Normal Computing

Software Engineer, Infrastructure

New York City

Sponsorship not specified$10k-$100kDetected 6 days ago

Distributed SystemsFull-Stack DevelopmentPostgreSQLRedisCloud PlatformsKubernetesAPI DevelopmentLLMsAgentic AIAccessibilityResearch

About the role

These systems coordinate workloads across distributed environments, execute code and tools securely, preserve state across long-running sessions, and recover cleanly from failures.
Your work will turn ambitious AI prototypes into dependable products used in real customer workflows.
The role spans backend, AI, and platform engineering.

Build the services that manage agent execution, session lifecycles, long-running workflows, and distributed workloads.
Design reliable services, data models, and internal APIs used by product engineers, AI engineers, and execution systems.
Develop clear models for persistence, retries, queues, leases, cancellation, recovery, and other distributed-systems concerns.
Build software that schedules and manages containerized workloads in Kubernetes-backed environments, including lifecycle, isolation, autoscaling, and resource management.
As a Software Engineer at Normal, you will build the backend runtimes and distributed systems behind our AI products.
You'll design orchestration services, execution environments, internal APIs, persistence layers, and observability systems that allow AI agents to perform long-running work reliably.
Runtime and Orchestration: Build the services that manage agent execution, session lifecycles, long-running workflows, and distributed workloads.
Backend Systems and APIs: Design reliable services, data models, and internal APIs used by product engineers, AI engineers, and execution systems.
State and Failure Handling: Develop clear models for persistence, retries, queues, leases, cancellation, recovery, and other distributed-systems concerns.
Execution Environments: Build software that schedules and manages containerized workloads in Kubernetes-backed environments, including lifecycle, isolation, autoscaling, and resource management.

4+ years of software engineering experience in backend systems, distributed systems, developer platforms, production infrastructure, or a related area.
Experience designing and operating production services where reliability, observability, and maintainability matter.
Experience reasoning about distributed state and failure modes, including retries, queues, leases, scheduling, idempotency, and long-running workflows.
Practical experience with containers and Kubernetes-backed systems, including workload lifecycle, networking, resource limits, and production debugging.
Experience with production data systems such as Postgres, Redis or Valkey, and object storage.
A track record of designing APIs and abstractions that other engineers can use confidently.
Experience with secure or sandboxed code execution.

Make evolving systems easier to operate through thoughtful metrics, tracing, debugging tools, and well-defined failure modes.
Its focus is the application and runtime layer but not general-purpose cloud infrastructure or company-wide developer operations.

Normal Computing is an Equal Opportunity Employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations

This listing is sourced directly from Normal Computing's careers page and normalized into a canonical job model.