Backend & Cloud Infrastructure Engineer
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Role details
Tech stack
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Job description
Weβre looking for a Backend & Cloud Infrastructure Engineer to help build and scale the systems behind Sekai. In this role, youβll work across backend development and cloud infrastructure, building high-performance APIs, supporting AI/LLM workloads, and ensuring our platform is scalable, reliable, and efficient.
Youβll have end-to-end ownership, from designing core backend services to optimizing AWS infrastructure and improving overall system performance. Itβs a great opportunity for someone who enjoys both building products and solving complex infrastructure challenges in a fast-moving startup environment.
Responsibilities
Backend Development
- Own the architecture, development, and evolution of core backend services. Write high-quality code in Python / Go, and lead design reviews and code reviews.
- Design and build high-performance, highly available RESTful / gRPC APIs that serve high-traffic consumer features and AI / LLM workloads.
- Design and tune async task processing and message queues (Kafka, Celery, SQS, etc.) for throughput and data consistency.
Cloud Platform & Reliability
- Plan, build, and govern our AWS infrastructure (ECS / Lambda / RDS / S3 / CloudFront / VPC, etc.), and drive Infrastructure as Code with Terraform or similar tools.
- Build and improve monitoring, logging, and alerting (Datadog, CloudWatch, Sentry). Keep alerts actionable and production stable.
- Lead incident troubleshooting, on-call response, and postmortems. Keep improving capacity planning, autoscaling, and disaster recovery.
- Own cloud cost and security: remove idle resources, enforce least-privilege IAM, and manage multiple accounts and internal network access.
Infrastructure & Platform
- Turn shared business logic into reusable services, middleware, and internal tools, and improve CI/CD so the team ships faster and more reliably.
Requirements
-
5+ years of backend development experience, including at least 2 years in cloud or infrastructure work.
- Strong proficiency in Python or Go, with hands-on experience building large projects on frameworks such as FastAPI, Django, or Gin.
- Solid knowledge of core AWS services, with production experience in architecture, operations, and cost optimization.
- Experience with Docker and ECS / Kubernetes, and with IaC tools such as Terraform.
- Strong MySQL / PostgreSQL schema design and performance tuning skills. Familiar with Redis, Kafka, Nginx, and other common middleware.
- Strong production debugging skills, with on-call and postmortem experience. Good communicator who can own a project end to end, from design to launch.
Preferred Qualifications
- Backend experience with AI / LLM applications, such as model integration, agent systems, or managing LLM cost and reliability.
- Experience supporting large-scale, high-traffic consumer products.
- Multi-cloud (AWS + GCP), cloud migration, or account consolidation experience; familiarity with BigQuery or similar data platforms.
- Knowledge of networking and security, such as VPN / zero trust and compliance.
Benefits & conditions
- Top tier salary in the market + competitive equity
- Full Health insurance
If you are excited about building at the frontier of AI, consumer social, and interactive entertainment, we would love to hear from you.
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