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

Summary

Build and maintain Java/Spring Boot microservices for an EdTech platform, optimizing cloud infrastructure, databases, and security while mentoring junior developers.

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

Qualifications

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

See also