Senior Engineer (Backend)

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.

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

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

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.

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666