Senior Backend SaaS Engineer (Go, Python, Node.js) (AI)

Location: Hybrid in the United States, with roles listed across offices in New York, Milwaukee, Dallas, Columbus, Kirkland, Cincinnati, Cleveland, Oklahoma City, Austin, Albany, Chicago, St. Pete, Hartford, Pittsburgh, St. Louis, Miami, Sacramento, Raleigh, Minneapolis, Mountain View, Scottsdale, San Francisco, Morristown, Denver, Boston, Philadelphia, Des Moines, Overland Park, Los Angeles, Charlotte, Walnut Creek, Carmel, Seattle, Houston, Arlington, Atlanta, Orlando, Redmond, Bentonville, Beaverton, Nashville, Detroit, and San Diego. Travel may range from 0% to 100% depending on business and client needs.

Annual salary range: $59,100–$205,800, varying by role location and experience.

Company

hirify.global LearnVantage develops enterprise digital learning platforms and workforce transformation solutions, while hirify.global provides technology, cloud, data, AI, and professional services globally.

What you will do

• Design, develop, test, deploy, and maintain scalable backend services, APIs, and microservices for LearnVantage products.
• Build secure, reliable systems supporting enterprise learning, administration, partner, and customer workflows.
• Own technical solutions through architecture, implementation, deployment, observability, troubleshooting, and continuous improvement.
• Build integrations with enterprise platforms, partner systems, and external services.
• Work with relational data models, production databases, containerized applications, and cloud environments.
• Improve performance, scalability, security, resilience, CI/CD, automated testing, and operational readiness.

Requirements

• At least 3 years of professional software engineering experience in a product-oriented live production environment.
• At least 3 years designing, building, and maintaining backend services and microservices using Go, Node.js/TypeScript, or Python, including REST and/or GraphQL APIs, relational databases such as PostgreSQL, and scalable distributed systems.
• At least 3 years of experience with AWS or another major public cloud, including hands-on Docker, Kubernetes, and CI/CD experience.
• At least 2 years developing or supporting enterprise SaaS products or platforms, including authentication, application security, system integrations, and production troubleshooting.
• At least 1 year using AI-assisted software development tools for coding, debugging, technical investigation, testing, or code review.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. An equivalent degree requires at least 12 years of work experience; an Associate’s Degree requires at least 6 years.
• Ability to independently drive technical work from requirements and design through production delivery.
• Strong collaboration, technical problem-solving, troubleshooting, and communication skills with technical and non-technical stakeholders.
• Applicants for employment in the US must have work authorization that does not now or in the future require visa sponsorship.

Culture & Benefits

• Cross-functional collaboration across Engineering, Product, Design, Operations, clients, and partners.
• Medical, dental, vision, life, and long-term disability coverage.
• 401(k), bonus opportunities, paid holidays, and paid time off.
• Inclusive workplace with equal employment and reasonable accommodation commitments.
• Travel requirements may vary from 0% to 100% depending on business need and client requirements.