Middle DevOps Engineer (SRE, Kubernetes)

ABOUT CLIENT

Our client is focusing on providing end-to-end solutions

JOB DESCRIPTION

We are looking for a capable DevOps/SRE/Platform Engineer to join our team and contribute to the development of robust systems. This role offers the opportunity to have a significant impact on our product and address stimulating technical challenges in a supportive and collaborative setting.
Manage infrastructure and applications on the cloud
Address performance and security issues with guidance
Streamline routine tasks and contribute to documentation
Work alongside development teams for deployments and troubleshooting
Participate in on-call rotations and incident response efforts

JOB REQUIREMENT

Must have 3+ years of experience in DevOps, SRE, or Platform Engineering roles
Must have a strong understanding of Kubernetes fundamentals and experience deploying and managing applications on Kubernetes. CKA certification is preferred.
Must have experience with Infrastructure as Code (IaC) using tools like Terraform or similar, and practical experience writing and managing infrastructure configurations
Proficiency in coding with Python or Go (preferred) for basic automation tasks is required
Experience with CI/CD pipelines and related tooling (e.g., Jenkins, GitLab CI) is necessary. Understanding of CI/CD principles and practical experience building and maintaining pipelines is a must
Familiarity with monitoring and logging systems (e.g., Prometheus, Grafana, ELK stack) is expected
Strong English reading and writing skills are required, with an interest in working in an international environment with clients from various regions.

WHAT'S ON OFFER

Generous compensation package including a 13th-month bonus and performance incentives
Overtime pay
Monday to Friday work schedule, with 12 annual leave days and 11 public holidays
Chance to improve English skills by engaging with international clients and products
Regular salary reviews based on performance
Monthly team-building exercises
Opportunities for company trips
Full employee insurance as mandated by law
Yearly health check-ups
Access to personal development courses, covering technical and non-technical programs
Hands-on experience with advanced technologies
Complimentary snacks, coffee, tea, and cakes provided

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:

Outsource

Technical Skills:

Devops

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J01549

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