Senior Engineer (Backend)

ABOUT CLIENT

Our client is a leading research company specializing in technology innovation

JOB DESCRIPTION

Plan and construct the API Platform with a strong emphasis on reliability, speed, and an exceptional developer experience.
Create user-friendly APIs and SDKs that simplify developers’ access to and integration of multimodal AI capabilities.
Deploy and refine AI/ML models in scalable production environments in close collaboration with research and applied ML teams.
Oversee a contemporary, cloud-native infrastructure stack, utilizing Kubernetes, Docker, and infrastructure-as-code (IaC) utilities.
Ensure platform dependability by developing telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery systems.
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 precise access control, usage metering, and billing integration.
Continually enhance platform performance, cost-efficiency, and observability to accommodate global scale serving millions of users.

JOB REQUIREMENT

At least 3 years of experience in developing and operating large-scale, production systems with high uptime expectations
Proficiency in containerization and orchestration tools such as Kubernetes, Docker, Helm, and service mesh technologies like Istio or Linkerd
Strong command over cloud platforms like AWS, GCP, or Azure, including expertise in IAM, networking, and serverless tooling
Proficient in Python and JavaScript/TypeScript, with practical knowledge of backend frameworks like FastAPI, Express
Deep understanding of API architecture and design patterns, including WebRTC/Websockets, REST, gRPC, OpenAPI/Swagger, authentication methods like OAuth2, API keys, and versioning
Experience with various databases, including PostgreSQL, Redis, and modern vector databases like Pinecone, Weaviate, FAISS
Familiarity with CI/CD pipelines, GitOps practices, and relevant tools such as GitHub Actions, Argo CD, or Jenkins
Comfortable with monitoring and observability tools like Prometheus, Grafana, Datadog, or OpenTelemetry
Bonus Experience
Familiarity with MLOps tools and AI workflows, including model versioning, inference pipelines, and model registries
Understanding of access control systems such as ACLs, RBAC, multi-tenant security, and isolation
Knowledge of billing systems, rate limiting, chargeback models, quota enforcement, and usage metering
Previous experience working on developer platforms or API products with a strong emphasis on UX and documentation

WHAT'S ON OFFER

Work remotely in an environment that promotes open-source collaboration
Enjoy 14 days of leave and unlimited sick days
Access to GPUs, AI credits, opportunities for fast career progression, and other perks.

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:

Python, NodeJS

Location:

Ho Chi Minh - Singapore

Working Policy:

Onsite, Remote

Salary:

Negotiation

Job ID:

J01840

Status:

Close

Related Job:

PreSales Solutions Engineer

Ho Chi Minh - Singapore

Product

PreSales Support: Collaborating with the Sales team to understand client needs and develop tailored solutions using Google Maps and Google Cloud services. This involves conducting technical presentations, product demonstrations, and creating proof of concepts (POCs) for prospective clients, as well as contributing to proposals and RFP responses with detailed technical information. Post-Sales Support: Leading the technical implementation of Google Maps and Google Cloud services, ensuring smooth deployment and integration. Providing ongoing technical support and troubleshooting for clients after implementation, working closely with cross-functional teams to ensure client satisfaction and build long-term relationships. Technical Expertise: Staying up-to-date with the latest Google Maps and Google Cloud technologies, serving as a subject matter expert (SME) for both internal teams and clients. Integrating new features and services into client solutions and providing guidance on best practices. Collaboration: Working closely with Sales, Product, Infrastructure, Data, and Engineering teams to align solutions with client needs and company goals. Mentoring junior team members and contributing to training initiatives.

Negotiation

View details

Technical Lead

Ho Chi Minh - Viet Nam

Product

  • NodeJS
  • Python

#The tech stack that we use consists of the following: Front-end: Flutter, Firebase suite (Authentication, Firestore, Storage, Messaging), Native iOS / Android Back-end: Node.js (NestJS / TypeScript), GCP (PubSub, Cloud Tasks, Functions, …), TypeScript, Python DevOps: GitHub Actions, GCP (Cloud Build, Cloud Run), Docker Analytics: GCP DataStudio, BigQuery, Google Analytics, UXcam, CleverTap, Adjust#Tech expertise required to be successful: Lead the backend development team, providing technical direction, mentorship, and best practices. Oversee code reviews and ensure adherence to clean coding standards and design principles. Design and implement scalable, secure, and high-performance microservices-based architectures. Architect and implement agentic AI workflows and RAG (Retrieval-Augmented Generation) systems to drive personalized user interactions and automated coaching features. Oversee the data pipelines and infrastructure required for real-time AI model inference, ensuring high-performance and low-latency integration within a microservices-based environment. Collaborate related stakeholders to align on requirements and delivery timelines. Optimize application performance, monitor system reliability, and troubleshoot issues proactively. Advocate for CI/CD pipelines, automated testing, and robust version control strategies. Document key architectural decisions, APIs, and processes for internal use.

Negotiation

View details

Chief Technology Officer

Ha Noi - Viet Nam

Product

  • Cloud
  • Backend

Planning & designing overall system architecture: Creating a Technology Roadmap for a Game Server system with high concurrency and low latency for global players. Cost optimization: Deciding on the strategy for using Cloud infrastructure (AWS, GCP, Azure) or Hybrid Cloud to balance performance and operational expenses. High-level consultation: Participating in the Executive Board to address the relationship between speed-to-market of features and system stability. Tech-stack selection: Evaluating and finalizing programming languages (Go, C++, Java, Node.js) and processing models (Microservices vs Monolith) suitable for the complex logic of the game. Scalability solution: Directing the development of Auto-scaling, Load Balancing mechanisms, and managing Player State on large clusters. Data management: Designing Database structure (SQL/NoSQL) and Cache system (Redis, Memcached) to handle billions of queries daily without congestion. Ensuring Uptime: Building real-time monitoring and alerting systems to maintain 99.99% Availability. Network security: Implementing solutions to combat DDoS attacks, game fraud (Anti-cheat), and comprehensive user data security. Infrastructure & CI/CD: Standardizing automatic deployment processes to ensure game updates (Hotfix/Update) do not disrupt players. Deployment strategy & Optimization: Developing plans to optimize Cloud Services costs (AWS/GCP/Azure), evaluating the use of Spot Instances, Reserved Instances, or Private Cloud solutions to save operational budget. Meanwhile, establishing 24/7 monitoring and incident response systems.

Negotiation

View details