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Embark on a transformative journey as an Engineering Lead where you'll play a pivotal role in shaping the future of colleague experience team by leading & managing engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.
Job Responsibility
Lead and manage engineering teams providing technical guidance, mentorship, and support
Oversee timelines, team allocation, risk management and task prioritization
Mentor and support team members' professional growth, conduct performance reviews
Evaluation and enhancement of engineering processes, tools, and methodologies
Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions
Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices
Requirements
Proven experience managing engineering teams of 10+ members
Ability to coach and develop technical talent
Strong hands-on experience with Java, Spring Boot, RESTful APIs, Kafka and workflow engines like JBPM/Kamunda
Proficiency in React and Micro Frontend Architecture, Liquibase for database version control
Familiarity with OpenShift (ApaaS) and AWS cloud services
Experience with Oracle Coherence or similar distributed caching solutions
Experience deploying applications on OpenShift or Kubernetes, together with API Gateway patterns and implementations
Proficiency with Helm for Kubernetes package management
Experience in designing high performance applications
Java v.8+
Solid understanding of Core Java, REST API's, Concurrency
Experience in memory management, profiling
Cloud Concepts and Developer Lifecycle on AWS
Spring Boot v.2+, v.3+, Spring Batch, Spring JDBC, Hibernate JPA
Working experience in SOLID principles, design patterns
Junit, Mockito, Power Mock, Spring testing framework
Applied knowledge of design and integration patterns
Experience deploying applications with Docker and Kubernetes
Versioning tools like Git, Bitbucket or GitLab
Ability to implement Agentic AI use cases in SDLC phase
Nice to have
A self-starter with good communication and stakeholder management skills
Solid understanding of distributed systems, microservices, and modular design principles
Strong problem-solving and decision-making abilities
Experience of DevOps tooling such as Jenkins, Bitbucket, Nexus, Gitlab, Jira etc
Experience in working & configuring wide range of AWS services such as API Gateway, Lambda, ECS, Elastic Load Balancers, EC2, MSK, RDS – Oracle preferred
Good experience in Cloud technology like AWS (OpenShift etc.)
Build and Deployment tools (CI/CD, Jenkins)
What we offer
Competitive holiday allowance
Life assurance
Private medical care
Pension contribution
Access to wellness rooms, gyms and mental health support