Staff Mobile Engineer - Promo

Hard Rock Digital•Austin, TX

About The Position

Hard Rock Digital is seeking a Staff Mobile Engineer to own technical direction for mobile experiences in the Promos domain, working within its shared React Native platform and contributing to related web and back-office experiences as needed. The role solves complex client engineering problems, raises engineering standards across teams, and remains hands-on with implementation. Working across Product, Design, QA, Backend, Platform, Security, Compliance, and Operations, the engineer turns ambiguous needs into durable strategies and guides critical initiatives from discovery through production. Staff-level impact includes creating clarity beyond one team, developing other engineers, and being accountable for organizational outcomes as well as implementation. The role includes setting technical strategy and architecture; building reliable promotional experiences across mobile and web; establishing standards for client integrations and delivery quality; leading incident diagnosis and operational improvements; promoting responsible AI-assisted engineering; and serving as a trusted technical advisor and mentor. The engineer will balance product delivery, technical debt, and platform investment, and lead multi-team initiatives with clear plans, risks, dependencies, and measurable outcomes.

Requirements

Typically 7+ years of software engineering experience, including 5+ years building production React Native applications.
A degree in Computer Science or a related field, or equivalent demonstrated experience.
Deep expertise in React Native architecture, React, and TypeScript, including strict type-safety practices.
A record of evolving frontend platforms, shared libraries, or design systems and establishing patterns adopted by multiple teams.
Strong iOS and Android knowledge across native APIs, debugging, performance, security, deployment, and store delivery, including the ability to design or guide native-module bridges and safe JavaScript/native data flow.
Expertise in real-time client systems and modern state management, including REST, GraphQL, WebSockets, resilience, caching, offline behavior, graceful degradation, and clear client/server state boundaries.
Experience architecting a shared mobile platform across multiple applications, brands, regions, environments, and delivery teams, with product configuration, jurisdiction-specific behavior, and feature-flag-driven rollout using LaunchDarkly or a comparable platform.
Experience with relevant client integrations such as authentication, deeplinks, attribution, analytics, CRM, push notifications, privacy, or consent.
Strong engineering judgment across testing, observability, CI/CD, feature management, performance, accessibility, privacy, and secure development for systems where reliability, compliance, security, or financial correctness is business critical.
Hands-on fluency with AI-assisted software development and a practical understanding of prompt and context design, evaluation, hallucination risk, privacy, security, and responsible human review.
A record of shaping technical and product strategy, delivering ambiguous multi-team initiatives, and connecting investments to measurable customer and business outcomes without relying on formal authority.
Excellent communication and proactive, low-ego leadership, including clear proposals, executive communication, productive conflict, sound decisions amid uncertainty, and effective mentoring.

Nice To Haves

MobX and TanStack React Query, or comparable technologies.
Client experience in sportsbook, casino, online gaming, fintech, or another regulated digital industry.
Experience with internal operational or back-office applications, including GraphQL, MSAL or comparable SSO, role-based access, audit trails, and workflow-heavy interfaces.
Experience scaling client engineering through monorepos, shared tooling, design systems, developer platforms, or production AI practices.

Responsibilities

Own mobile technical direction for the assigned product domain, aligning with the shared React Native platform and supporting related web and back-office experiences as needed.
Partner with Principal and Staff Engineers and owners of shared capabilities—including geolocation, identity, security, compliance, and platform services—to integrate those capabilities 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 iterative delivery by defining the target end state, sequencing work into tickets, surfacing dependencies and risks, and updating delivery dates as evidence changes.
Build responsive and reliable promotional experiences across mobile and web, including offer discovery, eligibility, activation, state changes, rewards, 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 cross-platform standards for deeplinks, attribution, analytics, CRM, and push, including reliable identity and consent handling.
Remain hands-on with complex problems, turn ambiguity into iterative delivery, delegate effectively, and correct work that is off course or not producing value.
Model and raise code-review standards to improve correctness, maintainability, shared understanding, and engineer growth.
Advance standards for testing, CI/CD, accessibility, security, observability, app-store delivery, controlled rollout, privacy, incident readiness, and measurable performance.
Lead diagnosis across client, API, and platform boundaries using Sentry and correlated logs, traces, and metrics, and turn incidents into systemic improvements.
Drive responsible adoption of AI-assisted development across discovery, implementation, testing, documentation, debugging, and review, measuring effects on quality, speed, learning, and developer experience.
Identify valuable product and operational uses for AI, assess feasibility and model risk, and establish safeguards for evaluation, confidential data, human accountability, and production safety.
Act as a trusted technical advisor to Product and Engineering, identify risks and opportunities early, make clear recommendations, and drive decisions to closure using customer, operational, and market insight.
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, leading change with calm ownership, constructive conflict, clear commitments, and learning without blame.