PreSales Solutions Engineer

ABOUT CLIENT

Our client is a leading company in the tech industry, specializing in providing innovative solutions for businesses

JOB DESCRIPTION

Collaborate with the sales team to understand client requirements and create customized software architectures utilizing Google Maps Platform.
Develop technical presentations, deliver product demonstrations, and create Proof of Concepts (POCs) demonstrating API integration for web and mobile apps.
Provide technical guidance to clients to enhance their API usage, improve geospatial data queries, and manage API quotas and billing strategies.
Lead the implementation and integration of Google Maps and other Google Cloud services, as well as provide ongoing technical support and troubleshooting for clients.
Contribute to technical architecture sections of proposals and RFP responses to ensure accuracy.
Keep abreast of the latest Google Maps and Google Cloud technologies, and integrate new features and services into client solutions.
Collaborate with various internal teams to align solutions with client needs, mentor junior team members, and assist with training initiatives.
Stay updated on geospatial trends, location intelligence, and modern web/mobile development frameworks.

JOB REQUIREMENT

More than 5 years of experience in Solution Engineering, PreSales, or Client-Facing Software Engineering roles.
Extensive background in software development, application architecture, or systems integration with a focus on cloud infrastructure/network administration.
Proven track record working with geospatial data, GIS tools, or location-based services is highly beneficial.
Extensive knowledge in APIs: Proficiency in RESTful APIs, web services, and integrating third-party SDKs into web and mobile applications (iOS/Android).
Development Frameworks: Competency in frontend/backend languages used in modern app development (e.g., JavaScript/TypeScript, Python, Java, Node.js).
Data & Location Intelligence: Understanding of geospatial concepts (geocoding, routing, spatial data analytics) and querying location data using databases (e.g., BigQuery, PostgreSQL/PostGIS).
Cloud for Developers: Profound understanding of cloud services from a developer's perspective (e.g., Serverless functions, App Engine, Cloud Storage) Conceptual knowledge of cloud infrastructure, CI/CD pipelines, or deployment architecture is a significant advantage.
A Bachelor's degree in Computer Science, Information Technology, or a related field.
Fluent in both English and Vietnamese.

WHAT'S ON OFFER

In the workplace, a growth mindset and a commitment to continuous learning are valued. Career progression and skill development are important, with opportunities to become a subject matter expert and tackle new challenges.

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:

Presale, Backend, Google Cloud

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Remote, Onsite

Job ID:

J02115

Status:

Active

Related Job:

Senior Full-Stack Engineer (AI Service Desk)

Ho Chi Minh - Viet Nam

Outsource

  • .NET
  • ReactJS
  • Azure

Create and maintain backend services and APIs using C# and .NET technologies Construct contemporary frontend applications and dashboard interfaces using React Establish scalable integrations between operational systems, analytics services, and reporting layers Possess full-stack development experience across frontend and backend systems Collaborate with engineering and product teams to translate business requirements into technical solutions Enhance application performance, maintainability, and scalability Engage in technical discussions, code reviews, and architecture decisions Contribute to engineering standards and development best practices

Negotiation

View details

Senior AI DevSecOps Engineer

Ho Chi Minh - Viet Nam

Product

  • Devops
  • AWS
  • Azure
  • Security

Management of CI/CD Pipeline: Ensure automation, security, and scalability across all stages of the development lifecycle. Infrastructure & Security: Design and implement secure multi-cloud infrastructure solutions leveraging cloud services, containerization, and orchestration tools. Policy as Code: Define and enforce security and compliance policies across Kubernetes clusters using OPA or Kyverno, ensuring guardrails are automated and auditable. AI & Platform Automation: Drive the adoption of AI-powered tools and workflows to automate infrastructure operations, optimize CI/CD pipelines, accelerate root cause analysis, improve security posture, and enhance engineering productivity. Observability & Alerting: Build and maintain a comprehensive observability stack with proactive alerting, dashboards, and runbooks for critical business flows and security events. Secret & Credential Management: Design and enforce secrets management practices across all environments ensuring zero hardcoded credentials in codebases and pipelines. Incident Response & On-Call: Own and continuously improve incident response processes, define runbooks, lead post-mortems, track MTTR, and participate in on-call rotation to maintain platform reliability and SLO adherence. Threat Modelling & Penetration Testing: Conduct regular threat modelling sessions with engineering teams and coordinate or perform penetration testing activities to proactively identify attack surfaces before they reach production. Code Security: Conduct regular code reviews and static/dynamic analysis to identify and remediate security vulnerabilities. Compliance and Best Practices: Ensure compliance with industry standards and best practices. Collaboration: Collaborate with development, operations, and security teams to foster a culture of automation and security-first thinking. Mentorship: Mentor junior engineers and other team members on security best practices. Documentation: Maintain thorough and up-to-date documentation of security policies, procedures, and incident reports. Trend Scouting: Stay updated with the latest trends in technology and AI to integrate innovative solutions into our processes.

Negotiation

View details

Senior Data Engineer (C++, Python, AI/LLM)

Ho Chi Minh - Viet Nam

Outsource

  • Data Engineering
  • C/C++
  • Python

Refine a wide array of structured and unstructured data to produce high-quality datasets for quantitative analysis and financial engineering. Improve data integrity and quality by creating validation tools and frameworks to assess the effectiveness of data enrichment pipelines. Gain expertise in machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors in the data. Derive insights from large-scale datasets and collaborate with research teams to pinpoint opportunities for tradable signals. Create utility tools to automate software development, testing, deployment, and monitoring workflows. Offer technical support to global researchers, including diagnosing technical issues, troubleshooting Python and C++ code, and suggesting scalable fixes and improvements. Troubleshoot and resolve issues in C++ applications and data pipelines with a strong focus on performance, stability, correctness, and maintainability. Investigate and implement AI/LLM-based solutions to enhance data processing, workflow efficiency, troubleshooting, documentation, and research support processes.

Negotiation

View details