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Remote Lead Software Engineer Jobs in Raleigh, NC

Redhat

Senior Software Engineer

Raleigh, NC · On-site +1

$159K - $195K/yr

S. or foreign equivalent) in Computer Science, Electronics Engineering or related field and five ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

SAS

Sr Software Developer

Cary, NC · Remote

$51 - $67.25/hr

Senior Software Developer - HIE Production Support (Healthcare Interoperability)- Remote US ... Perform detailed root cause analysis (RCA) for production incidents and lead remediation through ...

Digitalturbine

Software Engineering Manager

Durham, NC · On-site +1

As a Software Engineering Manager, you will lead full-stack engineering pods responsible for ... Background managing distributed/remote teams across international time zones (US, Europe, Israel)

NC SECU

Software Engineer II - Salesforce

Raleigh, NC · Remote

$54 - $71.50/hr

Remote Opportunity but candidates must reside in North Carolina or any of the contiguous states ... Position Overview We are looking for a Software Engineer II - Salesforce to support the ...

TEKsystems

Data Engineer

Durham, NC · Remote

$150K/yr

Software Engineer → Data Engineer → AI Platform Engineer Additional Skills & Qualifications This role is 100% remote but needs to sit in one of the following states: AL, AZ, CA, CO, CT, DE, FL ...

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Remote Lead Software Engineer information

See Raleigh, NC salary details

$80.7K

$141.8K

$192.5K

How much do remote lead software engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote lead software engineer in Raleigh, NC is $141,817.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $163,800.00 per year, depending on experience, location, and employer.

What is a remote lead software engineer?

A Remote Lead Software Engineer is responsible for leading a team of developers while designing, developing, and maintaining software solutions from a remote location. They provide technical guidance, manage project timelines, and ensure code quality through best practices and code reviews. Additionally, they collaborate with cross-functional teams to define requirements, troubleshoot issues, and optimize performance. This role requires strong leadership, communication, and problem-solving skills to manage remote teams effectively.

What are the key skills and qualifications needed to thrive as a remote lead software engineer?

To thrive as a Remote Lead Software Engineer, you need advanced proficiency in software architecture, programming languages, and team leadership, typically supported by a bachelor's or master's degree in computer science or a related field. Hands-on experience with tools such as Git, CI/CD pipelines, cloud platforms (like AWS or Azure), and agile project management software, as well as certifications like AWS Certified Solutions Architect, are often required. Exceptional communication, mentorship, and problem-solving abilities are important soft skills for managing a distributed team. These skills are crucial to effectively lead technical projects, drive team success, and deliver high-quality software solutions in a remote environment.

What are the typical challenges faced by a remote lead software engineer, and how can they be addressed?

Remote Lead Software Engineers often navigate challenges such as coordinating distributed teams across different time zones, ensuring clear and consistent communication, and maintaining high productivity without in-person supervision. To address these, successful leads leverage robust collaboration tools, establish regular check-ins or stand-ups, and set clear expectations and documentation standards. Emphasizing transparency, proactively identifying and resolving blockers, and fostering a culture of trust and accountability are also key strategies. With the right practices, remote leads can build strong, cohesive teams and deliver complex projects efficiently.

What are popular job titles related to Remote Lead Software Engineer jobs in Raleigh, NC?

For Remote Lead Software Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Lead Software Engineer jobs in Raleigh, NC look for?

The top searched job categories for Remote Lead Software Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Lead Software Engineer jobs?

Cities near Raleigh, NC with the most Remote Lead Software Engineer job openings:

Remote Lead Software Engineer jobs near you
Infographic showing various Remote Lead Software Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 21% In-person, and 79% Remote job distribution, with an average salary of $141,817 per year, or $68.2 per hour.

Senior Machine Learning Engineer, Analytics Center of Excellence (Remote/WFH)

Durham, NC • On-site, Remote

IQVIA, Inc.
Health Care and Social Assistance • 10K+ employees
Learn more about IQVIA, Inc.external

Full-time

Posted 6 days ago

IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

63rd of 226 rated it services

Job description

As one of our Senior Machine Learning Engineers, you will lead the design and development of ML applications across our product portfolio, with a strong focus on generative AI and large language model (LLM) solutions. You will be a hands-on technical leader, providing architecture and shaping coding standards. You will evangelize best practices for software engineering including design, development, and lifecycle maintenance, and will partner with multiple software engineering teams to encourage practices like code reusability, shared libraries, UX-driven design, and a culture of continuous improvement.
You will help guide the transformation of machine learning research domain expertise in the areas of human data into viable prototypes. Your technical leadership will enable our Machine Learning Engineers to build and train new production-grade algorithms that can learn from complex, high-dimensional data to uncover patterns from which machine learning models and applications can be developed. Your ability to research current and emerging industry tools, techniques, and algorithms, and share these findings with colleagues will prove invaluable to your team's success.
You will meet frequently with stakeholders, product managers, engineering managers, data scientists, and other individual contributor engineers to understand a wide array of technical and business impacting variables and distill these into strategic and tactical choices that our Machine Learning Engineering teams will use to develop and improve software products for our customers.
Along with your primary directive of working across the product portfolio to support multiple scrum teams, you will also be expected to work with external customers either as a consultant or as a solution Machine Learning Engineer. There will also be opportunities to prepare and submit conference and journal articles.
Essential Requirements:
  • Familiarity with traditional ML algorithms (classification, regression) and MLOps processes
  • Experience with building, testing, measuring, and deploying machine learning models in production
  • Experience with LLM engineering, including:
    - Fine-tuning foundation models (GPT-4, Claude, open-source LLMs)
    - Implementing Retrieval-Augmented Generation (RAG) systems
    - Prompt engineering and LLM evaluation frameworks
  • Expertise in building generative AI applications:
    - Development of multimodal AI solutions (text, image)
    - Working with vector databases and embedding models
    - Context window optimization and token management
  • Prior engineering project leadership using relevant skills and technologies:
    - Python (Scikit-learn, TensorFlow, PyTorch, Pandas, Numpy, Scipy)
    - SQL, Linux/Mac command-line tools
  • Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)
  • Previous experience of owning, maintaining, and enhancing software data products
  • Attention to clarity of code, ease of development, and correctness of implementations
  • Good knowledge of software development best practices including testing, continuous integration, and DevOps tools
  • Experience with mentoring and training junior team members, especially pair programming
  • STEM-related degree (Bachelor's, Master's or Doctorate)
  • 5-8 years' experience working on creating machine learning algorithms for production purposes

Preferred Requirements:
  • Advanced LLM infrastructure experience:
    - Orchestration frameworks for complex LLM workflows
    - Model quantization and optimization techniques
    - Experience implementing model guardrails and safety mechanisms
  • Responsible AI implementation:
    - Hallucination mitigation strategies
    - Evaluation frameworks for generative model outputs
    - Bias detection and mitigation techniques
  • Experience with emerging architectural approaches (mixture of experts, agent frameworks)
  • Knowledge of model distillation and efficient fine-tuning methods
  • Experience with clinical domain and with regulated data
  • Experience with large language models for healthcare applications
  • Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker
  • Experience working with large, real-world datasets
  • Demonstrated in-depth understanding of product development lifecycle
  • Demonstrated aptitude for and interest in peer mentorship
  • Experience deploying code into production through CI/CD tools
  • Knowledge of biostatistics/life sciences/healthcare technology
  • Knowledge of UX principles
  • Prior management training preferred but not required

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
The potential base pay range for this role, when annualized, is $111,400.00 - $278,500.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

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Hours and flexibility

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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