(Senior) Cloud Service Engineer

JOB DESCRIPTION

Position Summary
We are looking for a qualified, creative, energetic and self-starting Server Engineer with wide experience in developing and optimizing web application.
Responsibilities
In order to seamlessly connect our applications and the infrastructure that runs them, we are responsible for automating infrastructure provisioning and operation using software techniques and approaches.
Service design and application development for integrating the AI system that supports our services with our private cloud.
Refactoring existing applications to continuously improve security and ease of use.
These are just some of our past achievements and current initiatives. You will be responsible for planning, developing, and operating the private cloud services that our engineers need. For that reason, we are seeking an engineer who is not limited to working in a specific field of work or technology.

JOB REQUIREMENT

Must:
Ability to develop Web services using Python or Golang
Bachelor's degree in Computer Science or equivalent knowledge and experience
Experience designing or developing Web services using the REST architecture
Experience designing or developing Web services using a microservice architecture
Understanding of container and virtualization technology, e.g: docker, kubernetes, rancher, …
Understanding of Infrastructure as Code
Basic English communication skills for chats and email
Prefer:
Experience designing or developing private or public cloud services
Deep understanding of network and server infrastructure
Deep understanding of OpenStack
Deep understanding of container and virtualization technology
Experience designing or developing Web services with architecture that is based on a cloud-native mindset
Ability to analyze situations and debug technology based on application metrics

WHAT'S ON OFFER

Package: Competitive package, including 13th month salary, and performance bonus every 6 months on top of monthly salary.
Allowances: Monthly team-building, transportation, and language training allowances
Fully-paid company trip, monthly Happy Friday, and various events throughout the year
Fully-paid social insurance and premium health insurance for employees and their family
Corporate stock options
Top-notch equipment & tools
Facilities for efficient working and winding down
Exclusive Store gift code for our employees
Opportunity to collaborate with a global team (Japan, Korea, Thailand, China, and Taiwan)
Professional development via Corporation-exclusive tech conferences and events

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:

Python, Golang

Location:

Ha Noi - Viet Nam

Working Policy:

Job ID:

J00483

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