Senior Observability Engineer

About the role

Join our team as a Senior Observability Engineer at FanDuel. Your role will involve designing, building, and maturing the observability ecosystem that supports our platform and services. You'll deliver deep visibility into system behavior by combining system telemetry with user signals, and explore how AI and machine learning can enhance observability.

Responsibilities

• Contribute to the observability strategy and roadmap, partnering with multiple teams to align with business priorities and engineering goals.
• Design and enhance scalable observability solutions that provide actionable insights into system health, performance, and user experience.
• Establish and promote best practices for monitoring, alerting, incident management, and postmortems across teams.
• Collaborate on cross-team initiatives to improve system reliability, identifying risks and contributing to their resolution.
• Apply automation and AI-assisted workflows to improve root cause analysis and reduce operational toil.
• Work with engineering and product stakeholders to surface observability insights that inform technical decisions and prioritization.
• Analyze system and user signals to help detect, prevent, and mitigate reliability issues.
• Optimize observability platforms for performance, scalability, and cost-efficiency.
• Mentor peers and contribute to raising observability and reliability standards within the team.

Requirements

• Solid hands-on experience in observability engineering, SRE, platform engineering, or related roles, with impact across team-level systems.
• Strong expertise in monitoring and observability practices, with hands-on experience using tools such as Datadog.
• Experience contributing to observability or reliability initiatives across teams or services.
• Proficiency with Kubernetes, cloud infrastructure (e.g. AWS), and infrastructure-as-code tools such as Terraform.
• Ability to influence technical decisions within and across teams, collaborating effectively with a range of stakeholders.
• Good understanding of distributed systems principles (e.g. consistency, availability, partition tolerance) and practical trade-offs.
• Experience defining and implementing SLOs, SLIs, and alerting strategies, including an understanding of user-impacting metrics.
• Strong software engineering fundamentals, with proficiency in at least one modern programming language (e.g. Go, Java, Python, or TypeScript), and experience building tooling, automation, and scalable systems.
• Experience improving systems through automation, helping reduce operational toil and recurring issues.
• Strong analytical and problem-solving skills, with the ability to interpret technical signals and relate them to system performance and reliability.
• Good communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
• A sense of ownership and accountability, with a focus on delivering reliable, scalable solutions and continuous improvement.

Qualifications

• Education: Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience: Minimum 5 years of relevant experience in observability engineering, SRE, platform engineering, or related roles.

Skills

• Hands-on experience with monitoring and observability tools such as Datadog.
• Experience with Kubernetes, cloud infrastructure (e.g. AWS), and infrastructure-as-code tools such as Terraform.
• Strong software engineering fundamentals, with proficiency in at least one modern programming language.
• Experience with defining and implementing SLOs, SLIs, and alerting strategies.
• Experience with automation and AI-assisted workflows.
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration skills.

Benefits

• Medical, vision, and dental insurance.
• Life insurance.
• Disability insurance.
• A 401(k) matching program.
• Paid personal time off and 14 paid company holidays.
• Paid sick time.

Pay

The applicable salary range for this position is $149,000 - $186,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand.

Schedule

Full-time position.