Webologix Ltd/ INC
Senior Software Engineer
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About the Role
We are looking for experienced Senior Cloud-Native Software Engineers to join our product and engineering team and help build modern, scalable enterprise platforms.
The ideal candidate will bring 10+ years of software engineering experience, strong technical fundamentals, and hands-on expertise in designing and developing cloud-native applications. You will work closely with an established engineering team, contributing to the design, development, delivery, and continuous improvement of our platforms.
This is a hands-on engineering role focused on building high-quality software and solving complex technical problems. We are looking for engineers who can work effectively within an existing technical direction and engineering standards, while also bringing ideas, identifying opportunities for improvement, and constructively challenging decisions when appropriate.
Experience integrating AI capabilities into enterprise applications is highly desirable, but strong software engineering capability remains the primary requirement.
Key Responsibilities
- Design, develop, and maintain scalable, resilient, cloud-native enterprise applications and platforms.
- Build high-quality backend services, APIs, and microservices using Java and/or Python.
- Develop and operate applications and services deployed in Kubernetes and cloud environments.
- Design and implement microservices and API-based architectures that are secure, scalable, and maintainable.
- Build solutions using event-driven and asynchronous architectures where appropriate.
- Apply modern CI/CD, DevOps, automation, testing, and observability practices throughout the software development lifecycle.
- Contribute to technical design and architecture discussions, balancing engineering quality with practical delivery requirements.
- Work collaboratively with product managers, architects, engineers, and other stakeholders as part of an established product engineering team.
- Follow and contribute to established engineering standards, development practices, and delivery processes.
- Troubleshoot complex technical issues and contribute to improving the reliability, performance, scalability, and maintainability of the platform.
- Provide technical guidance and mentorship to other engineers where appropriate.
- Stay current with emerging technologies and identify opportunities where they can deliver meaningful business or engineering value.
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AI & Emerging Technology
Experience applying AI capabilities within enterprise software environments would be highly desirable. Relevant experience may include:
- Integration of Large Language Models (LLMs) into enterprise applications.
- Retrieval-Augmented Generation (RAG) architectures and implementations.
- AI/LLM orchestration frameworks and patterns.
- AI agents and agentic application architectures.
- Integration with commercial or open-source AI/ML platforms and APIs.
- Building production-grade AI-enabled services with appropriate considerations for security, scalability, reliability, cost, and governance.
AI experience should complement, rather than replace, strong core software engineering and architecture skills.
Required Experience & Skills
- 10+ years of professional software engineering experience building enterprise-grade applications and platforms.
- Strong hands-on programming experience with Java and/or Python.
- Proven experience building cloud-native applications and distributed systems.
- Strong understanding of microservices architecture and API design.
- Hands-on experience with Kubernetes and containerized application environments.
- Experience with event-driven architectures, messaging, and asynchronous processing.
- Strong understanding of CI/CD and DevOps practices.
- Experience working with cloud platforms and modern infrastructure and deployment practices.
- Strong understanding of software engineering fundamentals, including:
- Object-oriented and/or modern programming principles
- Design patterns and clean code
- Automated testing
- Version control
- Application security
- Performance and scalability
- Observability and production support
- Experience designing and delivering software as part of a product engineering team.
- Strong problem-solving and analytical skills.
- Ability to communicate technical concepts clearly and work effectively within a collaborative engineering environment.
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Desirable Skills
- Experience integrating LLMs, RAG, AI agents, or AI orchestration frameworks into production applications.
- Experience with technologies such as Kafka or other event-streaming platforms.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with infrastructure-as-code and automation technologies.
- Experience with distributed tracing, metrics, logging, and modern observability platforms.
- Experience with secure software development and enterprise security practices.
- Experience working on large-scale enterprise platforms or highly distributed systems.
- Experience providing technical leadership or mentoring within an engineering team.
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