Senior Backend Engineer - Autonomous AI Platform

Job Summary

We are building the next generation of autonomous, AI-powered enterprise systems, enabling organizations to automate complex workflows, derive insights from vast amounts of data, and unlock new levels of productivity through intelligent agents.We are looking for an experienced Senior Backend Engineer to help design, build, and scale our cloud-native SaaS platform. You will be part of a highly skilled engineering team developing distributed systems that power autonomous agentic workflows for enterprise customers worldwide.This is an opportunity to work at the intersection of cloud computing, large-scale distributed systems, and AI, building production-grade services that leverage cutting-edge technologies and modern engineering practices.

Responsibilities:

Design, develop, and maintain scalable backend services and APIs.

Build cloud-native SaaS solutions that serve enterprise-scale workloads.

Architect and implement distributed systems with a focus on reliability, performance, and security.

Develop and operate microservices running on Kubernetes.Collaborate with product managers, architects, AI engineers, and SRE teams to deliver end-to-end solutions.

Design and optimize data models, storage layers, and database performance.Integrate AI services and agentic workflows into core platform capabilities.

Contribute to technical design reviews, code reviews, and engineering best practices.Drive operational excellence through monitoring, observability, automation, and CI/CD pipelines.

Stay current with emerging technologies in cloud computing, distributed systems, and AI.

Job Requirements

8+ years of software development experience with a strong focus on backend systems.

Strong proficiency in Node.js and TypeScript.

Hands-on experience building and operating cloud-based SaaS platforms.

Experience designing and developing distributed systems and microservice architectures.

Deep knowledge of AWS services and cloud-native application development.

Experience with Kubernetes (K8s) and containerized workloads.

Strong experience with relational databases such as PostgreSQL, MySQL, or SQL Server.

Experience with RESTful APIs and event-driven architectures.

Proficiency with GitHub, CI/CD pipelines, and modern software development practices.

Experience working with AI-powered applications or integrating AI services into production systems.

Strong problem-solving skills and ability to drive complex technical initiatives.

Preferred Qualifications

Experience with Microsoft Azure and/or Google Cloud Platform (GCP).

Proven track record of deploying and operating AI/ML workloads in production.

Experience with agentic systems, AI orchestration frameworks, RAG architectures, or LLM-based applications.

Knowledge of observability and monitoring tools.

Experience with infrastructure-as-code and automation technologies.

Familiarity with security, compliance, and enterprise-scale software requirements.

What We Offer

The opportunity to build cutting-edge autonomous AI systems for enterprise customers.

A highly technical and collaborative engineering culture.

Ownership of large-scale, impactful projects.

Exposure to the latest advancements in AI, cloud infrastructure, and distributed computing.

Competitive compensation and growth opportunities.

If you're passionate about cloud technologies, distributed systems, and the future of autonomous AI, we'd love to hear from you.