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

Develop and maintain scalable Java backend services with Spring Boot and cloud integration.

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 Spring Boot. 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, and 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, or RDS

• Production experience with cloud platforms, preferably AWS

• Strong understanding of authentication and authorisation, OAuth2, JWT, SSO, and role-based access control

• Solid testing experience: JUnit 5, Mockito, integration testing, and 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 our products' launch is

• 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