Senior Software Engineer (Japanese N2)

JOB DESCRIPTION

Build, guide and manage the development process of the project, ensuring the team applies the process effectively: Agile methodology (Scrum, Kanban), Agile practices
Taking a central role while proactively being involved in leading, executing, implementing, strategizing, and quality assurance as necessary for driving project successfully
Design database, write readable and testable code of functional and non-functional requirements
Quickly fix system failures or abnormalities by monitoring or notifications

JOB REQUIREMENT

Must have
4+ years for Web development
Have worked as a Backend Engineer with in following languages: Golang/Java/Python/ PHP/C#
Good experience in Agile: Methodologies (Scrum, Kanban, LeSS) and practices
Experience to operate multiple applications on a production environment
Experience to collaborate with several teams
Good ability in Japanese (N2 or N1 equivalent)
Intermediate English skill
Nice to have
Experience to develop B2B SaaS applications
At least 2 year experience in project management or team leader: Define project objectives, Planning, Scheduling, Resource management, Risk/Issue management, Progress management
Good experience in microservices, micro-frontend, and multi-tenant architecture design/implementation

WHAT'S ON OFFER

Caring Mental & Physical Recreation:
Hybrid working: 2 days at the office and 3 days WFH
Working hour: Flexible start 8AM-9AM from Mon-Fri
Full salary in probation
Insurance: Applied from Probation period:
Social Insurance, Health Insurance, Unemployment Insurance (on 100% salary)
Private health insurance & accident insurance. From Managing level: extra for family members
Bonus: 13th month salary
16 - 24 paid days off and more
Paternity leave: Extra 5 days
Annual company trip; Quarterly team building
Billiards & Running club
Annual health check
Well-equipped facility: Macbook pro, additional monitor, ..
Caring Career & Development:
Clear Career path
Foreign language & International technology-related certifications sponsoring
External & internal training courses
Soft-skill workshops
Tech seminars
Monthly and biannual Recognition Awards
Performance & salary review: twice/year (Jun & Dec)

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Golang, PHP, Java, .NET, BSE/BrSE

Location:

Ha Noi - Viet Nam

Working Policy:

Job ID:

J01451

Status:

Close

Related Job:

Software Engineer (Node.js) - Database

Ho Chi Minh - Viet Nam


Product

  • NodeJS

Design system architectures, establish coding standards, and construct cohesive, cloud-native solutions. Develop high-quality Node.js code, optimize system performance, and tackle complex software integration challenges. Oversee the testing, deployment, and comprehensive documentation of integrated systems. Mentor less-experienced engineers, engage in cross-functional teamwork, and ensure solutions meet business requirements and international standards. Participate actively in all Agile software development phases, including creating user stories and executing sprint planning Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details

Software Engineer (Node.js) - Platform Security

Ho Chi Minh - Viet Nam


Product

  • NodeJS

Design system architectures, establish coding standards, and construct cohesive, cloud-native solutions. Develop high-quality Node.js code, strengthen system security and reliability, and tackle complex software integration challenges. Design and implement platform security controls across web applications, APIs, and cloud services, including authentication, authorization, session management, secrets management, encryption, and audit logging. Identify and remediate security risks through threat modeling, secure code reviews, automated security testing, dependency scanning, and investigation of security-related issues. Oversee the testing, deployment, and comprehensive documentation of integrated systems. Mentor less-experienced engineers, engage in cross-functional teamwork, and ensure solutions meet business requirements and international standards. Participate actively in all Agile software development phases, including creating user stories and executing sprint planning Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details

AI Agent Ops Engineer

Ho Chi Minh - Viet Nam


Product

  • AI

#Agent Engineering & operation Design, build, and maintain production-grade AI agent systems, including: context engineering and instruction architecture, prompt hardening and safe execution boundaries, tool integrations and multi-step orchestration, memory strategies and reliability patterns. Own the full agent lifecycle: prototype → evaluate → deploy → monitor → iterate. Build and maintain an evaluation pipeline to measure agent quality, catch regressions, and enforce deployment gates (golden datasets, scenario suites, automated checks). Instrument agents and agent platforms for production observability: structured logging, tracing, and metrics; latency and cost monitoring; tool-call success rates and failure analysis. Define operational readiness standards including: rollback criteria, incident response playbooks, recovery paths for common failure modes.#Team Enablement & Coaching Embed with product engineering teams to identify high-value use cases ready for agent automation. We will be operating in a Central Agent Ops role enabling Ai product builders through AI enablers. Translate business workflows into agent-executable tasks with clear: contact boundaries/interfaces, assumptions and inputs/outputs, failure modes and safe fallbacks. Deliver targeted coaching to engineers on: context engineering best practices, harness design and regression testing patterns, agent skill design and tool-contract discipline. Reduce onboarding time for teams adopting AI capabilities-from first conversation to a production-ready agent. Train product engineers to extend and maintain agent skills independently.#Standards & Knowledge operations Author and maintain org-level standards for agents, including: naming conventions, context file structures and ownership rules, skill interface contracts (inputs/outputs, invariants, error handling), evaluation criteria and release quality bars. Establish and enforce "repo-as-discipline" practices so agent knowledge is: versioned, reviewable, discoverable, reusable; not trapped in prompt snippets or individual heads. Build and grow a shared agent skills library that teams can reuse and extend. Track and aggregate AI tooling/framework updates and external best practices, serving as a central intake so product teams don't each have to follow the entire AI landscape. Run internal knowledge-sharing sessions, showcases, and retrospectives to propagate learnings efficiently.

Negotiation

View details