Build and operate infrastructure for reliable software delivery in an AI-native engineering organization.
Posted by employer 2 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 11 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
Practical constraints
AI in the day-to-day
You will use modern AI tools, including agentic coding systems, as part of your daily engineering practice.
Requirements
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Site Reliability Engineer at Formation Bio, the individual will focus on building and maintaining the infrastructure and operational practices that enable the engineering team to deliver reliable software efficiently. Key skills include expertise in cloud infrastructure, observability, and automation, with a strong emphasis on using AI tools to enhance operational capabilities. This position is suited for experienced professionals with a background in Site Reliability Engineering or DevOps, particularly those familiar with AWS, Docker, and MLOps. Formation Bio operates within a tech-driven environment, emphasizing collaboration across engineering and data science teams.
Joblaze insights
Quick facts
From the original posting
As a Senior Site Reliability Engineer at Formation Bio, you will build and operate the infrastructure, delivery systems, and operational practices that allow our engineering organization to ship reliable software quickly and safely. You will work across cloud infrastructure, developer platforms, observability, and production workloads, including product applications, internal tools, data systems, and ML and AI workloads, taking problems from initial diagnosis through implementation and production adoption.
Formation Bio is an AI-native engineering organization. You will use modern AI tools, including agentic coding systems, as part of your daily engineering practice while applying the judgment needed to validate their output and operate reliable production systems. You will partner closely with Product Engineering, Data Engineering, and Data Science to design, build, and develop the infrastructure and operational platform that supports product software, data systems, and ML and AI workloads, with the opportunity to shape how the broader organization builds and operates AI-native systems.
Total Compensation Range: $185,500 - $232,000
Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
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