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Lead Software Engineer

2 months ago

Columbia, South Carolina, United States HireNetworks Full time

Company Overview:

HireNetworks is a pioneering organization in the field of artificial intelligence, focusing on streamlining operations within the healthcare sector. We are recognized for our advanced solutions in managing intricate claims processes and are dedicated to creating adaptable platforms for handling various forms of documentation, including medical records and insurance claims, by harnessing the capabilities of Machine Learning and Large Language Models.

Position Overview:

We are in search of a Principal Software Engineer who is eager to contribute to a rapidly expanding enterprise within the healthcare domain. In this role, you will collaborate with a talented group of data scientists and engineers, working together on innovative machine learning solutions and their implementation in automated document management. We value individuals who are passionate about solving practical challenges and appreciate the flexibility and dynamism of our work culture. This position is hands-on, requiring you to engage in coding and development from the outset. There is also significant potential for career growth, whether you wish to remain in a principal engineering capacity or transition into a managerial role as the company evolves.

Key Responsibilities:

  1. Designing and implementing scalable and secure functionalities for our machine learning-driven SaaS platform.
  2. Managing projects from inception to completion, including requirements gathering, architectural design, testing, and deployment.
  3. Ensuring high availability and responsiveness of production services through automated monitoring and alerting.
  4. Contributing to team culture by sharing insights, practices, and potential solutions to identified challenges.
  5. Integrating user feedback and industry standards to develop an intuitive and impactful product.
  6. Writing maintainable, reusable, and well-documented code to support long-term project sustainability.
  7. Collaborating with internal teams to identify and address unique machine learning challenges.

Technologies Utilized:

  1. Programming languages: Python, JavaScript/Typescript, and Go
  2. Data management tools: PostgreSQL, Kafka, RabbitMQ, Redis, and similar technologies
  3. Web frameworks: Python frameworks such as Django, Flask, and FastAPI
  4. Front-end technologies: Tailwind CSS and Highcharts
  5. Automated testing tools: Playwright and PyTest
  6. Containerization and orchestration: Docker, Kubernetes, Gitlab, CI/CD, GitOps, Datadog
  7. Cloud platforms: AWS and Azure

Ideal Candidate Profile:

  1. Proficient in several of the programming languages, frameworks, and technologies mentioned above.
  2. Experience in developing and maintaining internet-facing SaaS applications within a microservices architecture across various cloud platforms.
  3. Familiarity with handling sensitive data, ensuring robust security and compliance measures.
  4. Experience in distributed systems that process large datasets.
  5. Knowledge of continuous integration, automated testing, and security scanning practices.
  6. Commitment to producing well-tested, secure, and thoroughly documented code.
  7. Experience in a data-driven environment that prioritizes service reliability and stability.
  8. Ability to support the resolution of production issues and security incidents.
  9. Strong problem-solving skills and a proactive approach to challenges.
  10. Willingness to learn and adapt to new technologies as needed.
  11. Excellent communication skills and a collaborative mindset.