SaaS Backend/Platform Engineer at TechX Corporation

, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

28 Sep, 26

Salary

0.0

Posted On

30 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Go, FastAPI, Echo, AWS, Microservices, Docker, SQL, NoSQL, Kafka, SQS, SNS, CI/CD, Integration Architecture, Backend Development, AI/LLM Systems

Industry

IT Services and IT Consulting

Description

Company Overview: At TechX, we are pioneers in delivering cutting-edge solutions that empower businesses to thrive in today’s digital landscape. With a strong focus on Cloud Transformation (AWS), Data Modernization, and Generative AI, we bring unparalleled expertise to drive innovation, efficiency, and growth for our clients. We specialize in banking and financial services, retail, manufacturing, and transportation, delivering impactful solutions that address industry-specific challenges and significant market shifts. Together, we’ll build a future where innovation knows no limits. Job Overview: The SaaS Backend/Platform Engineer is responsible for designing, developing, and maintaining scalable backend services and platform components that power our AI platform. You will work closely with Product, Delivery, and Client Success teams to translate business and product requirements into robust technical solutions, contributing to system design, implementation, deployment, and continuous improvement, ensuring solutions are scalable, maintainable, and aligned with customer needs. Key Responsibilities: Service & Platform Delivery Design, develop, and maintain scalable backend services and platform components for AI products. Consult and support the project team to incorporate integration architecture into the overall enterprise architecture. Design and develop APIs and integration interfaces to requirements, following defined coding standards. Ensure code quality, performance, and security through proper testing and code reviews. Investigate and troubleshoot technical issues, providing timely resolutions. Support production environment preparation and go-live. Collaborate with Front-end, Product, and AI teams to deliver new features. Sales & Solution Support Support Client Success across pre-sales activities — presentations, proposals, demos, POC workshops, and technical materials that help customers adopt our products and services. Capability Building Achieve target certifications aligned with the company’s core competency plan. Attend mandatory training programs for personal and technical development. Key Requirements: Education & Experience Bachelor’s degree in Information Technology, Computer Science, Software Engineering, or a related field. Minimum of 3 years of experience in backend development. Experience with microservices architecture and designing scalable systems. Basic experience with, or strong interest in, AI / LLM-based systems. Working knowledge of AWS services. Technical Skills Strong experience with Python or Go. Hands-on experience with FastAPI or Echo (or similar frameworks). Familiarity with Docker and container-based development. Solid understanding of both SQL and NoSQL databases. Experience with event-driven architecture (Kafka, SQS, SNS). Understanding of CI/CD concepts and environments. Able to assist with integration architecture - data flow, technical design documents, and basic integration specifications. What We Offer: Innovative Environment: A dynamic and collaborative work environment where innovation is encouraged. Professional Growth: Opportunities for professional growth and development through continuous learning and exposure to cutting-edge technologies. Competitive Package: Competitive salary and benefits package Impactful Work: The chance to work on cutting-edge projects with industry-leading clients, making a tangible impact on their business success. Apply now! Due to the high volume of applicants, only shortlisted candidates will be contacted. We apologize for this inconvenience!

Responsibilities

Design, develop, and maintain scalable backend services and platform components for AI products. Collaborate with cross-functional teams to translate business requirements into robust technical solutions and support pre-sales activities.