Software Engineer, Backend, Workflow Runner, San Francisco at Profound
San Francisco, California, United States -
Full Time


Start Date

Immediate

Expiry Date

17 May, 26

Salary

260000.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Rust, SQL, PostgreSQL, Distributed Systems, Kafka, NATS, Redis, SSE, WebSockets, API Authentication, Authorization, Multi-tenancy, Workflow Engines, Scheduling, CI/CD, Cloud Environments

Industry

technology;Information and Internet

Description
Profound is on a mission to help companies understand and control their AI presence. We're building the foundational agentic layer for modern companies. Our Workflow Runner is the execution backbone that turns complex AI work into reliable, composable workflows. You will shape the core primitives, execution, scheduling, state, and streaming, that power intelligent systems at scale. What you’ll do 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 Who you are 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 Location This is an on-site role based in our SoMa, SF office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates. For this role, the expected base salary range is $140,000 to $260,000. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
Responsibilities
The role involves building core workflow engine primitives for orchestrating agents, tools, and dataflows, and owning the real-time control plane including streaming events and reliable job orchestration. Responsibilities also include designing and shipping Rust-first backend services and APIs for graph or DAG workflow execution and supervision.
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