Java Backend Developer - WFH/ Remote-Work (5 Years Exp Needed At least)

Where opportunity finds you. Yuzee is an AI platform building a world where every person can find their place in education, work, and life. We bring people, education providers, employers, mentors, and communities into one connected ecosystem — helping users turn their goals into clear pathways and future-ready opportunities. For industry, Yuzee helps discover the talent of tomorrow, today. For our team, Yuzee is a chance to build technology with purpose: a platform that simplifies complex systems, connects people to opportunity, and helps shape the future of education-to-employment. Yuzee is where ambition finds direction — and opportunity finds people. We are looking to hire experienced Java Backend Developers with strong experience. This is for an ongoing full time work for someone with at least 5 years of professional work experience and with great experience working with backend search engines and springboot. This is a complete work from home / remote job. What You’ll Own Backend Engineering • Design, build, and maintain backend services using Java 20+ and Spring Boot • Develop clean, secure, versioned REST APIs for web, mobile, admin, partner, and AI systems • Review and improve Spring Boot application structure, dependency versions, embedded Tomcat configuration, startup behaviour, memory usage, and runtime performance • Improve service structure, startup behaviour, configuration, and deployment readiness • Refactor weak or unstable backend areas without breaking existing functionality • Review and improve backend code quality, error handling, validation, and performance Platform Stability • Investigate production issues across services, APIs, databases, queues, and cloud infrastructure • Investigate Spring/Tomcat-level issues such as slow startup, failed bean initialisation, blocked request threads, timeout misconfiguration, memory pressure, and unhealthy application states • Improve application startup, service health checks, logging, retries, timeout handling, and failure recovery • Identify unstable services, duplicated logic, poor configurations, and risky dependencies • Create clear root-cause analysis for recurring backend failures • Help define backend release standards and deployment readiness checks Data, Search & Matching • Work with MongoDB, PostgreSQL/MySQL, Redis, and Elasticsearch • Optimise queries, indexes, schema design, and data access patterns • Support course matching, profile enrichment, search, recommendation, and application workflows • Improve backend data consistency between APIs, databases, search indexes, and AI outputs Cloud & Infrastructure • Work confidently with AWS-backed backend environments, including services such as EKS/ECS, EC2, Lambda, RDS, S3, IAM, CloudWatch, and SQS/SNS, in collaboration with DevOps/Cloud engineers • Support containerised deployments using Docker and Kubernetes • Review backend infrastructure for cost, security, reliability, and scalability • Help reduce unnecessary cloud costs caused by inefficient services, oversized resources, or poor runtime behaviour • Partner with DevOps/Cloud engineers to improve deployment pipelines and runtime environments Messaging & Integrations • Work with Kafka, RabbitMQ, or AWS SQS/SNS • Audit existing message/event flows and identify what is used, unused, broken, or risky • Build reliable asynchronous workflows for notifications, AI processing, applications, search updates, and partner integrations • Integrate third-party services such as payment gateways, email/SMS providers, CRMs, AI/ML APIs, and institution partner systems Security & Access • Build secure backend services using Spring Security, OAuth2, JWT, SSO, and role-based access control • Work with identity systems such as Keycloak or similar • Improve API security, permission checks, secrets management, and environment variable hygiene • Identify risky public endpoints, exposed credentials, weak service-to-service access, and insecure configurations • Apply secure coding practices across backend services Observability & Monitoring • Improve backend logging, metrics, alerts, tracing, and health dashboards • Work with tools such as CloudWatch, ELK, Grafana, Prometheus, New Relic, Datadog, Rollbar, or similar • Make it easier to detect user-impacting failures such as login issues, API failures, slow responses, and broken workflows • Help define what “healthy backend” means for Yuzee Leadership & Mentoring • Review pull requests and raise engineering quality across the team • Mentor junior and mid-level developers while maintaining delivery momentum • Break large technical problems into clear, shippable milestones • Write technical documentation that explains systems, decisions, risks, and fixes • Push back on poor technical decisions with evidence and better alternatives Must-Have Skills • 5+ years backend engineering experience, with strong Java experience • 4+ years hands-on Spring Boot experience • Strong experience with: • Java 17 / 21+ • Spring Boot • Spring Data • Spring Security • REST API design • Microservices • Docker • CI/CD • Git workflows and code reviews • Strong understanding of the Spring ecosystem, including Spring Boot, Spring MVC, Spring Security, Spring Data, Spring configuration, profiles, dependency management, and application lifecycle • Practical understanding of embedded servlet containers such as Tomcat, including request handling, thread pools, connection limits, timeouts, and production tuning • Experience using Spring Boot Actuator or similar tools for health checks, metrics, readiness/liveness checks, and production diagnostics • Strong database experience with at least one relational database: • PostgreSQL • MySQL • RDS • Production experience with cloud platforms, preferably AWS • Strong understanding of: • Authentication and authorisation • OAuth2 • JWT • SSO • Role-based access control • Solid testing experience: • JUnit 5 • Mockito • Integration testing • API testing • Strong database optimisation ability — schema design, indexing, query tuning • Strong debugging and root-cause analysis ability • Ability to document backend systems, technical risks, architecture decisions, production incidents, and recommended fixes clearly • Strong written English for async collaboration Salary on Offer : PKR 1,400,000 - 2,000,000 per year Education • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field from a recognised university • Master’s degree (M.Tech / MS / MCA) in a relevant field is a plus but not required • Equivalent practical experience will be considered for candidates with a strong production track record Strong Nice-to-Have Skills • NoSQL or search experience with MongoDB, Redis, or Elasticsearch • Experience with queues or event-driven systems (Kafka, RabbitMQ, AWS SQS/SNS) • Kubernetes / EKS production experience • AWS Lambda and serverless backend experience • Keycloak experience • Elasticsearch tuning for search and matching workloads • AI/ML API integration experience, especially Gemini/OpenAI-style APIs • Vector search or embedding-based matching experience • Experience with multi-tenant SaaS platforms • Experience with EdTech, recruitment, marketplace, or application-management systems • Experience with monitoring and observability tools • Experience improving legacy backend systems • Experience reducing AWS cost without weakening reliability • Experience preparing systems for investor, audit, or enterprise-readiness review Soft Skills • Strong ownership mindset • Calm under production pressure • Able to explain technical problems clearly to non-technical leadership • Comfortable working across Australia, Malaysia, and India time zones • Able to work independently without needing constant direction • Strong judgement on when to refactor, when to stabilise, and when to ship • Willing to document systems properly • Able to mentor junior and mid-level developers while maintaining delivery momentum • Evidence-based decision-making Benefits Completely remote or work from home (Very good if you also want to spend more time with family) Friendly and understanding colleagues Competitive salaries You get to work in an agile work environment You get to show your leadership skills International working exposure Company shares can be offered based on how successful with our products' launch Company sponsored online classes or tech talks Bonuses if you perform beyond expectation Promotions towards better job roles possible after a certain period of time