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-timeLocation: 100% Remote (Bangladesh)Work hours: 8 hours/Day, 5 days/WeekSalary: 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 summaryWe 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 responsibillitiesDesign, 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 requirementsB.Sc./M.Sc. in Computer Science / Computer Science and Engineering / Software Engineering7+ 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 DockerFamiliarity 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.