

As a remote Java developer, you work from home to develop, design, implement, and manage Java-based applications. Java is popular a programming language and a platform for applications. While working with Java, your duties include working on program architecture, performing software analysis, running a test and debugging, writing code, transforming requirements into stipulations, and maintaining the program throughout its lifecycle. Java developers often collaborate with other IT members and developers. You can perform your responsibilities as a full-time employee for a specific company or on a freelance basis.

What are the most commonly searched types of Java Developer jobs in Downingtown, PA? The most popular types of Java Developer jobs in Downingtown, PA are:
What are popular job titles related to Remote Java Developer jobs in Downingtown, PA? For Remote Java Developer jobs in Downingtown, PA, the most frequently searched job titles are:
What cities near Downingtown, PA are hiring for Remote Java Developer jobs? Cities near Downingtown, PA with the most Remote Java Developer job openings:
Infographic showing various Remote Java Developer job openings in Downingtown, PA as of June 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,284 per year, or $58.8 per hour.

AI / ML Software Engineer

Hallmark Global Solutions Ltd

Malvern, PA • On-site, Remote

Other

Posted 11 days ago


Job description

5 Open roles mentioned in the email below you can submit contractors or FTE, and these are 100% Remote.
  • We have 5 new positions added, Need only FTE (FTC only if candidate is PHD and has any issue joining FTE like visa constraint etc) and candidate should be working from Malvern PA location
  • Sr Lead to Architect Level (hands on lead/ architect)
  • Job Title: AI / ML Software Engineer
  • Exp: 8 - 15 years of exp
  • No of Position: 5
  • Location - 100% Remote
  • Client Vanguard

Job Description
You will operate as a hands-on engineering leader responsible for designing, building, and running production-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery and engineering standards, and ensure solutions meet enterprise expectations for security, stability, and operational rigor.
A core requirement is stakeholder partnership: you will routinely explain what is being built, why it matters, and how it will perform in production to both technical and non-technical audiences, enabling informed decisions and clear delivery alignment.
Job responsibilities
  • Provide hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployed
  • Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
  • Mentor and uplift junior engineers through design reviews, code reviews, pairing, and coaching, raising engineering quality and delivery discipline across the team. You will build and institutionalize MLOps capabilities, including automated pipelines for deployment, monitoring, and model lifecycle management, with emphasis on scalability and reliability
  • Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
  • Conduct thorough evaluations of generative models (e.g., GPT-4.1), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
  • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
  • Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
  • Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
Required qualifications, capabilities, and skills
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 10+ years of engineering experience, including 3-5+ years building, deploying, and operating applied AI/ML systems in production (model lifecycle, MLOps, monitoring, and governance).
  • Demonstrate hands-on engineering leadership: setting technical direction, making architecture decisions, conducting design and code reviews, mentoring junior engineers, and guiding implementation quality across multiple workstreams
  • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
  • Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
  • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
  • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs.
  • Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
  • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
  • A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering.
Preferred qualifications, capabilities, and skills
  • Familiarity with the financial services industries.
  • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
  • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.

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Suruchi Kale