Technical Lead – Angular/Spring Boot (EC-62)

Must have

• 9+ years of hands-on software engineering experience, with significant experience designing and developing enterprise-grade full-stack applications.
• At least 2+ years of experience providing technical leadership, leading engineering workstreams, mentoring engineers, and making technical decisions within delivery teams.
• Strong proficiency in Angular, preferably Angular 19+, together with TypeScript, JavaScript ES6+, HTML5, CSS3, and responsive application design.
• Strong understanding of Angular architecture, reusable components, reactive programming, state management, routing, forms, performance optimization, and frontend testing.
• Strong hands-on experience with Java, Spring Boot, Spring MVC, Spring Data JPA, and related Spring technologies.
• Strong experience designing, implementing, documenting, integrating, and securing RESTful APIs and JSON-based services.
• Strong knowledge of relational databases and practical experience with MySQL, including schema design, indexing, query optimization, transactions, and application-level data access patterns.
• Strong understanding of authentication, authorization, secure coding, API security, data protection, and common web application vulnerabilities.
• Strong understanding of object-oriented design, SOLID principles, clean code, design patterns, automated testing, and maintainable software design.
• Sound understanding of modern application architectures, including modular monoliths, microservices, event-driven systems, distributed applications, and their associated architectural trade-offs.
• Ability to evaluate solution options and make sound technical decisions considering scalability, maintainability, performance, security, complexity, delivery constraints, and business requirements.
• Experience with Git, branching strategies, pull requests, code review practices, automated builds, and modern CI/CD workflows.
• Working knowledge of at least one cloud platform such as AWS, Azure, or GCP and an understanding of cloud-ready application design.
• Familiarity with Docker and containerized application development; Kubernetes exposure is advantageous.
• Experience working in Agile/Scrum environments and contributing to requirements clarification, estimation, planning, delivery, release management, and continuous improvement.
• Demonstrated ability to remain hands-on while providing technical direction, resolving complex technical challenges, and maintaining ownership of technical outcomes.
• Strong mentoring and team leadership skills, with the ability to guide engineers at different experience levels and raise overall engineering capability.
• Excellent collaboration, communication, stakeholder management, facilitation, analytical, and problem-solving skills.
• Demonstrated ability to build effective working relationships across engineering teams, business stakeholders, architects, delivery teams, and client organizations.
• Ability to facilitate technical discussions, resolve differing viewpoints constructively, and drive teams toward clear technical decisions and agreed actions.
• Ability to explain complex technical concepts, architecture decisions, trade-offs, risks, and recommendations clearly to both technical and non-technical stakeholders.
• Ability to communicate technical risks, dependencies, blockers, progress, and required decisions proactively and in a manner appropriate to the audience.
• Strong client-facing capability and confidence acting as a technical representative during requirement discussions, design reviews, delivery discussions, and technical issue resolution.
• Practical experience with AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, Cursor, or equivalent tools, or demonstrated ability to adopt such technologies effectively.
• Ability to use generative AI effectively for implementation, refactoring, testing, debugging, code analysis, technical documentation, solution exploration, and rapid prototyping.
• Ability to critically evaluate AI-generated code and technical outputs for correctness, security, performance, maintainability, architecture, testability, and unintended behavior.
• Understanding that AI-assisted development complements rather than replaces sound engineering judgment, architecture, human review, testing, and accountability.
• Awareness of responsible AI considerations including data privacy, intellectual property, information security, hallucination risks, sensitive data handling, and protection of client information.
• Ability to identify appropriate opportunities for AI and automation while recognizing situations where human engineering judgment and review are essential.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Nice to have

• Domain knowledge of event ticketing, reservation, e-commerce, or high-volume transactional platforms.
• Experience designing or working with messaging technologies such as RabbitMQ, Kafka, or similar platforms.
• Experience with caching technologies such as Redis.
• Knowledge of API gateways, service discovery, centralized configuration, distributed tracing, and observability patterns.
• Experience with performance testing, application monitoring, structured logging, production troubleshooting, and operational support.
• Experience with infrastructure-as-code and cloud-native engineering practices.
• Experience designing or contributing to microservices, event-driven architectures, or distributed systems.
• Experience facilitating architecture reviews, technical design discussions, or solution workshops with clients and engineering teams.
• Experience with technical interviews, onboarding, mentoring programs, or engineering capability development.
• Experience introducing or governing AI-assisted development standards, workflows, automation, or developer productivity initiatives.
• Practical experience with AI-first development, prompt engineering, agentic coding, AI-assisted code review, or autonomous development workflows.
• Familiarity with measuring AI-assisted engineering effectiveness using indicators such as cycle time, throughput, code quality, defect rates, review effort, or engineering productivity.
• Experience evaluating new engineering technologies and introducing them into delivery teams through controlled pilots, standards, or adoption plans.
• Relevant certifications in Angular, Java, Spring, cloud platforms, software architecture, security, or AI-related engineering.
• Passion for staying current with developments in Angular, Spring Boot, Java, cloud engineering, software architecture, generative AI, and modern engineering practices.

Technologies

• Agentic AI
• Agile
• Angular
• API Security
• Authentication
• AWS
• Azure
• ChatGPT
• CI/CD
• Claude
• Cloud Native
• CSS
• Cursor
• DevOps
• Docker
• E-commerce
• Event-Driven Architecture
• GCP
• Generative AI
• Git
• GitHub
• GitHub Copilot
• HTML
• Infrastructure as Code
• Java
• JavaScript
• JPA
• JSON
• Kafka
• Kubernetes
• Microservices
• MySQL
• Observability
• Performance Testing
• Prompt Engineering
• Prototyping
• RabbitMQ
• Redis
• Responsible AI
• REST
• Scrum
• Spring / Spring Boot
• Test Automation
• TypeScript

Highlights

The company, Eyepax, is a global technology consulting firm with main development hubs in Sri Lanka and Vietnam and headquarters in Singapore. The work environment emphasizes continuous improvement, coaching, and global exposure. A Bachelor's degree in Computer Science, IT, Engineering, or a related field is required.