Senior DevOps Engineer

ABOUT CLIENT

Our client is a leading technology company specializing in graphics processing units (GPUs) and artificial intelligence (AI).

JOB DESCRIPTION

Contribute to the development and maintenance of advanced machine learning software and frameworks with a focus on performance and scalability.
Improve CI/CD pipelines to make the development, testing, and deployment of large-scale machine learning models more efficient.
Set up and manage cloud infrastructure for continuous integration, delivery, and deployment, ensuring high availability and scalability.
Work closely with teams from various departments to enhance development workflows and software delivery speed and quality.
Address and resolve complex issues related to software development, containerization, and cloud infrastructure in production environments.
Create and update detailed documentation for development and deployment processes.
Effectively communicate with both technical and non-technical stakeholders to align expectations and provide transparency throughout the release and deployment process.
Oversee code reviews, testing, and debugging to maintain high-quality code and streamline workflows.
Provide mentorship and guidance to junior engineers to support their professional growth and improve team capabilities.

JOB REQUIREMENT

A degree in Computer Science, Information Systems, Engineering, or related fields or equivalent experience.
5+ years of software engineering experience with expertise in CI/CD, cloud infrastructure, and advanced machine learning frameworks.
Proficiency in automation and orchestration tools like Docker, Kubernetes, Jenkins, and Terraform or similar CI/CD Tools.
Experience with cloud platforms such as AWS, Azure, or GCP.
Strong programming skills in Python and/or other relevant languages.
Experience in creating and implementing scalable software solutions.
Strong problem-solving and analytical skills focused on practical and scalable solutions.
Ability to work effectively in a collaborative environment and handle multiple tasks and projects.
Familiarity with version control systems and configuration management.
Demonstrated ability to quickly learn and adapt to new technologies.
Extensive experience with advanced AI tools and frameworks, including LLMs and NVIDIA Blueprints.
Contributions to open-source projects, showcasing a collaborative and innovative mindset.
Experience in deploying machine learning models on edge devices or platforms.

WHAT'S ON OFFER

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:

Devops, AI, Cloud

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Onsite

Job ID:

J01967

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

Senior Account Executive

Ho Chi Minh - Viet Nam


Outsource

  • Account Management
  • Sale

As a Senior Account Executive, you are the primary engine of Our Client's revenue growth. You do not simply transact; you are the captain who navigates complex client challenges and steers high-value opportunities from a qualified lead to a signed, long-term partnership.Your mission is to own the full sales cycle, acting as a trusted guide ("Sherpa") who translates intricate business needs into tangible, high-quality technical solutions. You will be the crucial link between the client's vision and Our Client's delivery excellence. Lead the Commercial Expedition: Own the relationship with prospective clients from the first sales-led call to the final contract negotiation, establishing trust and demonstrating value at every step. Architect the Solution: Move beyond selling resources to architecting solutions. Conduct deep consultative discovery to unearth client pain points and collaborate with internal technical experts to design the perfect engagement model. Drive Predictable Revenue: Build and manage a robust pipeline, providing accurate forecasting and executing with a discipline that ensures you meet and exceed your revenue targets#KEY RESPONSIBILITIES#1. Full-Cycle Deal Execution & Closing Take ownership of Sales Qualified Leads (SQLs) provided by the Sales Development Representatives (SDRs) and manage the entire sales expedition to a successful summit (close). Lead sophisticated contract and pricing negotiations, focusing on Value-Based Pricing, Gross Margin, and long-term partnership value over commoditized, low-margin deals. Consistently meet and exceed quarterly and annual quotas for closed-won revenue and new Annual Recurring Revenue (ARR).#2. Consultative Selling & Solution Orchestration Conduct deep-dive discovery sessions with C-level executives, VPs of Engineering, and Product Managers to understand their core business challenges, operational bottlenecks, and strategic aspirations. Collaborate seamlessly with Our Client's technical leads and Sales Engineers to architect tailored solutions, whether they involve custom software development, dedicated engineering teams, or advanced AI implementations. Prepare and deliver compelling proposals, business cases, and presentations that articulate a clear value proposition and ROI for the client.#3. Pipeline Management & Forecasting Discipline Operate with a high degree of autonomy, meticulously managing your pipeline of opportunities within the CRM. Provide accurate, reliable weekly and monthly sales forecasts to leadership, adhering strictly to our established RevOps framework. Ensure all client interactions, deal stages, and next steps are logged with precision, creating a transparent and predictable sales motion.#4. Strategic Internal Collaboration Work in a tight-knit feedback loop with the SDR team to refine lead quality and optimize outbound targeting. Act as the "voice of the climber" (customer) to the marketing and delivery teams, providing field insights that help shape service offerings and go-to-market messaging. Partner with the CRO on tier-one strategic accounts, leveraging executive sponsorship to navigate enterprise complexity and accelerate deal cycles.#YOUR FIRST 90 DAYS: KEY MILESTONES Master the Playbook: Internalize Our Client's core service offerings, "Digital Sherpa" value proposition, and key case studies. Shadow technical and delivery teams to build a foundational understanding of our capabilities. Take Command of the Pipeline: Assume ownership of the existing pipeline of qualified leads, establishing a rhythm of weekly calls, follow-ups, and discovery sessions. Secure the First Summit: Successfully navigate your first deal through the entire sales cycle, from initial scoping to a signed contract, demonstrating mastery of the Our Client sales process

Negotiation

View details