Sr. Software Engineer, Backend

Posted Yesterday
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Bozeman, MT, USA
In-Office
150K-250K Annually
Senior level
Artificial Intelligence
AI-driven savings for all enterprise spend, guaranteed.
The Role
Design and implement scalable microservices and backend platforms in Python and Java. Build cloud-native deployments on AWS with Docker and Kubernetes, collaborate on SQL-based data systems and ETL, integrate AI/LLM tooling and MLOps, and drive reliability through CI/CD, observability, and performance tuning.
Summary Generated by Built In

Do procurement. Like your mission depends on it.

At Globality, we build agentic technology that transforms how global enterprises source goods and services — autonomously, at scale, and without the inefficiencies that have defined procurement for decades. Our platform interprets purchase intent, generates sourcing materials, evaluates suppliers, and executes negotiation strategies without manual intervention. The interfaces you build are the surface through which that intelligence becomes usable.

The Role

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 workflo

What You Will Do

  • Platform Architecture & Back-End Development:
    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
  • Cloud & Containerization:
    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
  • Data Systems & ETL:
    Collaborate with data engineering teams to design and optimize SQL-based data systems, ETL pipelines, and feature workflows that feed AI models at scale
  • Reliability & Observability:
    Drive platform reliability through monitoring, logging, and performance tuning. Implement best practices for CI/CD, automated testing, and infrastructure-as-code
  • AI Tooling & Integration:
    Build developer tools and abstractions for integrating LLMs and AI models, including orchestration services and prompting frameworks
  • Innovation & Scalability:
    Push the boundaries of platform scalability and performance, ensuring systems can handle large-scale data processing and high-throughput workloads

What You Bring

  • 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 Have

  • 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

Why Globality 

We're early to a massive shift. Enterprise procurement is one of the last major functions to be reshaped by AI—and it’s happening now. This isn’t incremental optimization. We’re rebuilding how decisions get made and how trillions of dollars move through global enterprises.

The bar is high—and so is the talent. This team has built, run, and advised some of the world’s most sophisticated organizations. We care about outcomes, not titles. The people who thrive here take ownership, move fast, and follow through.

You'll have real impact. This role is about creating a playbook, not maintaining. You’ll define strategy, build from zero to one, and see your work translate directly into business impact.

We build together. In person. We’re in the Bozeman office four days a week because the best ideas—and the fastest decisions—happen face to face. One day is yours to work wherever you’re most effective.

The anticipated annual pay scale for this position is $150,000-$250,000. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Globality's total compensation package for employees. This information is provided per the California Equal Pay Act. 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.

Skills Required

  • Bachelor's or Master's in Computer Science, Engineering, or related field
  • 5+ years of experience in back-end software engineering designing and scaling 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
  • 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
  • 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

Globality, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Globality, Inc. and has not been reviewed or approved by Globality, Inc..

  • Healthcare Strength Healthcare coverage is positioned as a priority, described as comprehensive medical, dental, and vision with meaningful employer subsidy and mental health support. Wellness add-ons like gym reimbursements and life/disability coverage are also part of the package.
  • Parental & Family Support Parental leave is described as notably supportive, including extended paid leave for primary caregivers and family-oriented benefits. Childcare-related benefits and family medical leave are also present in the total rewards mix.
  • Equity Value & Accessibility Equity is broadly included in offers, with stock options/RSUs commonly provided and described as a meaningful upside tied to funding and potential growth. Mentions of adjusted option strike prices and vesting-based upside contribute to perceived reward potential.

Globality, Inc. Insights

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The Company
HQ: Palo Alto, CA
98 Employees
Year Founded: 2015

What We Do

Globality was founded with a simple but lofty goal: to use AI to transform enterprise spending into a smarter, fairer process, and create more efficient, inclusive markets around the globe. Globality is the future of enterprise spending: an AI solution that is guaranteed to empower employees, bolster the bottom line, and improve business outcomes. Globality’s enterprise customers are achieving 10%–20% cost savings, 70% efficiency gains, and 20x ROI. For more information visit www.globality.com

Why Work With Us

Globality lives its mission daily, with employees that represent every corner of the world, working together to achieve more inclusive economies. Join our global team using cutting-edge AI to change the way leading companies do business around the world.

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