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 and raises engineering standards across teams while remaining hands-on. It works with Product, Design, QA, Backend, Platform, Security, Compliance, and Operations to turn ambiguous needs into durable strategies and guide 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 engineer will guide architecture and platform evolution, balance product delivery with technical debt and platform investment, and lead major restructuring through planned, iterative delivery. The role also shapes promotional experiences and lifecycle capabilities across mobile, web, and back office, including offer discovery, eligibility, activation, rewards, experimentation, analytics, attribution, CRM, and push integrations. The position combines hands-on engineering, technical leadership, quality and operational readiness, and responsible adoption of AI-assisted development. It includes mentoring Senior and Staff Engineers, advising Product and Engineering leaders, resolving systemic risks and ownership gaps, and helping establish standards for testing, delivery, accessibility, security, observability, privacy, performance, and incident response.

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 app-store delivery.
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.
Experience with product configuration, jurisdiction-specific behavior, and feature-flag-driven rollout using LaunchDarkly or a comparable platform.
Experience with 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 business-critical systems where reliability, compliance, security, or financial correctness matter.
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 Promos domain, align with the shared React Native platform, and support related web and back-office experiences where needed.
Partner with Principal and Staff Engineers and shared-capability teams to integrate capabilities such as geolocation, identity, security, compliance, and platform services 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 initiatives by defining the target end state, sequencing work into tickets, surfacing dependencies and risks, and updating delivery dates as evidence changes.
Build responsive, reliable promotional experiences across mobile and web, covering 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 standards for deeplinks, attribution, analytics, CRM, and push across platforms such as AppsFlyer, Segment, Amplitude, Braze, and Firebase, with reliable identity and consent handling.
Remain hands-on with difficult engineering problems, turn ambiguity into iterative delivery, delegate effectively, and correct work that is off course or not producing value.
Model and raise standards for code review, 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 its effects on 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.
Advise Product and Engineering teams proactively, identify risks and opportunities early, use customer, operational, and market insight to make 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 clear commitments, constructive conflict, and learning without blame.