Java Backend Developer (Spring Boot)

Conditions

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Seeka Technology is Hiring

Job Info:

• Company Seeka Technology
• Position Java Backend Developer - WFH/ Remote-Work (5 Years Exp Needed At least)
• Location Islamabad, Pakistan
• Source SmartRecruiters
• Published May 08, 2026
• Category Development
• Type Full-Time

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

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