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Mid LevelFull-timeRustPostgreSQLRedisGitAIAPI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Workflow Engineer to join our team at Profound. You will help build the foundational agentic layer for modern companies, focusing on creating reliable, composable workflows for AI systems.
Key Responsibilities
- →Build core workflow engine primitives used to orchestrate agents, tools, and dataflows
- →Own the real-time control plane, including streaming events, reliable job orchestration, idempotency, and replay
- →Ship high-leverage systems that turn prototypes into production-grade, scalable workflows
- →Design and ship Rust-first backend services and clean APIs for creating, executing, and supervising graph or DAG workflows
- →Build reliable job orchestration with multiple response modes including blocking, streaming, and fire-and-forget, with durable state
- →Strengthen tenant isolation, security, and access patterns across the platform
- →Improve runtime behavior including scheduling, backpressure, timeouts, retries, and idempotency
- →Evolve schemas and repositories and own migrations, indexing, and query performance
- →Instrument with meaningful telemetry and raise the bar on testing and operational excellence
- →Partner closely with product, frontend, and data teams to deliver high-impact features
Requirements
- ✓Strong portfolio or GitHub showing backend or system design depth
- ✓Proficient in a modern systems language, with Rust as ideal, and comfortable owning services end to end in production
- ✓Solid experience with SQL and relational data modeling, with hands-on PostgreSQL experience
- ✓Experience with distributed systems patterns including messaging or streaming using Kafka or NATS, retries, idempotency, and backpressure
- ✓Familiarity with caching and state systems such as Redis and real-time delivery using SSE or WebSockets
- ✓Strong grasp of API authentication and authorization, multi-tenancy, and security best practices
- ✓Pragmatic, collaborative, and product-minded, thriving in a fast, in-person environment
- ✓Experience building or operating workflow engines, schedulers, or agent runtimes
- ✓Experience with Postgres RLS and data governance at scale
- ✓Practical exposure to containerization, CI or CD, and cloud environments
- ✓Background integrating external AI or model providers and securing provider configurations
- ✓Experience working with Rust 2024, PostgreSQL, Redis, Kafka or NATS, containers, modern CI or CD, and real-time streaming to clients
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