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