Own the design, implementation, and evolution of one or more core platform domains — such as multi-tenancy, API framework, job processing, data pipelines, or platform SDK/extension points.
Lead end-to-end software design for significant new capabilities, from technical specification through production delivery and long-term maintainability.
Proactively identify and resolve scalability, correctness, and security issues in platform code and data models before they reach production.
Drive data modeling, API design, and service decomposition decisions for high-concurrency, enterprise-scale workloads.
Actively use GenAI coding tools (GitHub Copilot, Cursor, Claude Code) as a standard part of your software development workflow — demonstrated prior use required.
Establish team-wide best practices for AI-assisted development and code review.
Produce and champion design docs that establish engineering patterns adopted across Platform and adjacent product teams.
Lead design reviews for complex systems built by senior and mid-level engineers; provide structured, high-signal feedback that improves both the design and the engineer.
Partner closely with architects to translate long-term strategy into well-sequenced, concrete engineering work.
Collaborate cross-functionally with Product, QA, and Data Engineering to align software design with product and operational requirements.
Define and uphold coding standards, testing practices, and API design conventions for the Platform team.
Drive initiatives that measurably improve platform reliability and developer experience through better software design — not just tooling or process.
Lead post-mortems for significant production issues with a focus on durable software fixes, not operational workarounds.
Actively mentor Engineers through technical pairing, design feedback, and structured growth conversations.
Identify and close skill gaps on the team through knowledge-sharing, internal documentation, and architectural walkthroughs.
Contribute to hiring: define the technical bar, design engineering interview problems, and provide substantive written debrief feedback.

Requirements

8–12 years of experience designing and building backend or platform software for enterprise SaaS or cloud-native applications, with a primary focus on application-layer engineering, not infrastructure operations.
Deep expertise in Java, Spring Boot, Hibernate, MySQL, and RESTful API design — demonstrated through architecting complex, high-throughput production systems.
5+ years working in cloud environments (AWS preferred); strong understanding of how cloud services affect software design, performance, and cost — not just how to configure them.
Demonstrated experience independently driving multi-team software design decisions: writing design docs, facilitating alignment, and managing technical tradeoffs.
Strong command of distributed systems concepts: event-driven architecture, eventual consistency, multi-tenancy isolation, rate limiting, and fault tolerance — applied through code, not configuration.
Demonstrated active use of Generative AI coding tools in professional software development within the past 12 months.

Benefits

$0 monthly premium and other flexible medical, dental, and vision plans effective on the first day of employment
401k plan
Discretionary Paid Time Off and Paid Holidays
Parental Leave
Equity
Monthly Wellness Reimbursement
Monthly Lunch on Legion

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaSpring BootHibernateMySQLRESTful API designcloud-native applicationsevent-driven architecturemulti-tenancy isolationrate limitingfault tolerance

Soft Skills

leadershipcollaborationmentoringtechnical specificationdesign feedbackknowledge-sharingproblem-solvingcommunicationteamworkcross-functional alignment