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Remote Wso2 Software Engineer Jobs in Delaware (NOW HIRING)

Smvsoft LLC.

Golang Engineers

Wilmington, DE · Remote

GoLang Developer family:Calibri,sans -serif">Location : 100% remote Duration : Longterm family ... software applications using Golang (Go) • Experience working with APIs, especially RESTful ...

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Remote Wso2 Software Engineer information

What does a Remote WSO2 Software Engineer do?

A Remote WSO2 Software Engineer designs, develops, and maintains integration solutions using WSO2 products such as the WSO2 Enterprise Integrator, API Manager, and Identity Server. Their main responsibilities include creating APIs, integrating disparate systems, implementing security protocols, and troubleshooting integration issues. Working remotely, they collaborate with global teams, follow agile development practices, and often participate in client meetings to gather requirements and deliver technical solutions that enhance system interoperability.

What is the difference between Remote Wso2 Software Engineer vs Remote API Developer?

AspectRemote Wso2 Software EngineerRemote API Developer
Required CredentialsBachelor's in CS, Wso2 certifications preferredBachelor's in CS or related, API development certifications
Work EnvironmentCollaborative, Agile teams working on middleware solutionsDevelopment-focused, often in cloud or enterprise settings
Industry UsageIT, telecommunications, enterprise softwareSoftware companies, tech startups, enterprise services

Remote Wso2 Software Engineers focus on implementing and maintaining Wso2 middleware solutions, while Remote API Developers primarily design and develop APIs. Both roles require technical expertise, but Wso2 Engineers often work with specific middleware platforms, whereas API Developers focus on API lifecycle management. Understanding these differences helps candidates target the right roles based on their skills and career goals.

What are some common challenges faced by Remote Wso2 Software Engineers and how can they be addressed?

Remote Wso2 Software Engineers often encounter challenges such as coordinating with distributed teams across time zones, ensuring consistent deployment standards, and troubleshooting complex integration issues without immediate in-person support. To address these, it's important to leverage robust communication tools, participate in regular virtual meetings, and maintain clear documentation. Additionally, staying up to date with Wso2 platform updates and actively engaging in the Wso2 community can help in resolving technical roadblocks efficiently.

What are the key skills and qualifications needed to thrive as a Remote Wso2 Software Engineer, and why are they important?

To excel as a Remote Wso2 Software Engineer, you need strong programming skills (Java, XML), experience with integration platforms, and a solid understanding of WSO2 products and APIs, often backed by a degree in computer science or related certifications. Familiarity with tools like WSO2 Enterprise Integrator, API Manager, and CI/CD systems is typically required. Excellent problem-solving, communication, and self-motivation are vital soft skills for effective remote collaboration and troubleshooting. These competencies ensure robust integration solutions, seamless teamwork, and the ability to deliver reliable results in distributed environments.
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Remote Wso2 Software Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Middletown, DE • Remote

Full-time

Posted 10 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply