Backend Developer (Golang/AWS/NoSQL)

Salary: RM 8,000 – RM 12,000 per month

Industry: IT Software

Location: Bangsar South, KL

Working hours: Mon-Fri, 9am-6pm (Hybrid, 3 days WFH)

Key Responsibilities

Backend Development and Architecture

• Design, develop, and maintain backend services and APIs using Go (Golang).

• Build scalable, distributed, and event-driven systems capable of handling thousands of transactions per second.

• Design service interfaces, data flows, and integration patterns that support independent deployment, horizontal scaling, and future growth.

• Apply sound software design principles, appropriate abstractions, and proven architectural patterns without introducing unnecessary complexity.

• Identify and resolve performance bottlenecks, concurrency issues, and resource constraints.

AWS Cloud Infrastructure and Dynamic Scaling

• Develop and deploy production services on AWS using appropriate computer, networking, storage, and managed service offerings.

• Implement horizontally scalable services that dynamically adjust capacity in response to changing traffic and processing demand.

• Deploy and operate containerized workloads using Kubernetes.

• Configure and optimize autoscaling, resource allocation, health checks, and service recovery.

• Apply infrastructure-as-code and automated deployment practices to ensure repeatable, consistent environments.

• Consider performance, availability, security, and cloud operating costs when making engineering decisions.

Event Processing and Data Management

• Build asynchronous, event-driven processing pipelines using Apache Kafka.

• Design reliable message producers and consumers, including appropriate handling of retries, duplicate messages, ordering, and processing failures.

• Design and optimize relational database schemas, SQL queries, indexes, transactions, and data migrations.

• Design, develop, and optimize NoSQL data models using Couchbase, ensuring efficient data access, high throughput, scalability, and performance in distributed systems.

• Understand data consistency, concurrency, transaction boundaries, and the trade-offs between relational and NoSQL storage.

• Ensure data integrity and resilience across distributed services.

Quality, Reliability, and Production Operations

• Write clean, maintainable, well-documented code supported by automated unit, integration, and appropriate end-to-end tests.

• Participate constructively in code reviews, design reviews, and technical discussions.

• Instrument services with meaningful logs, metrics, traces, dashboards, and actionable alerts.

• Troubleshoot production issues through systematic investigation and root-cause analysis.

• Design for failure, including dependency outages, traffic spikes, timeouts, partial failures, and message-processing errors.

• Participate in production support and incident response as appropriate for the team.

• Continuously improve service performance, reliability, security, and maintainability.

Engineering Collaboration and Ownership

• Translate business and product requirements into practical technical designs and deliverable work.

• Own assigned features and services from initial design through implementation, deployment, and ongoing operation.

• Communicate technical decisions, risks, dependencies, and trade-offs clearly.

• Collaborate with other engineers, product stakeholders, and infrastructure teams.

• Contribute to engineering standards and help improve development practices across the team.

Required Qualifications

• Minimum 3 years of professional software engineering experience building and operating production backend systems in an AWS or comparable cloud-native environment.

• Strong, hands-on proficiency in Go (Golang) for production backend development.

• Demonstrated experience designing, building, and operating services handling thousands of transactions per second, with the ability to explain how throughput and performance were measured.

• Practical experience implementing dynamic scaling and horizontal scaling for production workloads.

• Hands-on experience deploying and operating containerized applications using Kubernetes.

• Practical experience with Apache Kafka, including producers, consumers, topics, partitions, consumer groups, and failure handling.

• Hands-on experience with relational databases (RDBMS) and NoSQL databases, specifically Couchbase, including data modelling, querying, indexing, and performance optimization.

• Strong understanding of RESTful APIs, service integration, concurrency, and distributed systems fundamentals.

• Experience with automated testing, version control, code reviews, and CI/CD pipelines.

• Understanding of production monitoring, troubleshooting, performance optimization, and service reliability.

• Strong problem-solving skills, sound technical judgment, and the ability to work independently while collaborating effectively with a team.

Preferred Qualifications

• Experience with AWS services such as EKS, EC2, ECS, Lambda, S3, RDS, DynamoDB, SQS, or related services, as relevant to the architecture.

• Experience with Infrastructure as Code using Terraform, AWS CDK, or CloudFormation.

• Familiarity with Docker, Helm, Kubernetes autoscaling, and resource management.

• Experience with observability tools such as Prometheus, Grafana, OpenTelemetry, or CloudWatch.

• Understanding of distributed system reliability patterns, including idempotency, backpressure, circuit breakers, rate limiting, and graceful degradation.

• Experience with load testing, capacity planning, latency analysis, and performance profiling.

• Knowledge of cloud security fundamentals, including IAM, least-privilege access, secrets management, encryption, and secure API design.

• Experience optimizing cloud infrastructure for cost and operational efficiency.