Director of Software Engineering

JOB DESCRIPTION

Lead and manage the Software Development process and teams to deliver software, infrastructure and architecture that meets the needs of customers;
Build and lead the software team to deliver customer-facing software products that fully utilize and show-off Earable’s hardware product. 
Work with the business team and BoD to design, architect, and implement  new software functions and features. 
Ensure adherence to continuous improvement practices as required to meet quality and time to market imperatives. 
Ensure delivery consistent with Agile processes across the teams;
Work effectively with Product Managers and Product Owners to ensure delivery against agreed priorities;
Implement mechanisms to monitor, manage and provide progress on all software development activities;
Accountable for the on-time and quality delivery of software development projects;
Create, implement and maintain a continuous improvement plan for software development;
Working closely with the Product Managers with the aim of meeting current and future user needs;
Ability to work independently in a fast paced, unstructured environment. 

JOB REQUIREMENT

10+ years of relevant and diverse technical experience, mainly building, deploying and operating high traffic applications. 
You have demonstrated experience building and operating directly to consumer products. 
Experience in developing large systems in commercially available software. 
You are well versed in technology solutions, data, security, and regulatory compliance.
Experience in wireless and wearable electronic technologies with end-end product support.
Strong analytical skills and ability to guide critical decisions.
Proven track record of working in a fast-paced innovative work environment.
Must be highly motivated, self-starter with innovation and integrity.

WHAT'S ON OFFER

Working with a mission driven team. 
Creating impactful product 
You may have the opportunity to work in the US. 
Competitive salary based on level and productivity. 

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:

Backend, C/C++

Location:

Ha Noi - Viet Nam

Working Policy:

Job ID:

J01316

Status:

Close

Related Job:

Software Engineer (Node.js) - Database

Ho Chi Minh - Viet Nam

Product

  • NodeJS

Create system architectures, set coding standards, and build cloud-native solutions. Write Node.js code, improve system performance, and address intricate software integration issues. Supervise testing, deployment, and thorough documentation of integrated systems. Guide junior engineers, collaborate across teams, and make sure solutions align with business needs and global standards. Actively participate in all Agile software development stages, such as generating user stories and leading sprint planning. Collaborate with international companies, showing flexibility to accommodate US and EU time zones occasionally.

Negotiation

View details

Software Engineer (Node.js) - Platform Security

Ho Chi Minh - Viet Nam

Product

  • NodeJS

Create system architectures and coding standards for cloud-native solutions. Write high-quality Node.js code, enhance system security and reliability, and solve complex software integration problems. Develop platform security controls for web applications, APIs, and cloud services, covering authentication, authorization, session management, secrets management, encryption, and audit logging. Identify and address security risks through threat modeling, secure code reviews, automated security testing, dependency scanning, and investigation of security-related issues. Manage the testing, deployment, and documentation of integrated systems. Guide junior engineers, collaborate with cross-functional teams, and ensure solutions align with business needs and international standards. Actively participate in Agile software development phases, including creating user stories and sprint planning. Collaborate with multinational organizations, and be flexible to occasionally adapt to US and EU time zones.

Negotiation

View details

AI Agent Ops Engineer

Ho Chi Minh - Viet Nam

Product

  • AI
  • Backend

Responsible for the design, construction, and upkeep of production-grade AI agent systems, including areas such as context engineering, instruction architecture, secure execution boundaries, tool integrations, multi-step orchestration, memory strategies, and reliability patterns. Manage the complete lifecycle of agents from prototyping to deployment, monitoring, and iterating. Develop and maintain an evaluation pipeline to measure agent quality, identify regressions, and enforce deployment gates through the use of golden datasets, scenario suites, and automated checks. Instrument agents and agent platforms for production observability, such as structured logging, tracing, metrics, latency monitoring, cost monitoring, and analysis of tool-call success rates and failures. Establish operational readiness standards, including rollback criteria, incident response playbooks, and recovery paths for common failure modes. Collaborate with product engineering teams to identify high-value use cases suitable for agent automation, operating in a Central Agent Ops role to enable AI product builders through AI enablers. Translate business workflows into tasks executable by agents and provide coaching to engineers on context engineering best practices, harness design, regression testing patterns, agent skill design, and tool-contract discipline. Streamline the onboarding process for teams adopting AI capabilities and train product engineers to independently extend and maintain agent skills. Develop and maintain organizational standards for agents, including naming conventions, context file structures, skill interface contracts, evaluation criteria, and release quality benchmarks. Establish and enforce "repo-as-discipline" practices to ensure that agent knowledge is versioned, reviewable, discoverable, and reusable. Cultivate a shared agent skills library for teams to reuse and extend, while keeping track of AI tooling/framework updates and external best practices to provide centralized information to product teams. Facilitate internal knowledge-sharing sessions, showcases, and retrospectives to efficiently propagate learnings.

Negotiation

View details