We are looking for a highly motivated Senior Software Engineer to join our group. In this role, you will design and develop large-scale, cloud-native systems that power the global CXone platform.
Beyond building scalable services, we are looking for engineers who embrace AI-augmented development, leverage modern coding agents, and continuously optimize engineering workflows using tools such as Claude Code, GitHub Copilot, and other AI-driven assistants.
You will work in a fast-paced, cloud-first environment where ownership, technical excellence, and intelligent automation are part of everyday engineering.
How will you make an impact?
Quickly onboard to existing systems and become productive in a complex domain
Design, implement, and maintain automation and test frameworks using AWS\Azure technology
Build and evolve performance and scalability solutions
Lead tasks end-to-end, including coordination across R&D, QA, DevOps, and other teams
Drive technical initiatives independently, from requirements to delivery
Analyze system behavior, troubleshoot issues, and lead root-cause analysis
Improve reliability, performance, and maintainability of existing components
Integrate solutions into CI/CD pipelines
Leverage AI tools to improve coding efficiency, quality, and productivity
Collaborate closely with architects and peers to evolve system design
Apply AI-powered coding tools to accelerate development and improve code quality
Leverage coding agents and AI workflows to optimize design decisions, refactoring, testing, and documentation
Contribute to engineering best practices and continuously improve development velocity and reliability.
Beyond building scalable services, we are looking for engineers who embrace AI-augmented development, leverage modern coding agents, and continuously optimize engineering workflows using tools such as Claude Code, GitHub Copilot, and other AI-driven assistants.
You will work in a fast-paced, cloud-first environment where ownership, technical excellence, and intelligent automation are part of everyday engineering.
How will you make an impact?
Quickly onboard to existing systems and become productive in a complex domain
Design, implement, and maintain automation and test frameworks using AWS\Azure technology
Build and evolve performance and scalability solutions
Lead tasks end-to-end, including coordination across R&D, QA, DevOps, and other teams
Drive technical initiatives independently, from requirements to delivery
Analyze system behavior, troubleshoot issues, and lead root-cause analysis
Improve reliability, performance, and maintainability of existing components
Integrate solutions into CI/CD pipelines
Leverage AI tools to improve coding efficiency, quality, and productivity
Collaborate closely with architects and peers to evolve system design
Apply AI-powered coding tools to accelerate development and improve code quality
Leverage coding agents and AI workflows to optimize design decisions, refactoring, testing, and documentation
Contribute to engineering best practices and continuously improve development velocity and reliability.
Requirements:
BSc in Computer Science / Software Engineering or equivalent
4+ years of professional software development experience
Demonstrable daily use of AI coding assistants (Copilot, Claude Code)
Integrate AI APIs and tooling (LLMs, agents, retrieval systems) into product features and internal tooling
Strong hands-on experience in Java / Type Script
Experience working with cloud platforms (AWS \ Azure)
Strong understanding of software design principles and distributed systems
Excellent debugging and problem-solving skills
Experience working in Agile development environments
Fluent English (written and spoken)
You will have an advantage if you also have:
Experience designing microservices architectures
Contributions to open-source projects or technical publications
Experience solving complex, high-scale engineering challenges.
BSc in Computer Science / Software Engineering or equivalent
4+ years of professional software development experience
Demonstrable daily use of AI coding assistants (Copilot, Claude Code)
Integrate AI APIs and tooling (LLMs, agents, retrieval systems) into product features and internal tooling
Strong hands-on experience in Java / Type Script
Experience working with cloud platforms (AWS \ Azure)
Strong understanding of software design principles and distributed systems
Excellent debugging and problem-solving skills
Experience working in Agile development environments
Fluent English (written and spoken)
You will have an advantage if you also have:
Experience designing microservices architectures
Contributions to open-source projects or technical publications
Experience solving complex, high-scale engineering challenges.
This position is open to all candidates.
