• We are a results-focused team, which is not just a cliché for us. • The code you will write with us will have to be of top quality and delivered on time. • You will get your hands on products that are used by millions of users every day and each mistake or downtime costs a lot of money. • You will have similar top-level engineers as your teammates to help you ensure that we deliver a world-class product together.

• Own and deliver projects that may span multiple sprints • Independently identify solutions for ambiguous, open-ended problems • Own multiple small components or services • Work with direct teams and cross-functional partners • Define and deliver project milestones • Mentor less-experienced team members through code reviews and design patterns • Champion code quality, reusability, scalability, security, and strategic software architecture • Partner with data engineers and analysts to understand data pipeline needs and contribute to platform improvements • Apply software engineering best practices (testing, code review, CI/CD) to data pipeline and ETL/ELT development • Support the design and implementation of data workflows, growing familiarity with ingestion and transformation patterns • Help identify data quality issues and contribute to observability improvements across data systems • Write code that captures the essential nature of the solution and is appropriately flexible, reusable, efficient, and adaptable to changing requirements.

Role Description You'll be joining a major build for one of our clients, a leading platform in the creator economy. They're rolling out a native Community feature that gives their users' most engaged audiences a place to gather, talk, and come back between sends, unlocking a premium upsell and stronger retention for the platform. The project is mid-development by the time you start, with a beta window and a release event planned for later this year. You'll be embedded into a small, focused team and shipping production code from day one. We're looking for a senior full-stack engineer comfortable working primarily in Ruby on Rails and React, who can drop into an existing codebase, ramp up quickly, and start delivering meaningful tickets within the first few weeks. You'll work alongside our existing engineering leads on this engagement, share planning and working sessions with the broader client team, and contribute directly to features being shipped to end users. The stack is Ruby on Rails with Postgres and Redis (Docker for local dev), a React frontend, with real-time and feed infrastructure powered by Stream.io. We use GitHub for code management and Linear for ticketing. This role is hands-on. There's no Rare Days PM on this engagement (the client owns PM), so we're looking for someone who is self-directed, communicates clearly, and can operate effectively inside a client's processes and rituals. Responsibilities - Build and ship full-stack features across the Rails service layer and the React frontend on the client's community platform. - Pick up tickets from the Linear board, scope your own work, and deliver production-quality code with strong test coverage. - Participate in the client's sprint rituals, demos, and touchpoints, speaking confidently about technical decisions, trade-offs, and delivery status. - Collaborate closely with the existing engineers on the project (your primary pair during ramp-up) and with the client's internal engineers and PM. - Help drive the team toward upcoming beta and release milestones, flagging risks early and proposing solutions, not just problems. - Contribute to architecture and integration discussions where relevant (e.g. real-time infrastructure, feed/messaging via Stream, performance and scaling questions). - Write code reviews that raise the bar without slowing the team down. Qualifications - 7+ years of full-stack engineering experience, with substantial production work in Ruby on Rails and React. - Comfortable in a Rails monolith of meaningful size. You can navigate an unfamiliar codebase, find the patterns, and make changes that match the existing conventions rather than fighting them. - Strong with Postgres (writing efficient queries, understanding indexing, reasoning about migrations on a live database) and familiar with Redis in a caching or background-job context. - Experience working with React in a production app (component patterns, state management, integrating with a Rails backend). - You've worked on apps where real-time features, multi-tenancy, or scale are real concerns, and you have opinions about the trade-offs (familiarity with ActionCable/AnyCable, Stream.io, Pusher, or similar is a plus). - You can communicate effectively with both technical and non-technical audiences, and you're comfortable presenting your work directly to a client team. - You're self-directed: you can pick up a ticket, ask the right clarifying questions, and ship it without needing constant check-ins. - You're motivated by feedback and care about the craft. You'd rather raise a concern early than ship something you're not proud of. - Available to work in an EST or compatible timezone (Eastern North America through Western/Central Europe), with strong overlap to an EST/CET working day for sprint rituals, pairing, and client touchpoints. - Comfortable working as a contractor. Nice to have - Prior experience on creator-economy, publishing, or community products. - Background working as an embedded contractor inside a client's engineering team. - Familiarity with deploying Rails applications at scale (Heroku, AWS, or similar). - Experience integrating with third-party real-time / feed / chat services. Engagement details - Type: Temporary contract, full-time allocation. - Location: Remote, EST or compatible timezone (Eastern North America through Western/Central Europe).

• Build and iterate on prototypes, internal tools, and engineering solutions • Use AI tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate coding, debugging, testing, and documentation • Contribute to CI/CD improvements, testing automation, and code quality initiatives • Help improve software development lifecycle (SDLC) workflows using AI • Collaborate directly with internal and client technical leads, contributing ideas and technical direction • Work effectively in a fast-paced, ambiguous environment without a fully defined backlog