About the Role
We are seeking an experienced and passionate Senior Software Engineer to join our core engineering team. In this role, you will design, build, and scale high-performance backend services that power our enterprise Agentic AI platform. You will tackle complex technical challenges, architect robust systems, and work on cutting-edge features that seamlessly integrate AI agents into enterprise workflows.
As a Senior Software Engineer at Gloat, you will collaborate closely with product managers, and cross-functional engineering teams. You will take full ownership of end-to-end feature delivery from initial system design and API definition to production monitoring and optimization - ensuring our platform maintains top-tier reliability, security, and execution velocity.
Skills
Responsibilities
Design, architect, and maintain highly scalable, high-throughput backend services and distributed systems.
Take end-to-end ownership of features and projects, driving them from technical design through to deployment and monitoring.
Build and optimize core APIs and integration layers.
Write clean, testable, and maintainable code, adhering to software engineering best practices (CI/CD, code reviews, automated testing).
Drive architectural decisions, lead technical design discussions, and advocate for system performance and scalability improvements.
Troubleshoot and resolve complex production issues, ensuring high system availability and low latency.
Mentor and guide junior and mid-level software engineers, driving engineering excellence across the team.
Requirements
Must-Have:
7+ years of hands-on experience as a Backend or Full-Stack Software Engineer building complex, scalable distributed systems in production.
Deep technical proficiency in modern backend languages (e.g., Python, Node.js / TypeScript, Go, or Java).
Practical experience building or integrating AI agent frameworks, LLM applications, or vector databases.
Proven ability to execute and deliver high-quality software at a fast pace, specifically within an agentic or highly dynamic AI-driven environment.
Strong expertise in microservices architecture, RESTful APIs, and message-driven architectures (e.g., Kafka).
Hands-on experience with both relational databases (e.g., PostgreSQL) and NoSQL/caching solutions (e.g., MongoDB, Redis).
Deep understanding of cloud infrastructure (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
Strong architectural vision with a proven track record of bringing technical projects from concept to production deployment.
Outstanding problem-solving skills, ownership mindset, and strong collaborative skills.
Nice-to-Have:
Experience building systems for large-scale data integration from complex enterprise platforms (e.g., SAP, Workday).
Experience with Infrastructure as Code (Terraform, Helm, ArgoCD).
Benefits
