Staff Mobile Engineer - Promo

What are we building?

Hard Rock Digital is a fiercely focused team working to become the best online sportsbook, casino, and social gaming company in the world. We're building a deeply curious team with a passion for learning, operating, and building new products and technologies for millions of consumers. We're customer-obsessed — we care about each customer interaction, experience, behavior, and insight, and strive to ensure we're always acting authentically.

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We're taking that foundation of success and bringing it to the digital space - ready to join us?

What’s the position?

We’re looking for a Staff Mobile Engineer to own technical direction for mobile experiences within the Promos domain, working within our shared React Native platform and contributing to related web and back office experiences where needed. You will solve complex client engineering problems and raise the engineering bar across teams while remaining close to the code.

Working across Product, Design, QA, Backend, Platform, Security, Compliance, and Operations, you will turn ambiguous needs into durable strategies and guide critical initiatives from discovery through production. Staff level impact means creating clarity beyond one team, developing other engineers, and being accountable for organizational outcomes, not only implementation.

Your responsibilities will include:

Technical strategy and architecture

• Own the mobile technical direction for the assigned product domain, such as Promos, while aligning with the shared React Native platform and supporting related web and back office experiences where needed.

• Partner with Principal and Staff Engineers and the teams that own shared capabilities such as geolocation, identity, security, compliance, and platform services, integrating those capabilities into Promos while maintaining clear ownership boundaries.

• Guide architecture evolution and modernization, balancing product delivery, technical debt, and platform investment through pragmatic decisions, clear tradeoffs, and measurable outcomes.

• Lead major restructuring work through planned iterative delivery: establish the target end state before execution, decompose the initiative into sequenced tickets, surface dependencies and risks, and provide credible delivery dates that are updated as evidence changes.

Promotional and client capabilities

• Build responsive and reliable promotional experiences across mobile and web, including offer discovery, eligibility, activation, state changes, and rewards, with clear recovery and correctness.

• Partner with Product, Data, Backend, and Operations to define promotion lifecycle, client contracts, experimentation, success measures, and operational controls across mobile, web, and back office experiences.

• Set standards for deeplinks, attribution, analytics, CRM, and push across platforms such as AppsFlyer, Segment, Amplitude, Braze, and Firebase, with reliable identity and consent handling.

Execution, quality, and operations

• Remain hands on with the hardest problems, turning ambiguity into iterative delivery while delegating effectively and correcting work that is off course or not producing value.

• Model and raise a high bar for code review, using reviews to improve correctness, maintainability, shared understanding, and engineer growth; advance standards for testing, CI/CD, accessibility, security, observability, App Store and Google Play delivery, controlled rollout, privacy, and incident readiness, and treat performance as a measurable product requirement.

• Lead diagnosis across client, API, and platform boundaries using Sentry and correlated logs, traces, and metrics, turning incidents into systemic improvements.

AI enabled engineering

• Drive responsible adoption of AI assisted development across discovery, implementation, testing, documentation, debugging, and review, measuring improvements to quality, speed, learning, and developer experience.

• Identify valuable product and operational uses for AI, assess feasibility and model risk, and establish guardrails for evaluation, confidential data, human accountability, and production safety.

Organizational impact and culture

• Act proactively as a trusted technical advisor to Product and Engineering teams, identifying risks and opportunities early and using customer, operational, and market insight to make clear recommendations and drive decisions to closure.

• Mentor Senior and Staff Engineers through architectural guidance, reviews, pairing, and reusable knowledge; contribute technical perspective to senior hiring, capability planning, and career development.

• Resolve systemic risks, ownership gaps, and missing capabilities by bringing the right people together; lead change with calm ownership, constructive conflict, clear commitments, and learning without blame.