Senior Software Engineer

Altela
Chapel Hill, NC

Job brief

Senior Software Engineer

Minimum Years of Experience Required: 6+ Years

Salary range: $140,000 - $170,000

Work Authorization: Candidates must be a Permanent Resident or have existing work authorization in the United States to be considered. We are unable to sponsor work visas for this position.

About the Role: Join our team as a Senior Software Engineer and contribute to the development of cutting-edge software solutions, potentially working on projects that involve AI or machine learning components. You will be involved in the full development lifecycle, from conception to deployment, working collaboratively in an agile environment. We are looking for engineers who are passionate about technology, eager to solve complex problems, and interested in the application of AI in our products.

Key Responsibilities:

  • Design, develop, test, deploy, maintain and improve software, including features that may incorporate AI model outputs or interact with AI services.

  • Manage individual project priorities, deadlines and deliverables within an agile framework.

  • Collaborate with team members, including product managers, designers, and potentially data scientists or ML engineers, to develop and implement new features.

  • Write clean, maintainable, and efficient code.

  • Participate in code reviews and contribute to improving code quality and team standards.

  • Troubleshoot and resolve technical issues.

  • Contribute to the design and architecture of software components.

  • Mentor junior engineers and share technical knowledge.

Qualifications:

  • Minimum 6 years of relevant software development experience.

  • Proficiency in one or more general-purpose programming languages (e.g., Python, C++, JavaScript, Go).

  • Experience with software development best practices, including agile methodologies, testing (unit, integration), and version control (Git).

  • Experience with building and deploying scalable applications, potentially in a cloud environment (AWS, Azure, GCP).

  • Strong analytical and problem-solving skills.

  • Familiarity with integrating with APIs and external services.

  • Exposure to or interest in machine learning concepts or working with AI/ML teams is a plus.

Benefits:

  • Flexible Work Arrangements

  • Professional Development Opportunities

  • Comprehensive Health, Dental, and Vision Insurance

  • 401(k) with company match

  • Generous Paid Time Off and Holidays

  • Paid Parental Leave

Posted 2025-08-20

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