[Hiring] Senior Site Reliability Engineer @Fable

Role Description

As a Senior Site Reliability Engineer at Fable, you will play a critical role in ensuring the reliability, scalability, and efficiency of our platform as we continue to grow. Fable’s products support organizations in building more accessible digital experiences, and the reliability of our infrastructure is essential to delivering that impact. You will work across our platform and product systems to ensure they are stable, performant, and cost-efficient, while enabling teams to move quickly and safely.

As AI-powered capabilities increasingly become part of modern product experiences, you will also help ensure Fable’s infrastructure is ready to support AI workloads—balancing reliability, performance, and cost while enabling teams to safely experiment and scale new capabilities.

Reporting to the Director of Technical Operations, this role works closely with teams across Engineering and Product. It is ideal for someone who enjoys hands-on technical work while taking ownership of system health, tooling, and operational excellence, and who is excited to help shape Fable’s approach to infrastructure, reliability, and platform engineering over time.

Responsibilities

• Reliability, Infrastructure & Platform
  • Design, build, and maintain reliable, scalable, and secure infrastructure for Fable’s product services
  • Improve system observability, monitoring, and alerting to ensure high availability and fast incident response
  • Contribute to and evolve SRE practices, including SLIs/SLOs, incident management, and postmortems
  • Support and improve CI/CD pipelines and deployment processes
  • Identify and reduce operational complexity across systems and tooling
  • Work across infrastructure and application layers to diagnose and resolve reliability and performance issues, including making targeted improvements to application code when needed
  • Support infrastructure and platform capabilities required for AI/ML-powered features, including scaling, performance, and reliability considerations
• Cost Efficiency & Performance
  • Monitor and optimize infrastructure costs across cloud environments
  • Contribute to capacity planning and cost forecasting for infrastructure and services
  • Identify opportunities to improve performance and efficiency at the system level
  • Evaluate and optimize the cost and performance of compute-intensive workloads (e.g., AI/ML services), ensuring efficient resource usage and scalability
• Vendor & Tooling Ownership
  • Work with third-party vendors and tools that support Fable’s infrastructure and operations
  • Help evaluate, select, and manage tools and services to support platform reliability and scalability
  • Support vendor-related troubleshooting and ongoing service improvements
• Cross-functional Collaboration
  • Partner with Engineering teams to improve reliability, performance, and operational readiness of new features
  • Partner with application engineering teams to improve service architecture, performance, and observability, and help define best practices for building reliable, scalable systems
  • Act as a point of support and escalation for production issues
  • Collaborate across teams to manage dependencies and ensure smooth system operations
• Team & Practice Development
  • Contribute to building strong SRE and operational practices across the organization
  • Share knowledge through documentation, pairing, and technical discussions
  • Help onboard and support more junior team members as the team grows
  • Contribute to improving ways of working within the team and across Engineering

Qualifications

• 5–8+ years of experience in Site Reliability Engineering, DevOps, Infrastructure Engineering, or Platform Engineering
• Strong experience with cloud infrastructure (AWS, GCP, or Azure)
• Experience building internal platforms, tooling, or shared services that improve developer productivity and system reliability
• Experience designing systems that bridge infrastructure and application layers
• Ability to work across the stack: comfortable reading, debugging, and making changes to application code (e.g., backend services, APIs) when needed to improve reliability, performance, or observability
• Experience with at least one backend programming language (e.g., Node.js, Python, Go, Java)
• Strong experience with monitoring, observability, and alerting tools (e.g., Datadog, Prometheus, Grafana)
• Solid understanding of CI/CD systems and modern deployment practices
• Experience managing infrastructure as code (e.g., Terraform, CloudFormation)
• Experience optimizing system performance and infrastructure costs
• Familiarity with security and compliance considerations in cloud environments
• Experience working with third-party vendors and infrastructure tools
• Familiarity with infrastructure considerations for AI/ML workloads (e.g., high-compute services, data pipelines, or third-party AI platforms) is a strong asset
• Curiosity about emerging technologies and their impact on infrastructure, reliability, and cost at scale
• Strong problem-solving skills and ability to navigate complex systems
• Excellent collaboration and communication skills

Nice to have

• Experience contributing to platform engineering initiatives (e.g., internal developer platforms, self-serve infrastructure)
• Experience improving developer experience (DX)
• Experience with SLIs/SLOs and reliability engineering practices
• Experience mentoring or supporting other engineers

Benefits

• Stock options
• Career growth opportunities
• Professional development support
• Health and dental coverage
• And more

Accessibility accommodations

Fable is an inclusive workplace. If you are facing any accessibility requirements or concerns regarding the hiring process or employment with us, please fill out this form or email us at [email protected] and include the subject line “Accessibility accommodation for Senior Product Manager job application.”

Pay range

$130,000 – $150,000. The salary band is designed to reflect the range of skills and experience needed for the position and is subject to change. The final salary is based on relevant skills, experience, and internal equity. This posting reflects an existing vacancy. Artificial intelligence (AI) tools may be used to support part of the recruitment and selection process. However, all hiring decisions are made by our hiring managers.