Lead Software Engineer

ABOUT CLIENT

Our client is a leading software company, specializing in delivering innovative solutions to businesses worldwide.

JOB DESCRIPTION

Develop cloud services using various technologies such as C#, .NET, TypeScript, React, Kafka, and Terraform.
Ensure the security, scalability, and maintainability of the developed services.
Create and manage continuous integration, build management, and deployment scripts.
Generate new customer value in small increments delivered continuously to production.
Collaborate with teams to define the architecture and technical roadmap.
Manage and mentor a small group of engineers while creating a safe and inclusive environment for the team.
Work closely with product managers and designers to solve customer problems.
Make pragmatic decisions informed by high-level business objectives.
Provide mentorship and support to other engineers while maintaining an inclusive environment for the team.

JOB REQUIREMENT

A minimum of 8 years' experience in designing, developing, and operating cloud software at scale, with a strong hands-on technical approach to providing client solutions.
Proficiency in JavaScript ES6/ Typescript with experience in ReactJS, and C#, .NET.
Demonstrated expertise in designing & developing RESTful APIs (GraphQL desirable) and microservices-based systems, including troubleshooting and debugging in a microservice environment.
Experience in Cloud computing, particularly with Amazon Web Services (AWS).
Familiarity with unit testing and integration testing.
Strong communication skills in English and Vietnamese, both written and verbal.
Experience in technical leadership, people management, and mentoring other engineers.
Proficiency in managing risk, ambiguity, dependencies, and cross-functional stakeholders.
Ability to align engineering work with high-level organizational goals.
Demonstrated sense of ownership and accountability.
Experience working with distributed teams in global engineering organizations.
Proficiency in Agile development environments.
Adept at writing structured, well-documented, maintainable, and clean code.
Strong problem-solving and analytical skills.

WHAT'S ON OFFER

Competitive salary based on performance.
Annual 13th month salary.
Dedication bonus dispersed yearly.
Yearly salary evaluation tied to performance.
Comprehensive healthcare coverage and annual health check-ups.
Option for hybrid work (1-day WFH per week).
Office provides breakfast in the early morning and snacks in the late afternoon.
Team building budget available.
Company-sponsored annual team building trip.
Opportunities for participation in various clubs and activities.
Access to exclusive training programs for technical, soft skills and processes.
Language classes are available.
Programs for technical development.
Benefits for marriage, having a newborn, and bereavement.

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:

Frontend, ReactJS, .NET, Cloud, AWS

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J01714

Status:

Close

Related Job:

Lead Software Engineer (Distributed Computing)

Ho Chi Minh - Viet Nam


Product

  • Data Engineering
  • Backend
  • Spark
  • AI

Translate business objectives to technical solutions. Lead R&D to discover novel approaches and propose technical solutions. Lead the design and development of a next-generation AI-powered software transformation framework capable of accelerating the modernization of complex analytical applications. Own key architectural decisions for converting legacy computational tools into scalable cloud-native solutions. Define technical direction, engineering standards, and transformation methodologies for AI-assisted software modernization. Guide the use of AI agents, LLMs, and emerging AI engineering techniques to automate software analysis, code transformation, validation, and optimization. Lead technical investigations into how existing software systems can be restructured, decomposed, or re-implemented to operate efficiently in distributed environments. Collaborate with distributed computing specialists to design target architectures using Spark-based execution models for large-scale data processing. Build and guide the development of reusable transformation pipelines, automation tooling, and engineering frameworks that enable software modernization at scale. Establish validation strategies, quality frameworks, and technical review processes to ensure transformed systems maintain functional correctness and reproducibility. Drive architectural decisions around scalability, maintainability, performance, infrastructure efficiency, and long-term platform evolution. Mentor senior and mid-level engineers, review technical designs, and raise the engineering quality of the team. Partner with domain experts to understand application requirements and translate them into scalable, practical technical solutions. Prototype and evaluate new AI-assisted engineering approaches that improve transformation speed, engineering productivity, and software quality. Contribute to the organization's long-term strategy for AI-driven software modernization, distributed computing, and engineering automation.

Negotiation

View details

Head of Engineering

Da Nang - Viet Nam


Product

  • NodeJS
  • NestJS
  • ReactJS
  • Typescript
  • AWS
  • AI

Develop and communicate the engineering strategy, technical roadmap and priorities that align with product goals, customer outcomes and regulatory obligations. Assume responsibility for various aspects of the engineering process including discovery, estimation, architecture, development, testing, release, production support, incident response and continual improvement. Establish and build the engineering organisation by defining team structure and roles, participating in hiring, coaching and retaining engineers, and creating clear expectations and development paths. Lead internal engineers and oversee external engineering delivery partners to ensure agreed outcomes, quality standards, security requirements, and delivery commitments are met. Maintain a strong technical understanding to challenge designs, lead architecture and code reviews, resolve complex issues, and make informed decisions. Establish and enforce engineering standards for secure software development, code quality, automated testing, release management, and technical debt reduction. Assume responsibility for production reliability and operational readiness, including observability, capacity, availability, performance, incident management, and root-cause remediation. Integrate security and privacy into the engineering process, including encryption, auditability, secrets management, vulnerability remediation and data minimization. Collaborate with other teams to shape requirements, manage trade-offs, communicate risk and provide transparent delivery forecasts. Define measurable engineering objectives and own responsible AI adoption across various areas. Evaluate AI-enabled product opportunities and manage engineering suppliers and technology vendors. Contribute to budgeting, forecasting and prioritization, ensuring engineering expenditure produces measurable business value.

Negotiation

View details

Salesforce Engineer (IC2)

Ho Chi Minh - Viet Nam


Outsource

  • Salesforce

#Salesforce Engineering (Quote-to-Cash) Build and maintain Salesforce processes from Quote through to Cash Work full-stack on the platform: declarative (data model, Flows, validation, security model) and programmatic (Apex, Lightning Web Components) Implement changes safely on a production system used by Go-to-Market every day#Integrations & System Interfaces Maintain and further develop the integrations between Salesforce and internal/external systems (customer portal, HubSpot, license management, billing/ERP, and others) Design and operate integrations using Salesforce REST/SOAP APIs and standard integration patterns Own the health of these interfaces: monitoring, error handling, and data consistency#Collaboration with Go-to-Market / RevOps Partner with RevOps and GTM to translate business needs into robust technical implementations Challenge requirements where they create risk or technical debt Coordinate handoffs at the Lead-to-Quote / Quote-to-Cash boundary#Reliability, Security & Change Safety Protect a revenue-critical system: change control, testing, backup/rollback awareness Apply JTL security and compliance standards to Salesforce work#Optional / stretch With spare capacity, support tech-heavy Lead-to-Quote topics in Salesforce (optional; primary ownership of Lead-to-Quote stays with RevOps)

Negotiation

View details