Senior Software Engineer Offshore

Responsibilities

• 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.

Qualifications

• 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.