Senior Software Engineer (React & .NET)

Senior Software Engineer (Senior SaaS Application Developer)

Experience Level: 7+ Years of full-stack engineering experience in scaleable, robust SaaS applications development.

Employment Type: Full-time

Location: 100% Remote (Bangladesh)

Work hours: 8 hours/Day, 5 days/Week

Salary: 170K BDT/month

(Salary will be determined based on applicant's existing salary, current profile, relevant skills/expertise and proven engineering experience that they are bringing)

About ZeuZ (Automation Solutionz)

At ZeuZ, we don’t just test software- we push the boundaries of automation engineering. Our platform is built from the ground up to tackle some of the most complex QA challenges, including custom-built UI inspectors, highly durable AI-powered element locators, and cross-environment adaptability (offline, enterprise systems, etc). We're actively integrating AI/LLM features into practical automation workflows.

If you're a problem-solver who thrives in an environment where innovation is constant and engineering challenges are unique, ZeuZ is where you’ll want to be.

Role summary

We are seeking a technically strong and strategically driven Senior SaaS Application Developer to lead the architecture and evolution of complex, cloud-native SaaS platforms. This role requires deep full-stack expertise, architectural ownership, hands-on execution, and technical mentorship. You will drive end-to-end system design using React and modern frontend technologies, along with backend services built on .NET, GO, and microservices architecture. The focus is on building scalable, resilient, high-performance systems while following best practices in code quality, DevOps, CI/CD, Docker, and cloud deployments on AWS/Azure.

The role also includes leading AI integration within enterprise SaaS environments, evaluating third-party AI models, guiding AI agent implementation, and integrating intelligent solutions into existing systems. Strong knowledge of RESTful APIs, SQL/NoSQL databases, serverless architecture, and SaaS principles is essential.

You will collaborate with cross-functional teams, provide technical leadership, conduct code reviews, and establish engineering standards to ensure scalability, maintainability, and performance in a fast-paced, innovation-driven environment.

Core responsibillities

• Design, develop, and maintain scalable SaaS applications using full stack technologies.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks, troubleshoot and debug systems to ensure optimal performance.
• Adopt best practices to maintain code quality, organisation, and improve automation.
• Develop responsive, accessible front-end components.
• Implement back-end services and APIs using .NET, GO and similar technologies.
• Work collaboratively with the Operations teams and provide technical guidance.
• Collaborate with cross-functional teams to understand user needs and deliver effective AI agent solutions.
• Integrate AI solutions with existing enterprise systems.
• Evaluate third-party models and services, understanding their strengths and weaknesses.
• Maintain and improve a platform for evaluating AI agents.
• Participate in code reviews and follow standard development practices using tools like Git and Confluence.

Core requirements

• B.Sc./M.Sc. in Computer Science / Computer Science and Engineering / Software Engineering
• 7+ years of experience in full stack development.
• Fluent in English (Written & Verbal)
• Proficiency in React and knowledge of other front-end frameworks like Angular or Vue.js.
• Strong understanding of SaaS architecture and cloud services.
• Experience with RESTful APIs and microservices architecture.
• Familiarity with database technologies such as SQL Server, PostgreSQL and NoSQL.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
• Ability to work in a fast-paced and agile environment.
• Experience with CI/CD pipelines and DevOps practices.
• Proficiency in containerisation technologies such as Docker
• Familiarity with serverless architecture and AWS/Azure services.
• Experienced with AI productivity tools and how to utilise them.

Benefits:

• Competitive salary and performance bonuses.
• Flexible working hours and remote work options.
• Professional development opportunities.
• Collaborative and inclusive work environment.