Nik Afiq a08219acaa
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Updated CV
2026-03-23 02:01:47 +09:00

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NIK AFIQ

Tokyo, Japan nik@nik4nao.com | github.com/nikafiq | nik4nao.com


PROFESSIONAL SUMMARY

Backend engineer with 3 years of professional experience designing, building, and operating distributed backend systems on GCP and AWS. Strong in Go and Python, with hands-on production experience in high-throughput event-driven services, Kafka-based pipelines, Kubernetes, and cloud-native data platforms. Experienced in designing systems with strict reliability, ordering, idempotency, retry safety, and production-safe migration requirements. Applies AI/LLM tools with deliberate guardrails in daily workflows. Trilingual in English, Japanese (JLPT N1), and Malay. Strong typed-language foundation and able to ramp quickly into Java backend development.


SELECTED HIGHLIGHTS

  • Designed and operated a Kafka + GKE + Cloud Spanner backend pipeline for correctness-sensitive, high-throughput user data synchronization with per-account_id ordering, at-least-once delivery, and durable retry handling.

  • Architected event-driven backend services under constraints including 100120 TPS steady load, 600 TPS burst, 1500 TPS downstream cap, and 1500 TPS sustained Spanner read traffic across two production services.

  • Achieved ~30% fewer duplicate downstream calls via singleflight coalescing; separately refactored a 1500 TPS Spanner read service (hashed phone number lookup, removed non-indexed searches), cutting CPU by ~30%.

  • Built cloud-native platforms across GCP, AWS, and Azure using Kubernetes, ECS/Fargate, Lambda, Aurora, DynamoDB, and Kafka.

  • Bilingual/trilingual engineer (EN/JA/Malay) with daily cross-functional communication across Japanese and overseas teams.


WORK EXPERIENCE

株式会社ホープス (Hopes Co., Ltd.) — Tokyo

Backend Engineer | Aug 2025 Present

Dispatched to a major domestic telecommunications carrier as part of a next-generation carrier messaging platform initiative. Designing and operating a distributed GCP/GKE backend pipeline bridging high-volume upstream message delivery with a downstream consent fulfillment API.

  • Proposed and led adoption of a Kafka-based queuing architecture; designed the end-to-end pipeline with GKE, Managed Kafka (8 partitions keyed by account_id), and Cloud Spanner under a 1500 TPS downstream global cap with strict per-account_id ordering
  • Designed request coalescing with singleflight, reliable offset commit ordering (offsets committed only after durable Spanner writes), graceful shutdown, and a cronjob-based retry pipeline — achieving at-least-once delivery with no data loss on crash
  • Refactored the user-info-fetch API (a separate Spanner read service accessed by the Gateway aggregator team at 1500 TPS): guided a junior engineer through initial implementation, then led a full refactor introducing hashed phone number lookup, removing non-indexed searches, and tuning indexes — cutting CPU usage by ~30% under sustained load
  • Led Locust performance testing at 120 TPS steady and 600 TPS burst; used results to right-size GKE CPU and memory for stable production behavior
  • Designed OpenTelemetry + Datadog + Wiz observability stack; built CI controls with semantic version tag enforcement and least-privilege Workload Identity
  • Led TDD adoption, authored team dev guidelines, identified and escalated a 1-month deadline slip, and stepped up as informal tech lead during a leadership gap
  • Applied AI tools (Copilot, Claude, Gemini, ChatGPT) in daily workflows with deliberate guardrails: output validated through testing and review, AI excluded from security-sensitive logic

株式会社ニッポンダイナミックシステムズ — Tokyo

Full Stack Engineer, IT Solutions — Pharma Market Team | Apr 2023 Jul 2025

Backend, cloud infrastructure, data platforms, and internal application development for enterprise clients, primarily on AWS with some Azure-based delivery.

  • Built a scalable analytical DWH on Amazon Aurora for a pharmaceutical client, integrating Salesforce and multiple external sources via ECS/Fargate and Lambda ETL pipelines; designed for HA with Multi-AZ failover
  • Constructed a SaaS data lake using AWS CDK, Glue, TypeScript, and Python, automating ETL ingestion across heterogeneous data sources
  • Built a license authentication service using Node.js, Docker, Azure Web Apps, and Azure AD B2C; owned requirements definition through client delivery
  • Automated monthly maintenance operations (AMI updates, patching, regression testing, blue/green deployments) via AWS CodePipeline and Azure Pipelines
  • Mentored junior engineers on cloud architecture; functioned as bilingual (EN/JA) liaison between domestic and overseas engineering teams

SKILLS

Category Details
Languages Go, Python, TypeScript/JavaScript, Java (learning; strong typed-language foundation)
Backend Distributed systems, event-driven architecture, REST APIs, pub/sub, concurrency, retry design, idempotency, fault tolerance
Cloud — AWS ECS/Fargate, Lambda, Aurora/RDS, DynamoDB, Glue, CDK, CodePipeline, Bedrock, Secrets Manager
Cloud — GCP GKE, Cloud Spanner, Managed Kafka, BigQuery, Cloud Trace
Cloud — Azure Web Apps, ADB2C, Azure Pipelines
Data MySQL, Aurora, PostgreSQL, DynamoDB, Cloud Spanner, Kafka, Redis
DevOps Docker, Kubernetes, ArgoCD, CI/CD, IaC (Terraform, AWS CDK, Ansible)
Observability OpenTelemetry, Datadog, distributed tracing
AI Tooling GitHub Copilot, ChatGPT, Gemini, Claude — applied with guardrails: test-validated output, excluded from security-critical paths
Security VPC, WAF, Security Groups, Secrets Manager, Workload Identity, Wiz

CERTIFICATIONS

Certification Issued
AWS Certified Solutions Architect Associate (SAA) Oct 2024
AWS Certified Developer Associate (DVA) Dec 2024
AWS Certified Cloud Practitioner (CLF) Apr 2024
基本情報技術者試験 (FE) — IPA Fundamental IT Engineer Aug 2024
JLPT N1 — Japanese Language Proficiency Dec 2022

In progress: AWS Solutions Architect Professional (SAP), Applied Information Technology Engineer (AP)


EDUCATION

Tokai University — Bachelor of Engineering Major: Electrical and Electronic Engineering Minor: Information Technology Graduated: March 2023


ADDITIONAL

  • Languages: English (business), Japanese (business, JLPT N1), Malay (native)
  • Homelab: Self-hosted k3s cluster, Gitea, Ansible/IaC, ArgoCD — gitea.nik4nao.com (mirrored to github.com/nikafiq)
  • Dev blog / personal site: nik4nao.com