• Actively contribute to a high-performing engineering team through collaboration, mentorship, and knowledge sharing

• Design, implement, and maintain highly scalable and performant services

• Own the quality and reliability of services through improvements in code, testing strategy, observability, and operational excellence

• Translate business requirements into technical solutions, proactively identifying trade-offs, risks, and opportunities

• Make informed technical decisions by leveraging data, system insights, and cross-functional input

• Contribute to and help evolve engineering standards, best practices, and team processes

• Leverage AI-assisted tooling (e.g., for code, testing, and observability) to ship changes safely and efficiently while maintaining high engineering standards

• Operate with an agile, iterative mindset, driving continuous improvement in both systems and team practices

• Serve as a subject matter expert within your team, and contribute expertise across teams when needed

• Own delivery of moderately complex projects end-to-end, from design through production support

• Participate in system design discussions and contribute to architectural decisions within your domain

Required Skills:

• 5+ years of professional experience in software engineering

• Significant experience designing, building, deploying, operating, and maintaining cloud-based web services and microservices (AWS, Azure, GCP, etc.)

• Extensive experience with multiple programming languages (Go, Java, python, C#, Rust, etc.)

• Strong experience with relational and non-relational database technologies

• Proven debugging/troubleshooting skills

• Strong understanding of component-level and application-level design patterns and their practical application

• Ability to deal with ambiguous and complex project requirements

• Effective verbal and written communicator

• Experience with observability and monitoring systems (Datadog, Sumo Logic, Cloudwatch, Sentry, etc.)

• Experience with different testing practices

• Bachelor27s degree in Computer Science, Computer Engineering, or a related quantitative degree

Preferred Skills:

• Preferred languages - Go and Python

• Experience with data ingestion pipelines such as Airflow, Luigi, AWS Step functions

• Experience with containers and container orchestrators like Docker, Kubernetes, AKS

• Hands on exposure with serverless technologies (Lambdas)

• Knowledge of front end development (React) is beneficial

• Comfort evaluating AI/ML solutions pragmaticallybalancing impact, risk, and long-term maintainability, and applying them where appropriate

• Experience with agile methodologies and rapid iteration cycles

At GoodRx, pay ranges are determined based on work locations and may vary based on where the successful candidate is hired. The pay ranges below are shown as a guideline, and the successful candidate27s starting pay will be determined based on job-related skills, experience, qualifications, and other relevant business and organizational factors. These pay zones may be modified in the future. Please contact your recruiter for additional information.

San Francisco and Seattle Offices:

New York Office:

Santa Monica Office:

Other Office Locations:

GoodRx also offers additional compensation programs such as annual cash bonuses or commission, and annual equity grants for most positions as well as generous benefits. Our great benefits offerings include medical, dental, and vision insurance, 401(k) with a company match, an ESPP, unlimited vacation, 13 paid holidays, and 72 hours of sick leave. GoodRx also offers additional benefits like 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, and more!