Orchestration Engineer

Build highly reliable execution engines capable of coordinating workloads across Kubernetes, containers, serverless environments, and cloud infrastructure.

Design intelligent scheduling mechanisms that optimize execution order, resource utilization, and workflow throughput.

Implement fault-tolerant orchestration with automatic retries, checkpointing, rollback strategies, and failure recovery.

Optimize workflow execution latency while maintaining scalability and operational efficiency.

Build resilient distributed systems that coordinate services across multiple compute environments.

Design scalable control planes supporting thousands of concurrent workflow executions.

Implement event-driven architectures using queues, messaging systems, and asynchronous execution models.

Improve platform reliability through intelligent resource management and orchestration policies.

Build intuitive APIs and SDKs that enable developers to define, deploy, and manage workflows with minimal complexity.

Integrate orchestration capabilities with model serving platforms, vector databases, APIs, CI/CD pipelines, and enterprise systems.

Design reusable connectors for cloud services, databases, messaging systems, and third-party enterprise applications.

Improve observability across workflow execution through comprehensive logging, tracing, and monitoring.

Establish best practices for workflow reliability, testing, documentation, and platform maintainability.

Conduct thorough code reviews while driving engineering standards across orchestration services.

Collaborate closely with product, AI engineering, infrastructure, and customer success teams to continuously improve platform capabilities.

Mentor engineers and contribute to architectural decisions that shape Aion's orchestration platform.

AI Workflow Automation: Experience orchestrating LLM pipelines, multi-agent systems, Retrieval-Augmented Generation (RAG) workflows, or autonomous AI applications.

Cloud & Platform Engineering: Experience with AWS, Azure, GCP, Infrastructure-as-Code (Terraform), Kubernetes Operators, or platform engineering.

Enterprise Integrations: Experience integrating enterprise applications including CRMs, ERPs, identity providers, messaging systems, and SaaS platforms.

Developer Platforms: Experience building Internal Developer Platforms (IDPs), platform tooling, CLI utilities, SDKs, or developer productivity systems.

Systems Programming: Experience building control planes, schedulers, operators, distributed coordination services, or large-scale automation systems.

Founder-level ownership and bias for action.

Strong strategic thinking and ability to connect technical decisions to business impact.

Excellent communication and mentoring skills.

Thrives in ambiguity, fast-paced environments, and early-stage startup culture.

Work directly with high-pedigree founders shaping technical and product strategy.

Build infrastructure powering the future of AI compute globally.

Significant ownership and impact with equity reflective of your contributions.

Competitive compensation, flexible work options, and wellness benefits.