Middle/Senior Software Engineer - AI-Augmented

• 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.

[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.

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