Salt AI · 3 weeks ago
Senior Backend Platform Engineer - Distributed Systems
Salt AI is dedicated to providing reliable and transparent AI solutions that advance the underlying goals and purpose of life sciences teams. They are seeking a Senior Backend Platform Engineer with deep distributed systems experience to help build the core infrastructure of their AI platform for life sciences, focusing on designing high-performance systems that support AI model orchestration and secure scientific workflows.
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Responsibilities
Design and build scalable backend microservices using Python for AI workflow orchestration
Implement distributed systems for real-time AI model orchestration using Dapr and event-driven architectures
Build high-performance gRPC and RESTful APIs for inter-service communication
Design reliable message queuing and event streaming systems (Redis, Kafka, RabbitMQ)
Implement infrastructure-as-code using Terraform for multi-cloud deployments
Develop backend services for AI/ML workflow orchestration with strong reliability and observability
Optimize containerized workloads and GPU resource management in Kubernetes environments
Build data processing pipelines with emphasis on scientific data integrity and traceability
Collaborate with AI/ML engineers to integrate distributed backend services into the platform
Contribute to frontend development using React and TypeScript when needed for full-stack features
Participate in system design, code reviews, and architectural decision-making
Qualification
Required
5+ years of backend development with strong distributed systems experience
Expert-level Kubernetes experience (EKS, GKE, or self-managed clusters)
Proficiency Python or Golang, Typescript, Kotlin, etc for microservices development
Hands-on experience with Dapr, service mesh, or similar microservices frameworks
Strong understanding of event-driven architectures and message queuing systems
Experience building gRPC services and RESTful APIs
Solid DevOps background: Docker, Terraform, CI/CD pipelines, infrastructure automation
Experience with workflow orchestration systems (Argo Workflows, Kubeflow, Temporal, or similar)
Understanding of observability (OpenTelemetry, Prometheus, Datadog, or similar)
Cloud platform experience (AWS, GCP, or Azure) with multi-cloud awareness
Competency in frontend technologies (React, TypeScript) for occasional full-stack contributions
Excellent communication and collaboration skills in remote-first environments
Preferred
Experience with Next.js and modern frontend frameworks
Familiarity with NoSQL and vector databases for AI applications
Background implementing authentication systems (OAuth2, JWT)
Experience with real-time collaboration features using WebSockets
Knowledge of model serving frameworks (TensorFlow Serving, Triton)
Experience implementing feature flags and A/B testing systems
Background in life sciences or scientific computing
Experience with data lineage and provenance tracking
Knowledge of message queuing systems (Redis, RabbitMQ, Kafka)
Experience with API rate limiting and performance optimization
Contributions to open-source AI/ML ecosystem projects
Benefits
100% Employee Covered Medical, Dental, Vision Plan Base Plans (PPO & HMO)
Life Insurance
401k
& More
Company
Salt AI
Salt enables life sciences organizations to adopt and harness AI faster than before.
H1B Sponsorship
Salt AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2024 (1)
2023 (1)
Funding
Current Stage
Early StageTotal Funding
$32MKey Investors
a16z crypto
2023-01-19Seed· $32M
Recent News
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2025-01-21
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