Staff Software Engineer, Backend at Globality, Inc.

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

250000.0

Posted On

25 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Development, Platform Architecture, Scalability, Python, Java, Spring Boot, AWS, Docker, Kubernetes, SQL, ETL, CI/CD, Microservices, LLMs, Data Systems, Performance Tuning

Industry

Software Development

Description

Globality was founded with a simple yet ambitious goal: to use AI to transform enterprise spending into a smarter, fairer process—creating more efficient and inclusive markets worldwide. Nearly a decade later, our agentic AI solution is reshaping how the world’s largest enterprises spend, transforming procurement into a guided, insight-led process that’s faster, smarter, and better for business. Our mission is to revolutionize enterprise procurement by leveraging AI to create smarter, fairer, and more efficient markets. At the helm of Globality is a distinguished leadership team and board of directors, each bringing decades of experience from leading global enterprises. Their collective expertise in technology, finance, and global operations guides Globality's strategic direction and reinforces our commitment to innovation and excellence in enterprise procurement. Our culture is built on trust, collaboration, and innovation, fostering an environment where every individual feels valued and included. Bring your expertise, passion, and perspective—together, we’re shaping the future of enterprise spending. Role Summary: We’re seeking a Staff 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. What you will be doing: 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. Please note this is a hybrid role based out of our Palo Alto office and requires a minimum of 4 days in office. What we are looking for: Bachelor’s or Master’s in Computer Science, Engineering, or related field. 8+ 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. Preferred: 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. 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.

Responsibilities

The engineer will architect and implement scalable, high-performance microservices platforms using Python and Java, focusing on reliability and integration with AI/data workflows. Key duties include building and deploying applications on AWS using containerization, optimizing SQL data systems, and developing tooling for integrating Large Language Models (LLMs).