Lead the end-to-end design, development, testing, deployment, and maintenance of full-stack applications.
Provide technical leadership and guidance to development teams, ensuring adherence to engineering best practices.
Design scalable, secure, maintainable, and high-performance application architectures.
Develop robust backend services and RESTful APIs using Java and Spring Boot.
Contribute to front-end development using modern frameworks such as Angular or React.
Conduct code reviews and ensure adherence to coding standards, design principles, and best practices.
Translate business and functional requirements into effective technical solutions.
Collaborate closely with product managers, business stakeholders, architects, QA teams, and DevOps engineers.
Drive technical discussions, architecture decisions, and resolution of complex engineering challenges.
Identify technical risks and dependencies and proactively work toward their resolution.
Mentor developers and support the team in improving technical capabilities and engineering practices.
Ensure application performance, scalability, reliability, and security across the development lifecycle.
Participate in Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives.
Contribute to continuous improvement of development processes, engineering standards, and delivery practices.
Support CI/CD implementation and ensure smooth integration and deployment across environments.
Work with cloud platforms and cloud-native technologies to build and deploy scalable applications.
Utilize AI-assisted development tools to improve productivity, accelerate development, and enhance code quality.
Required Technical Skills :
Strong hands-on experience in Java development.
Strong proficiency in Spring Boot and related Java frameworks.
Good experience in designing and developing RESTful APIs and microservices.
Strong understanding of object-oriented programming, design patterns, and software engineering principles.
Hands-on experience with Angular or React is preferred.
Strong understanding of front-end and backend integration.
Good knowledge of databases, data modelling, and application performance optimization.
Understanding of SDLC and software engineering best practices.
Strong experience working in Agile development environments.
Good understanding of DevOps practices and CI/CD pipelines.
Experience with cloud platforms such as AWS, Azure, or GCP.
Understanding of source control and collaborative development practices, preferably Git.
AI-Assisted Development :
The candidate should be comfortable working with modern AI-powered software development tools and understand how to incorporate them responsibly into the engineering lifecycle.
Exposure to tools such as :
GitHub Copilot
Cursor
Devin
Claude Code
Windsurf
Amazon Q
Kiro
Experience using AI-assisted tools for code generation, code refactoring, debugging, documentation, test creation, developer productivity, or software development workflows will be an advantage.
Leadership & Collaboration :
Proven ability to lead technical initiatives and guide engineering teams.
Strong problem-solving and analytical skills.
Excellent communication and stakeholder management skills.
Ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
Strong ownership and accountability for technical deliverables.
Ability to make sound technical decisions and balance scalability, performance, maintainability, and delivery timelines.
Ability to mentor and coach team members and foster strong engineering practices.
SDLC, Agile & DevOps :
Strong understanding of the complete Software Development Life Cycle.
Experience working with Agile/Scrum methodologies.
Familiarity with CI/CD pipelines and automated build and deployment processes.
Understanding of application monitoring, logging, troubleshooting, and production support.
Ability to collaborate with DevOps teams to improve deployment reliability and engineering efficiency.
Preferred Qualifications :
Experience working on enterprise-scale applications.
Experience with microservices-based architectures.
Exposure to cloud-native application development.
Experience working in distributed and cross-functional teams.
Experience driving technical modernization or application transformation initiatives.
Experience adopting AI-assisted development practices within software engineering teams.
Glauben Technologies
