Middle Backend Engineer (Golang, Java, .Net, Scala)

ABOUT CLIENT

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

JOB DESCRIPTION

A highly motivated and experienced Backend Developer is needed to join a growing team. The job involves playing a key role in developing and implementing microservices for a complex, high-throughput system which requires exceptional security and scalability. This role requires a deep understanding of backend development principles, a passion for building robust and non-vulnerable systems, and a collaborative approach to problem-solving within an agile environment.
 
Participating in the design process and proposing solutions for specific components or modules
Implementing and maintaining backend services, ensuring code quality and adherence to best practices
Analyzing and troubleshooting issues in existing codebases written in Go, .Net, Java, or Scala
Contributing to code reviews and providing feedback to other team members
Working collaboratively with other developers to ensure seamless integration of new features

JOB REQUIREMENT

3 or more years of experience using various programming languages such as Java, Scala, Go, C#, or Scala.
Strong understanding of object-oriented programming principles and design patterns.
Hands-on experience in developing RESTful APIs and web services.
Familiarity with containerization technologies such as Docker and Kubernetes. Knowledge of IaC (Infrastructure as Code) tools like Helm and Terraform is a bonus.
Strong problem-solving and communication skills with the ability to collaborate effectively in a team.
Experience in participating in code reviews and offering constructive feedback.

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:

Golang, Java, .NET, Scala

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J01721

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