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México
Remote only
Not Available
Location: This role is based in Mexico (remote). Candidates must be legally authorized to work in Mexico; this position is not eligible for relocation or visa sponsorship, and is not open to candidates based in the United States.
Founded in 2015, Phil is a San Francisco-based, Series D health-tech company building a modern ecosystem that interfaces between doctors, pharmacies, and patients to streamline prescription delivery. This is a complex, archaic industry, and we've set out to change that.
Phil’s B2B2C platform provides an end-to-end prescription management and delivery service. By seamlessly connecting patients, prescribers, pharmacies, and manufacturers, we enable easy and affordable access to medicine. Through our digital stakeholder experiences, patient access services, and modern distribution models, pharmaceutical manufacturers can deliver timely, affordable therapy to patients. This results in higher adherence to treatment plans and unlocks greater capacity for manufacturers to innovate.
The team at Phil is a group of mission-driven, analytical, and passionate individuals from diverse backgrounds, all dedicated to improving the patient experience and overall human well-being. Ready to join our team of mission-driven, analytical, and passionate people? Keep reading!
PHIL is seeking a Senior Software Engineer to lead technical development for the Growth team within our Pharmacy Platform. In this role, you will architect scalable backend systems and intelligent, AI-driven workflows required to seamlessly onboard new clients and integrate patient, prescriber, and pharmacy networks.
As a technical leader reporting to the Director of Engineering, you will bridge the gap between high-performance system architecture and client-facing product delivery. You will design configuration-driven playbooks to accelerate client launches, optimize complex rule engines, and implement AI automations to maximize platform quality and engineering velocity.
Accelerate Client Onboarding: Deeply understand PHIL’s architecture to build a repeatable, highly configurable technical playbook for launching new clients and programs efficiently.
Design Complex Workflows: Implement and manage sophisticated, rule-based workflows to support pharmacy operations, compliance, and patient engagement while minimizing processing errors.
Drive AI Automation: Leverage AI-first development methodologies and build intelligent automations to increase the quality, reliability, and velocity of platform releases.
Architect & Scale Backend Systems: Design and maintain highly reliable, low-latency APIs and microservices using AWS native tools (ECS/EKS, Lambda, RDS, DynamoDB).
Own System Reliability: Write clean, observable code with robust logging and monitoring to ensure fault tolerance and zero downtime in a highly critical healthcare environment.
Cross-Functional Leadership: Collaborate with Product Managers, Data Analysts, and external stakeholders to align technical solutions with business growth objectives.
Technical Anchor: Act as a mentor to junior engineers, promoting a culture of strict architectural discipline, rapid innovation, and technical accountability.
Technical Escalation & Documentation: Document platform architecture to ensure long-term maintainability, and serve as the engineering tier-escalation point for complex client launch issues.
Education: Bachelor’s or Master’s degree in Computer Science, or equivalent.
Experience: 5+ years of software engineering experience building, scaling, and maintaining large distributed systems. Health-tech domain experience (HIPAA compliance) is preferred.
Tech Stack: Strong proficiency in Golang (or similar modern backend language) with a proven track record of building robust backend services.
Cloud & Data Architecture: Hands-on experience with Cloud services (AWS, GCP, Azure) and relational/NoSQL databases (PostgreSQL, MongoDB, or DynamoDB).
Workflow Expertise: Deep knowledge of workflow engines or applications featuring high levels of configurations and variations across enterprise clients.
Modern Engineering Practices: Familiarity with the testing pyramid, CI/CD pipelines, and utilizing AI-first development tools to optimize engineering workflows.
Exciting ground-floor opportunity with one of the fastest-growing startups in health tech.
Fully remote work environment.
Competitive compensation, commensurate with experience.
Comprehensive benefits package
PHIL is an equal opportunity employer