Job Overview
Location
Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
February 12, 2026
Full Job Description
đź“‹ Description
- • As a Site Reliability Engineer (SRE) at HappyRobot, you will be at the forefront of ensuring the operational resilience and scalability of our AI-native operating system. This is a pivotal role where you will own the stability, observability, and debugging workflows that are critical to keeping our complex, mission-critical systems running smoothly and autonomously.
- • You will be the primary point of contact for untangling intricate failures in real-time, leveraging your deep technical expertise to diagnose and resolve issues that impact our customers and internal operations. Your ability to remain calm and methodical under pressure will be essential as you navigate live incidents, coordinating efforts to restore service with minimal disruption.
- • A significant part of your role will involve designing and implementing tools and processes that transform potential chaos into clarity. This includes developing solutions that enhance our monitoring capabilities, automate repetitive tasks, and provide actionable insights into system performance and health.
- • You will play a key role in shifting our operational paradigm from a reactive stance to a proactive one. This involves identifying potential failure points before they impact users, implementing preventative measures, and fostering a culture of reliability across engineering teams.
- • This is a high-impact, high-trust position offering substantial autonomy. You will have the opportunity to shape how reliability is approached and implemented within HappyRobot, directly contributing to reducing incident load, building essential internal tooling, and significantly improving developer focus and overall system uptime.
- • Your responsibilities will extend to collaborating closely with development teams to embed reliability best practices into the software development lifecycle. This includes participating in design reviews, advising on architectural decisions, and ensuring that new features are built with scalability and resilience in mind.
- • You will be instrumental in enhancing our observability stack, which may involve implementing custom metrics, distributed tracing, and advanced log aggregation and analysis pipelines. The goal is to provide comprehensive visibility into every layer of our system.
- • Debugging complex, distributed systems will be a core function. You will dive deep into unfamiliar backend codebases, utilizing your proficiency in languages like Python and Go to understand system behavior, identify root causes of issues, and implement robust solutions.
- • Developing and maintaining internal tooling will be a key deliverable. This could range from on-call support tools and incident management platforms to automation scripts that streamline deployment and operational tasks.
- • You will contribute to the continuous improvement of our CI/CD pipelines and infrastructure-as-code practices, ensuring that our deployment processes are reliable, efficient, and secure.
- • Mentoring and knowledge sharing will also be important aspects of the role. You will help elevate the reliability expertise of the broader engineering team through documentation, training, and collaborative problem-solving.
- • The ideal candidate possesses a strong analytical mindset, a passion for understanding how systems work at a fundamental level, and a drive to make them more robust and efficient.
- • You will be working in a fast-paced, high-intensity environment at a rapidly growing AI startup, backed by top-tier investors. This is an opportunity to make a tangible impact on a product that is redefining how enterprises operate.
- • By joining HappyRobot, you will be part of a world-class team dedicated to pushing the boundaries of AI and its application in the real economy. Your work will directly contribute to freeing humans from complex, mission-critical operations so they can focus on strategy, creativity, and higher-value tasks.
- • We are committed to fostering a culture of extreme ownership, craftsmanship, and first-principles thinking, where every team member is empowered to take responsibility, deliver exceptional quality, and innovate from the ground up.
🎯 Requirements
- • Minimum of 3 years of hands-on experience debugging production systems, including extensive work with logs, traces, and incident response.
- • Strong analytical and problem-solving skills, with a proven ability to dive into and understand unfamiliar backend codebases.
- • Proficiency in Python and Go, sufficient for reading code and writing small tools and utilities to aid in debugging and automation.
- • Familiarity with observability and monitoring tools such as Datadog, Prometheus, Sentry, or similar platforms.
- • Demonstrated ability to communicate clearly and calmly under pressure, particularly during live incidents.
🏖️ Benefits
- • Opportunity to work at a high-growth AI startup backed by top investors like Andreessen Horowitz (a16z) and Y Combinator (YC).
- • Top-tier compensation package including a competitive salary and significant equity in a high-growth startup.
- • High degree of ownership and autonomy, with the ability to take full ownership of projects and ship solutions rapidly.
- • Opportunity to work alongside a world-class team of experienced engineers and builders in a collaborative and innovative environment.
- • Remote work flexibility, allowing you to work from anywhere.
Skills & Technologies
Python
Go
Prometheus
Datadog
Remote
About Happy Robot Inc.
Happy Robot Inc. is an artificial intelligence company focused on developing innovative AI solutions. They specialize in creating intelligent systems that enhance productivity and streamline complex processes across various industries. Their core offerings include advanced machine learning algorithms, natural language processing, and computer vision technologies. Happy Robot Inc. aims to empower businesses with cutting-edge AI tools, enabling them to make data-driven decisions, automate tasks, and unlock new opportunities for growth and efficiency. The company is committed to pushing the boundaries of AI research and development to deliver practical and impactful solutions for their clients.
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