Lead Java Full Stack Engineer (Angular)

We are looking for a talented Lead Java Engineer with a passion for frontend development using Angular and a solid understanding of backend technologies. We need experienced Engineers who can contribute to critical application and product development projects. Join our team and contribute your expertise to creating innovative and user-friendly web applications that meet the demands of our dynamic industry.

Responsibilities

• Maintenance and support of IQ product in Identity Management system
• Incidents triage and refinement, management
• Incidents troubleshooting and root cause analysis
• Bug fixing, and verification
• Unit tests coverage, and automation
• Establishing tools to track and control SLA
• Helping triaging incoming requests
• Supporting deployment process including hotfix releases
• Interacting with new feature development teams in terms of cross-team knowledge sharing
• Creating documentation
• Running change management process
• Negotiating with other levels of support service on the client's side;
• Day-to-day leadership of the engineering team

Requirements

• Minimum experience required is 9 to 15 years in Java development.
• Proven track of history running Support Service with the committed SLAs from engineering standpoint
• Hands on experience working with incident management process;
• Profound understanding of ITIL processes
• Solid knowledge in Metrics & KPIs
• Proven track of history working with Java software development
• Advanced understanding of Angular
• Profound understanding of engineering excellence principles and practices
• Hands on experience leading large-scale technical team on program level
• Advanced experience with object-oriented analysis and design skills
• Advanced experience with an object-oriented programming language and techniques
• Great communication skills
• Must have hands on experience with Microservices

Nice to have

• Knowledge of IAM
• Experience with Continuous Delivery
• Experience instrumenting code for gathering production performance metrics
• Good understanding of AI and Machine Learning principles