PHIL is hiring a Staff Software Engineer to drive the development and evolution of scalable, reliable, and error-resilient architecture for our Pharmacy Platform. You will lead the design and implementation of robust systems ensuring seamless integration across patient, prescriber, and pharmacy networks, focusing on scalability, quality, and performance.

What You'll Do

Architect and implement scalable, high-performance backend systems for PHIL’s Pharmacy Platform, ensuring minimal processing errors and downtime.
Design and manage complex rule-based workflows to support pharmacy operations, compliance, and patient engagement.
Develop robust APIs and services that ensure seamless communication between patients, prescribers, pharmacies, and internal stakeholders.
Develop fault-tolerant systems and monitoring frameworks to identify and mitigate errors proactively.
Collaborate with cross-functional teams to align technical solutions with business objectives.
Deeply understand the prescription processing platform end to end and identify opportunities for simplification.
Understand and enhance the design of data pipelines to process large-scale pharmacy and patient data with high reliability.
Establish coding and design best practices to minimize bugs, reduce processing errors, and enhance maintainability.
Mentor and lead a team of engineers, fostering a culture of accountability, innovation, and collaboration.
Integrate systems and workflows with existing tools, including CRM, inventory management, and patient engagement systems.
Support wholesale operations, including maintaining EDI capabilities and inventory systems.
Document platform architecture, processes, and workflows to ensure knowledge sharing.
Build automation test suite to increase quality and velocity of releases.

What We're Looking For

Bachelor’s or Master’s degree in Computer Science or a related field (or equivalent experience).
10+ years of software engineering experience, including building and scaling large systems.
Strong expertise in designing scalable architectures that can handle large volumes of data with minimal errors.
Proficiency in Golang and Python, with a solid understanding of building APIs and backend services.
Experience with databases such as PostgresDB, MongoDB, or equivalent systems.
Expertise in developing monitoring and alerting systems to detect and address platform issues in real time.
Strong knowledge of distributed systems, algorithms, and data structures.
Proven ability to optimize system performance, reduce latency, and enhance system reliability.
Familiarity with CI/CD pipelines and cloud infrastructure (e.g., AWS, GCP, or Azure).
Familiarity with the testing pyramid and increasing test coverage in complex distributed systems.
Strong problem-solving and debugging skills, with a focus on error reduction and fault tolerance.
Excellent leadership skills with experience mentoring and managing engineering teams.