Sr. Software Engineer, Backend

Globality, Inc. • Bozeman, MT

3d • $150,000 - $250,000 • Hybrid

About The Position

Globality is looking for a Sr. Software Engineer with deep expertise in back-end development and scalable platform architecture. This role is ideal for someone passionate about building high-performance systems that enable AI innovation through robust infrastructure, intuitive tooling, and seamless integration of cutting-edge models. You’ll be at the forefront of operationalizing AI—designing services and data systems that empower teams to build, deploy, and iterate on intelligent applications with speed and reliability. You will work closely with product, design, and backend engineers to ship features across our core platform products, and you will be expected to actively leverage AI tools throughout your development workflow.

Requirements

• Bachelor’s or Master’s in Computer Science, Engineering, or related field
• 5+ years of experience in back-end software engineering, with proven ability to design and scale distributed systems
• Strong proficiency in Python and Java, with experience in Spring Boot and object-oriented design
• Hands-on experience with AWS cloud services, Docker, and Kubernetes in production environments
• Solid understanding of SQL databases, data modeling, and performance optimization
• Familiarity with microservices architecture, CI/CD pipelines, and infrastructure automation
• Excellent communication and collaboration skills across engineering and product teams

Nice To Haves

• Experience with large-scale data pipelines (e.g., Apache Spark, Kafka)
• Knowledge of MLOps principles and AI/ML frameworks (TensorFlow, PyTorch)
• Certifications in cloud platforms or container orchestration
• Awareness of AI ethics, data privacy, and security best practices

Responsibilities

• Architect and implement microservices-based platforms with a strong focus on scalability, performance, and reliability.
• Develop core services using Python, Java, and Spring Boot, and ensure seamless integration with AI and data workflows.
• Build and deploy applications on AWS leveraging services for compute, storage, and networking.
• Implement containerized deployments using Docker and Kubernetes to support CI/CD pipelines and automated scaling.
• Collaborate with data engineering teams to design and optimize SQL-based data systems, ETL pipelines, and feature workflows that feed AI models at scale.
• Drive platform reliability through monitoring, logging, and performance tuning.
• Implement best practices for CI/CD, automated testing, and infrastructure-as-code.
• Build developer tools and abstractions for integrating LLMs and AI models, including orchestration services and prompting frameworks.
• Push the boundaries of platform scalability and performance, ensuring systems can handle large-scale data processing and high-throughput workloads.

Benefits

• We're early to a massive shift.
• The bar is high—and so is the talent.
• You'll have real impact.
• We build together. In person.
• The anticipated annual pay scale for this position is $150,000-$250,000.
• The range listed is just one component of Globality's total compensation package for employees.
• We are an equal opportunity employer and a participant in the E-Verify program.
• We believe diversity makes teams better and that discrimination based on race, gender, or anything else is self-defeating.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior