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:

Senior Mobile Security Engineer (Forensics)

Ho Chi Minh - Viet Nam


Product

Analyze large-scale datasets and fraud incidents to uncover attack patterns, fraud clusters, and evolving adversarial behavior, including reconstructing attacker techniques and execution paths. Partner with the mobile development team to design and implement mobile SDK components to securely collect forensic-grade signals, enabling attribution of location spoofing, emulator abuse, rooted/jailbroken environments, and other environment manipulation. Execute and lead deep technical research into emerging mobile fraud and evasion techniques, translating findings into actionable forensic indicators. Build and mature end-to-end incident response capabilities across the stack, partnering with Data Science and ML teams to translate forensic insights into technical features, rules, and detection logic. Provide technical guidance and mentorship to junior engineers on best practices in mobile security, forensics, and data analysis.

Negotiation

View details

AI/ML Engineer

Ho Chi Minh - Viet Nam


Offshore

As an AI/ML Engineer, you'll work across the full ML lifecycle, from model design and experimentation to large-scale deployment and performance optimization, within a distributed, microservices-based, and cloud-native environment. Design, build, and optimize AI/ML pipelines for real-time and batch inference, leveraging modern MLOps practices. Collaborate with data engineers and software developers to integrate models into Our Client's banking platform, ensuring reliability, monitoring, and version control. Research, prototype, and productionize models in areas such as credit scoring, fraud detection, transaction classification, personalization, and conversational AI. Implement robust model evaluation, A/B testing, and drift detection frameworks to ensure accuracy and stability over time. Contribute to internal frameworks and libraries to standardize ML development workflows across teams. Explore and evaluate emerging techniques in LLMs, Generative AI, and reinforcement learning applicable to Our Client's ecosystem. Mentor junior engineers and collaborate closely with product and infrastructure teams to ensure model readiness for global scale.

Negotiation

View details

Senior Software Engineer (PHP/ Golang)

Ho Chi Minh - Viet Nam


Product

  • PHP
  • Golang

#Build great software: Analyze requirements, translate them into technical specifications, and estimate their implementation cost. Be a strong individual contributor, actively writing (or teaching AI how to write) high-quality, maintainable, and scalable code. Contribute to the technical roadmap: Identify and prioritise problems, gaps and technical debt in the product. Research and evaluate new tools, technologies and frameworks to enhance the product and improve development efficiency. Actively ensure the product is technically prepared for future challenges, especially considering security, maintainability, and scalability.#Co-own the product: We emphasize the culture of ownership, so our engineers are empowered and encouraged to provide product development suggestions. Provide technical input and insights to Product Managers regarding tradeoffs between scope, engineering capacity, and time constraints.#Raise the quality bar for the team: Champion best practices and actively participate in code and design document reviews to ensure high quality. Mentor and support other engineers, fostering their growth and development. Cross-team collaboration Maintain communication with other technical teams to avoid duplicate effort, incompatible solutions and solving problems other teams have already resolved.

Negotiation

View details