Senior Software Engineer, OpenClaw Agent Platform

Responsibilities

• Own the infrastructure and runtime environment for Commure’s fleet of OpenClaw agents.
• Build, configure, deploy, and troubleshoot agents running across Linux-based virtual machines.
• Develop Python services, automation, operational tooling, and agent integrations.
• Design, build, and operate agent harnesses supporting tool use, memory, context management, permissions, scheduling, retries, and human escalation.
• Create a standardized platform for engineers to develop, test, deploy, and update agents safely.
• Deploy and operate workloads across Linux virtual machines, Kubernetes, and Google Cloud or AWS infrastructure.
• Use Bash and Linux tooling to investigate system behavior, automate environment management, and resolve production issues.
• Build systems for scheduling, background execution, queues, concurrency management, and long-running tasks.
• Develop integrations with internal services, databases, APIs, communication platforms, and operational tools.
• Establish secure approaches to secrets, credentials, identity, permissions, and access control for autonomous agents.
• Build evaluation frameworks measuring reliability, task completion, tool accuracy, latency, and cost.
• Implement observability across agent traces, prompts, tool calls, infrastructure, failures, and resource consumption.
• Create dashboards, alerting, and incident-response processes.
• Diagnose failures across application code, model behavior, third-party tools, networks, containers, virtual machines, and cloud infrastructure.
• Improve platform efficiency and resilience as usage and workload complexity grow.
• Convert agent prototypes into dependable production systems.
• Establish best practices for developing and operating autonomous agents.

Requirements

• Professional experience building and operating production software, infrastructure, or internal platforms.
• Strong proficiency in Python.
• Excellent Linux experience, including development, deployment, and debugging on virtual machines.
• Strong Bash and command-line skills, including shell scripting, process management, networking diagnostics, filesystem operations, package management, and log investigation.
• Experience managing software across virtual-machine fleets.
• Production experience with Google Cloud Platform or Amazon Web Services, including compute, networking, storage, identity and access management, and observability.
• Experience deploying Linux virtual machines and containerized workloads in cloud environments.
• Hands-on experience with Kubernetes, Docker, and production container workloads.
• Experience building infrastructure, deployment systems, internal developer platforms, or distributed application runtimes.
• Experience with CI/CD, infrastructure as code, configuration management, secrets management, and automated deployments.
• Hands-on experience with large language models, autonomous agents, or agent harnesses.
• Understanding of tool calling, memory, context management, planning, retries, evaluations, permissions, and human-in-the-loop execution.
• Experience monitoring and debugging distributed systems with logs, metrics, traces, dashboards, and alerts.
• Understanding of production reliability, failure recovery, idempotency, rate limiting, concurrency management, and incident response.
• Ability to balance experimentation with production security and reliability.
• Strong ownership and communication skills across product, infrastructure, security, and operations teams.

Nice to Have

• Experience building, extending, deploying, or operating an OpenClaw agent.
• Contributions to OpenClaw or another open-source agent framework.
• Experience operating autonomous or long-running AI-agent fleets.
• Experience with multi-tenant agent platforms or internal developer platforms.
• Experience with agent evaluation, tracing, replay, simulation, or regression testing.
• Experience with browser agents, computer-use agents, or agents interacting with external systems.
• Familiarity with model gateways, inference providers, prompt versioning, token accounting, and LLM cost optimization.
• Experience securing workloads that access sensitive data or high-impact production tools.
• Familiarity with Swift and native Apple client applications.
• Experience in healthcare, revenue cycle management, or another regulated industry.