Senior Full Stack Developer (Golang & AI Engineering)

Job Description

We are seeking an experienced Senior Full Stack Developer (Golang & AI Engineering) to design, develop, and optimize scalable backend systems and full stack applications. This role combines strong Golang engineering expertise with technical leadership, cloud-native infrastructure, DevOps practices, and AI-driven software development initiatives.

The ideal candidate is passionate about building scalable systems, improving engineering efficiency, and driving modern AI-assisted development practices across the organization.

Key Responsibilities

• Design, develop, maintain, and optimize scalable backend systems and full stack architectures.

• Design, develop, and maintain high-performance backend services, distributed systems, and APIs primarily using Golang.

• Lead backend technical architecture planning, including technology selection, system architecture design, engineering standards, and best practices.

• Design and optimize SQL / NoSQL databases, including data modeling, query optimization, and performance tuning.

• Build and maintain reusable backend infrastructure, service frameworks, API standards, code standards, and shared modules.

• Drive and implement AI-assisted software development practices to improve engineering productivity, code quality, and delivery efficiency.

• Act as the team's AI Champion / AI Driver to promote AI adoption across the software development lifecycle.

• Standardize and scale proven AI development workflows across the organization, including AI Coding, AI-assisted Architecture Design, AI-assisted Testing, AI-assisted Documentation, and Development Workflow Automation.

• Build and manage Infrastructure as Code (IaC) using tools such as Terraform and Ansible.

• Develop and maintain CI/CD automation pipelines using Jenkins, GitLab CI/CD, Azure DevOps, or similar tools.

• Establish and maintain monitoring, logging, alerting, and observability systems to ensure platform reliability and stability.

• Troubleshoot and resolve complex backend, infrastructure, deployment, and performance issues, including root cause analysis and optimization.

• Drive technical governance initiatives including technical documentation, architecture decision records, code review standards, security best practices, and technical debt management.

• Collaborate closely with Product Managers, Designers, Frontend Engineers, DevOps Engineers, and cross-functional teams to deliver scalable and high-quality solutions.

• Provide technical mentorship, training, and guidance to junior developers and engineering team members.

• Ensure systems meet performance, scalability, maintainability, security, and compliance requirements.

• Continuously evaluate emerging technologies in Golang, cloud-native engineering, DevOps, AI Engineering, and software development for potential internal adoption.

• Perform other related duties as assigned by the company.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.

• 5+ years of full stack or backend software engineering experience, with strong hands-on expertise in Golang.

• Strong understanding of distributed systems, concurrency, microservices architecture, and backend performance optimization.

• Experience building scalable backend platforms, APIs, and cloud-native applications.

• Strong knowledge of SQL / NoSQL databases and performance optimization.

• Hands-on experience with cloud platforms, CI/CD pipelines, and Infrastructure as Code tools.

• Experience with DevOps, monitoring, logging, and observability tools.

• Familiarity with AI-assisted software development tools and workflows is highly preferred.

• Strong problem-solving, communication, and technical leadership skills.

• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications

• Experience leading engineering initiatives or technical architecture projects.

• Experience implementing AI-assisted engineering workflows in production environments.

• Familiarity with Kubernetes, Docker, and cloud-native technologies.

• Experience with Agile/Scrum development methodologies.