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Role Description

This role involves designing, implementing, and evolving highly available, scalable, and secure infrastructure on AWS and GCP.

• Apply sound architectural judgment and long-term systems thinking while balancing cost.
• Design and develop reusable platform tooling and infrastructure-as-code modules that accelerate build and release management while improving reliability and consistency across teams.
• Passionate about improving processes through automation, process engineering, artificial intelligence, and documentation.
• Partner with application engineering teams to define, improve, and enforce operational standards, deployment practices, and reliability expectations across services.
• Independently lead complex infrastructure upgrades, migrations, and performance optimization initiatives.
• Conduct structured root cause analysis for production incidents and drive systemic improvements to prevent recurrence.
• Evaluate emerging technologies and recommend improvements to platform architecture, scalability, and cost efficiency.
• Document architectural decisions, operational standards, and runbooks to improve organizational knowledge sharing.
• Provide technical guidance and mentorship to Platform Engineer team members on infrastructure design and DevOps best practices.

Qualifications

• Extensive experience architecting and operating automated Linux-based cloud infrastructure in production environments.
• Strong experience designing and operating complex CI/CD pipelines (blue/green, canary, multi-stage) in large-scale production environments.
• Deep hands-on experience with infrastructure-as-code (Terraform, CloudFormation, or equivalent), including reusable module design and environment standardization.
• Strong software engineering background in Python, Go, or similar languages, with the ability to build automation and tooling to solve complex operational challenges.
• Build and release experience with tools such as Github Actions, GitlabCI, Codefresh or similar.
• Hands-on experience using AI to speed up research, coding, troubleshooting, and documentation workflows.
• Experience designing observability systems using APM, metrics, logs, and tracing tools (Datadog, CloudWatch, SumoLogic, etc.) to proactively manage reliability.
• Deep hands-on experience operating Kubernetes clusters in production, including workload orchestration, scaling, networking, and troubleshooting.
• Strong analytical and debugging skills, with demonstrated ability to independently diagnose and resolve complex, multi-system issues.
• Excellent collaboration and communication skills, with the ability to advise senior engineering partners and clearly communicate technical trade-offs.
• Excellent time management and organizational skills.

Requirements

• Engineering teams are responsible for supporting appropriate security controls, including management, operational, and technical controls in addition to general GoodRx best practices.
• Read and adhere to the security policies and procedures, being vigilant and observant of potential security threats.

Benefits

• Medical, dental, and vision insurance
• 401(k) with a company match
• Employee Stock Purchase Plan (ESPP)
• Unlimited vacation
• 13 paid holidays
• 72 hours of sick leave
• Mental wellness and financial wellness programs
• Fertility benefits
• Generous parental leave
• Pet insurance
• Supplemental life insurance for you and your dependents
• Company-paid short-term and long-term disability