Software Architect

About the company:

Gloat puts people and companies in motion. Our Agile Workforce Operating System is helping the world's most renowned enterprises become dynamic organizations, future-fit for any eventuality, and poised for continuous growth and innovation in today's ever-changing economic climate. We deliver AI-powered intelligence, infrastructure, and applications that enable organizations to effectively tackle change with agility, unlock capacity and productivity, and reduce workforce risk. Today we support industry leaders around the world including HSBC, Spotify, Nestle, Standard Chartered Bank, Schneider Electric, and many more.

Life at Gloat:

Gloat is a revolutionary startup with a global workforce. We have offices in Tel Aviv, New York City and London and work with customers around the globe. We value collaboration, innovative thinking, and curiosity and we’re looking for bright, driven, and passionate people to grow with us. If you care about empowering businesses and people to reach their potential, you’re in for a fun ride.

Who we’re looking for:

We are looking for a seasoned Software Architect with a passion for designing scalable, high-performance systems. This role requires deep technical expertise, strategic thinking, and strong leadership skills to drive architectural decisions and influence the evolution of our technology stack. If you thrive in a dynamic environment and enjoy solving complex engineering challenges, we want to hear from you.

Requirements:

Qualifications:

2+ years of experience in technical leadership within software development.
5+ years of experience in backend development and/or architecture, with a strong focus on designing scalable systems.

Technologies We Use:

We work with a range of advanced technologies, and familiarity with any or all of them is a plus:

AWS for cloud infrastructure and services.
Kubernetes for container orchestration and managing scalable applications.
Microservices architecture for building resilient, distributed systems.
Python (with frameworks like FastAPI, Django, and Celery) for backend development.
MongoDB for handling large-scale, unstructured data.
Graph Databases for complex data relationships.
Vector Databases optimized for machine learning and high-performance querying.
React.js SPA for building responsive, dynamic user interfaces.
Generative AI and RAG (Retrieval-Augmented Generation) for incorporating LLMs into the product.

At Gloat, we believe that building the most important company in the history of human capital begins with having a diverse and inclusive workforce ourselves. This means that we look for individuals who can bring unique strengths, perspectives, skills, and backgrounds to our existing teams. Gloat is proud to be an Equal Opportunity Employer, and does/will not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

Responsibilities:

Job Responsibilities:

Provide architectural guidance and technical leadership to software development teams, with a primary focus on backend systems built in Python.
Drive the design and implementation of scalable, resilient, and high-performance system architectures.
Collaborate with engineering and product teams to define and execute the technology roadmap.
Lead hands-on development of critical platform components, ensuring best practices in software design and development.
Participate in and/or lead technical design discussions, code reviews, and performance optimizations.
Define and enforce architectural principles, ensuring maintainability, scalability, and security across the system.
Research and integrate emerging technologies, including AI-driven capabilities, into our platform.
Contribute to the planning and development of AI Agent infrastructure/chain to enhance system intelligence and automation.