Description

The role involves designing large‑scale distributed systems, integrating AI models, and leading software standards while mentoring peers.

• Build large‑scale, API‑driven systems with Node.js on AWS.
• Design infrastructure using Terraform and Docker; create CI/CD pipelines.
• Architect event‑driven applications leveraging AWS services (Lambda, SQS, DynamoDB, S3).
• Integrate generative AI and deploy machine‑learning models to production.
• Develop and optimize small classifiers using generative and classical ML techniques.
• Lead software design, enforce development standards, conduct code reviews, and manage releases.
• Collaborate with engineers and AI practitioners across the organization.
• Evaluate emerging AI/ML technologies and scalable architectures for best practices.
• Mentor junior developers.
• Hands‑on deployment of machine‑learning models to production.

Requirements

Candidates must hold a bachelor’s degree and have 5+ years of Node.js production experience, strong AWS and Terraform skills, and solid knowledge of scalable design patterns and GenAI concepts.

Preferred experience includes machine‑learning libraries, model deployment, .NET Core, OpenSearch, Redis, and Kafka.

• Bachelor’s degree from an accredited university.
• 5+ years of production Node.js development on large, mission‑critical applications.
• Strong understanding of scalable design patterns and distributed system architecture.
• Hands‑on experience with core AWS services (Lambda, SQS, DynamoDB, S3).
• Proficiency with Terraform for infrastructure as code.
• Experience with Docker and containerization.
• Expertise in CI/CD pipelines and full development lifecycle.
• Solid grasp of GenAI concepts and classical machine learning fundamentals.
• Ability to design and build event‑driven applications in an agile setting.
• Proficiency in unit and performance testing.
• Proven track record of commitment to previous employers.
• Experience with TensorFlow, PyTorch, scikit‑learn, or Hugging Face Transformers.
• Experience building small classifiers or fine‑tuning models.
• .NET Core development experience.
• Familiarity with OpenSearch, Redis, or Kafka.

Benefits

CoStar offers a collaborative culture, competitive compensation, performance incentives, tuition reimbursement, comprehensive health benefits, retirement matching, stock purchase plan, paid time off, fitness amenities, and diversity & inclusion resources.

The company is an equal opportunity employer and does not provide visa sponsorship.

• Collaborative, innovative culture with professional growth opportunities.
• Competitive salary and performance‑based incentives.
• Tuition reimbursement and internal training.
• Comprehensive healthcare (medical, vision, dental, prescription).
• Life, legal, and supplemental insurance.
• Mental health counseling (virtual & in‑person) for individuals and families.
• Commuter and parking benefits.
• 401(k) plan with matching contributions.
• Employee stock purchase plan.
• Paid time off.
• On‑site or reimbursed fitness center membership, yoga, Peloton, classes.
• Access to Diversity, Equity & Inclusion employee resource groups.
• Complimentary gourmet coffee, tea, fresh fruit, and healthy snacks.

Training + Development

Interview process

Visa Sponsorship

Security clearance