Software Engineer

ABOUT CLIENT

Our client is a leading research company specializing in technology innovation

JOB DESCRIPTION

Create and develop the API Platform with a focus on reliability, performance, and providing a top-tier developer experience
Deploy and enhance AI/ML models in scalable, production environments in collaboration with research and applied ML teams
Manage and advance a contemporary, cloud-native infrastructure stack utilizing Kubernetes, Docker, and infrastructure-as-code (IaC) tools
Ensure platform dependability by designing and implementing telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery mechanisms
Contribute to developer and operations workflows, encompassing CI/CD pipelines, release management, and on-call rotations
Work collaboratively across teams to implement secure APIs with fine-grained access control, usage metering, and billing integration
Continuously enhance platform performance, cost-efficiency, and observability to accommodate scaling and serve users globally.

JOB REQUIREMENT

Need at least 3 years of experience building and operating large-scale, production systems with real-world usage and uptime expectations
Must have strong experience with containerization and orchestration: Kubernetes, Docker, Helm, and service mesh technologies (e.g., Istio or Linkerd)
Proficiency with cloud platforms: AWS, GCP, or Azure, including experience with IAM, networking, and serverless tooling
Strong coding skills in Python and JavaScript/TypeScript, with familiarity in backend frameworks (e.g., FastAPI, Express)
Deep knowledge of API architecture and design patterns, including WebRTC/Websockets, REST, gRPC, OpenAPI/Swagger, authentication (OAuth2, API keys), and versioning
Experience with databases such as PostgreSQL, Redis, and modern vector databases (e.g., Pinecone, Weaviate, FAISS)
Familiarity with CI/CD pipelines, GitOps practices, and tools like GitHub Actions, Argo CD, or Jenkins
Comfortable with monitoring and observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry

WHAT'S ON OFFER

Join an exceptional research team to work on significant and impactful projects
Take charge of and influence the primary training code infrastructure utilized by the team
Engage with actual models, real data, and substantial scale challenges, not small-scale problems
Contribute to bridging the gap between research speed and engineering excellence
Enjoy a flexible work setting with a culture that treasures depth, transparency, and inquisitiveness

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, Devops, Cloud, Kubernetes, Python, Javascript, Typescript

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J02000

Status:

Close

Related Job:

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

Senior Backend Engineer

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • Golang
  • Ruby

Develop, construct, and operate backend services for a leading B2B SaaS platform serving the construction industry. Establish an organized, maintainable, and scalable software architecture. Identify and address performance bottlenecks such as query optimization, caching, and asynchronous processing. Uphold software quality with automated testing, code reviews, observability, and CI/CD practices. Validate AI-generated code to ensure security, accuracy, and maintainability. Provide guidance and support to engineers to enhance the team's engineering standards. Backend: Ruby (on Rails), Golang, Amazon Aurora (MySQL), DynamoDB FrontEnd: Nuxt.js, Vue.js, Next.js, ReactJS Mobile App: Kotlin, Swift, Flutter Deploy/ Build: AWS Amplify, CodePipeline, CodeBuild, CircleCI, GitHub Actions Others: Swagger, Docker, Figma, Confluence, JIRA, esa, gRPC Infrastructure: Helm, Terraform Automation test: Autify, Magicpod

Negotiation

View details