Sr Software Engineer, PBM Platform

Rightway•Miami, FL

3d•$160,000 - $190,000

About The Position

We're looking for a Senior Software Engineer to join the PBM Platform team at Rightway. This team is building our next-generation pharmacy platform. You'll help design and deliver the systems that power pharmacy benefits, determine coverage and pricing, and manage member cost-sharing across our entire book of business. This isn't a "write features to spec" role. Our senior engineers own initiatives end-to-end: they shape architecture, define technical direction, unblock other engineers, and drive delivery across multiple workstreams. You'll partner directly with product and domain experts to make scope and sequencing decisions, not just implement them. You'll be the person your teammates come to when they're stuck, and you'll build the documentation, patterns, and tooling so they get stuck less often. The stack is React on the frontend with TypeScript (NestJS) and Go on the backend. You should be comfortable working across both backend languages. We're an AI-native engineering team that uses AI tooling daily in our development workflow and expects our senior engineers to lead adoption, establish best practices, and help the team get better at working with these tools. The platform team is designed from day one around AI-assisted development.

Requirements

5+ years of professional software engineering experience, with demonstrated progression into technical leadership
Strong backend engineering depth. You've designed and built services in TypeScript and/or Go that handle complex business logic, financial calculations, or rules engines
Strong data modeling instincts. You think carefully about schema design, normalization trade-offs, and how data decisions cascade through a system
Experience with service-oriented architectures. You've designed APIs, defined service boundaries, and dealt with the realities of distributed systems (failure modes, composition patterns, contract evolution)
Comfortable with ambiguity. You can take a product objective and break it down into shippable engineering work without waiting for someone to hand you a spec. This is a greenfield platform and you'll be making foundational decisions with imperfect information
Strong communicator. You can explain technical trade-offs to product partners, write clear technical documents, and translate domain complexity into clean system design

Nice To Haves

Experience in healthcare or pharmacy benefits systems
Familiarity with pharmacy standards (NCPDP, GPI, NDC)
Experience building financial calculation engines or rules engines
Familiarity with gRPC, Protocol Buffers, and multi-service TypeScript/Go architectures
Experience with PostgreSQL performance tuning, migrations, and query optimization
Experience leading AI-assisted development workflows and establishing team standards around AI tooling

Responsibilities

Own and drive technical initiatives
Design and build core platform components
Make architectural decisions (service boundaries, data modeling, API contracts) and document them so the team can build on them
Work through complex domain problems
Elevate the team around you
Mentor mid-level and junior engineers through pairing, code review, and design discussions. Not just catching bugs, but teaching patterns
Transfer knowledge proactively, mentoring engineers to discover the "why" with a deep foundation of how systems are built
Establish and maintain coding standards, testing strategies for your initiative area
Participate in domain learning sessions with PBM subject matter experts and help translate business rules into system design
Build and maintain production systems
Design and build gRPC APIs using NestJS or Go (depending on the component) with PostgreSQL for persistence
Build internal tooling interfaces in React
Implement normalized data models (3NF) for complex domain entities
Define and implement service communication patterns using Protocol Buffers and gRPC
Own observability for your systems. Maintain Datadog monitors, Sentry error tracking, and know when something is wrong before users report it
Build with test-driven development: define expected outcomes upfront, then build until they pass
Contribute to architecture decisions in cross-team forums
Drive AI-native development practices by establishing workflows, sharing findings, and helping the team use AI tools effectively
Identify and raise risks early, including timeline slippage, technical debt, vendor reliability issues, and compliance gaps
Coordinate across team boundaries when your work touches other services or teams