Top 3 reasons to join us
AI-first culture: company-funded Claude for all
Rewards for contribution, reviewed every 6 months
Clear career path and chance to be a key member
Job description
Take end-to-end ownership of features, covering requirements analysis, design, implementation, testing, deployment and monitoring.
Work directly with clients to clarify requirements, present technical options and trade-offs, and recommend solutions.
Develop across the stack, including backend, frontend, data and AI components (Go, Python, Java, [protected info]).
Provision and maintain cloud infrastructure and CI/CD pipelines (AWS/GCP, Terraform/CDK).
Direct AI coding agents by defining specifications and context, validating outputs, and remaining accountable for all merged code.
Define test strategies and review both human-written and AI-generated code.
Operate deployed services, including monitoring, alerting and incident resolution.
(Senior) Develop shared AI tooling for the team and mentor team members.
Your skills and experience
[Requirement]
Experience &
Technical Foundation
2+ years (Middle) or 4+ years (Senior) experience delivering production software.
Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience.
Strong in one of Go, Python, Java or [protected info], and able to work in another.
Hands-on experience in at least 3 of the following 6 areas:
Backend and data: APIs, SQL/NoSQL, data pipelines, message queues
Cloud and Infrastructure as Code
DevOps: Docker, CI/CD, Linux
Testing and test automation
Production operations: monitoring, troubleshooting
Security: secure coding, IAM, secrets management
AI-Augmented Engineering
Solid computer science fundamentals, sufficient to critically evaluate AI-generated output.
Uses AI coding tools beyond autocomplete: breaks down tasks and verifies output.
Mindset &
Communication
Strong sense of ownership, with accountability for results in production rather than code delivery alone.
Adapts to a broad scope and fast pace, and works smarter with tools rather than extended working hours.
Ability to explain technical matters clearly to clients in business terms.
Professional English communication skills, spoken and written
Japanese is an advantage.
[Nice to have]
Experience with data pipelines (Airflow, dbt, BigQuery/Snowflake) or LLM-based agent systems (tool calling, RAG, evaluation).
Experience with Terraform, Kubernetes, and monitoring tools such as Prometheus, Grafana or Datadog.
Experience building AI tooling for teams, such as MCP servers, custom agents or skill libraries.
Cloud (AWS/Azure/GCP) or security certifications.
This role may not be the right fit if you prefer to specialize in a single layer of the system, work primarily from detailed specifications, or avoid direct communication with clients.
Why you'll love working here
Work the AI-first way
AI tools provided and used in daily work
Seniors build the team's shared AI platform
Own more, grow faster
Wider scope: design, infrastructure, operations and client discussions, not coding to detailed specifications
Work directly with Japanese clients and Septeni Group companies
Promotion based on scope and impact, not tenure; free Japanese and English courses, internal and external training
Great work pays off
Salary review and bonus every 6 months, reflecting your results
Recognition awards for outstanding members; the MVP of the year has chance to the Kickoff party in Japan
Bao Viet Health care, social insurance paid on full salary
Work and life
Flexible working hours, work from home 1 day/week, and using MacBook Pro
Full social and health insurance, premium health insurance package
Annual company trip, team building activities
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