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Remote Fidelity Software Engineer Jobs in Minnesota

Lancesoft

Developer

Minneapolis, MN · On-site +1

$75.75 - $98.48/hr

Remote . We are seeking a Senior Full Stack Software Engineer to support a large enterprise application portfolio within an indirect planning engineering environment. This team maintains and ...

Huntington

Data Engineer

Minnetonka, MN · On-site +1

$63K - $124K/yr

Develop or modify software application design and specific modules. * Conduct testing of new or ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Huntington

Data Engineer

Minnetonka, MN · On-site +1

$63K - $124K/yr

Develop or modify software application design and specific modules. * Conduct testing of new or ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

ImageTrend

Software Developer 2

Eagan, MN · On-site +1

$80K - $95K/yr

Under the direction of the Chief Architect, the Software Developer 2 will play a key role in the ... our Remote Work Policy. Deadline to apply is at least 3 days after the posting date listed.

Leidos

Senior DevSecOps Engineer

Eagan, MN · Remote

$106K - $146K/yr

... remote and high-dependency aviation environments. These efforts focus on delivering mission ... Working closely with software engineers, Cloud Systems Owners, systems engineers, cybersecurity ...

New

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Remote Fidelity Software Engineer information

What are the key skills and qualifications needed to thrive as a remote fidelity software engineer, and why are they important?

To thrive as a Remote Fidelity Software Engineer, you need a solid background in software development, proficiency in programming languages like Java or Python, and a bachelor's degree in Computer Science or a related field. Familiarity with financial services platforms, cloud computing tools, version control systems like Git, and relevant certifications (such as AWS Certified Developer) are highly valuable. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and project delivery. These skills and attributes ensure high-quality, secure software solutions and seamless teamwork in a distributed work environment.

What is the difference between Remote Fidelity Software Engineer vs Remote Network Security Engineer?

AspectRemote Fidelity Software EngineerRemote Network Security Engineer
Required CredentialsBachelor's in CS or related field, coding certificationsBachelor's in CS, cybersecurity certifications (e.g., CISSP)
Work EnvironmentDeveloping software, coding, testing in remote teamsMonitoring, securing networks, incident response remotely
Employer & Industry UsageTech companies, finance, healthcareIT firms, cybersecurity providers, large enterprises
Common Search & ComparisonYesYes

The Remote Fidelity Software Engineer and Remote Network Security Engineer roles share similarities in credentials and remote work settings. However, the Software Engineer focuses on software development, while the Network Security Engineer specializes in protecting network infrastructure. Both roles are vital in tech industries and often searched together by professionals seeking remote tech positions.

What is a remote fidelity software engineer?

Remote Fidelity Software Engineers are technology professionals who design, develop, and maintain software solutions for Fidelity Investments while working from a remote location. They collaborate with teams, write code, troubleshoot issues, and ensure the reliability and security of financial applications and platforms. These engineers often use modern programming languages, cloud technologies, and agile methodologies to deliver high-quality products. Working remotely, they leverage digital communication tools to stay connected and productive. This role requires strong technical skills, problem-solving abilities, and a commitment to continuous learning.

How do remote fidelity software engineers typically collaborate with on-site team members to ensure seamless project delivery?

Remote Fidelity Software Engineers often leverage a variety of communication and project management tools—such as Slack, Jira, and Zoom—to maintain close collaboration with on-site colleagues. Regular stand-up meetings, code reviews, and pair programming sessions are commonly scheduled to keep everyone aligned and to address any technical challenges promptly. Proactive communication and thorough documentation are key to ensuring that remote team members stay integrated with project goals and timelines. This approach helps remote engineers contribute effectively while maintaining strong working relationships with the broader team.
What are the most commonly searched types of Fidelity Software Engineer jobs in Minnesota? The most popular types of Fidelity Software Engineer jobs in Minnesota are:
What are popular job titles related to Remote Fidelity Software Engineer jobs in Minnesota? For Remote Fidelity Software Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Fidelity Software Engineer jobs in Minnesota look for? The top searched job categories for Remote Fidelity Software Engineer jobs in Minnesota are:
Remote Fidelity Software Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Saint Cloud, MN • Remote

Full-time

Re-posted 18 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