About this role
Accountabilities: Design, develop, and maintain scalable data pipelines and backend infrastructure supporting data ingestion, processing, and distribution. Build and maintain backend services that integrate with AI Agent systems, including Agent workflows, monitoring pipelines, and observability capabilities. Develop monitoring and alerting solutions to track data quality, pipeline stability, service reliability, and AI system health. Collaborate with AI, Product, Frontend, DevOps, and QA teams to align backend and data infrastructure with platform and AI Agent requirements. Maintain and enhance existing backend services, ensuring continuity, reliability, and performance during ongoing platform evolution. Contribute to scalable distributed systems and microservice architectures while addressing performance, reliability, and operational requirements. Support production systems by identifying issues, improving observability, and contributing to ongoing platform stability and engineering improvements. Requirements 3–6 years of professional backend development experience, with strong and recent hands-on production experience in Golang. Proven experience developing data pipelines, data platforms, or backend systems designed to process data at scale. Experience with AI monitoring, observability tools, Agent engineering, or integrating AI/LLM workflows into production backend systems. Strong understanding of distributed systems, microservice architecture, relational and NoSQL databases, and message-queue technologies such as Kafka. Familiarity with AI Agent frameworks, LLM integrations, or related AI development tooling is an advantage. Bachelor’s degree or higher in Computer Science, Engineering, or a related technical discipline. Strong communication and collaboration skills, with the ability to work effectively across technical and cross-functional teams. Ability to work independently, adapt quickly, and contribute effectively in a fast-paced, product-oriented environment. Benefits Fully remote work arrangement, subject to business and team requirements. Competitive salary and company benefits. Opportunity to work on scalable backend, data infrastructure, and AI-related engineering challenges. Exposure to modern technologies including Golang, distributed systems, data pipelines, AI Agents, LLMs, and observability platforms. Collaboration with experienced, globally distributed engineering and product teams. Opportunities for professional development, continuous learning, and career growth. High-ownership environment with opportunities to contribute to innovative and technically complex projects. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
- LOCATION
- Remote · Australia
- WORK MODE
- Remote
- JOB TYPE
- Full-time
- POSTED
- Sep 22, 2026
Source: Jobgether Careers