Staff Engineer en InTune Analytics

FULL_TIME

  Remoto | Expert | Full time | Programación

40 postulaciones
Revisado por última vez hoy
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At InTune, we’re innovators at heart, focused on building “cool sh*t” with people we enjoy building it with. As a company, we’re constantly looking for places we can add value, asking “how can we further enrich as many lives as possible?”. Today, we do so through two flagship products, but strive to become a household name, shaping the future of live entertainment.

We are seeking a Staff Engineer who can combine technical excellence with leadership. In this role, you will actively contribute to the codebase while mentoring engineers, guiding teams through technical decisions, and driving the adoption of engineering best practices. You’ll act as a bridge between hands-on engineering and leadership, ensuring our systems are scalable, maintainable, and aligned with our architectural vision.

Oportunidad laboral en getonbrd.com.

What you will do

  • Write and review code to set the bar for engineering quality, maintaining a strong hands-on presence and contributing to critical components.
  • Guide engineers through technical decisions, help weigh tradeoffs, and empower teams to move forward with confidence.
  • Drive engineering standards and best practices by modeling them in your work and scaling them across multiple teams.
  • Lead high-impact technical initiatives that cross team boundaries, ensuring alignment and timely execution.
  • Shape and implement architectural vision, contribute to system design, and ensure technical decisions support long-term goals.
  • Mentor and coach engineers, fostering technical growth and building a culture of excellence and collaboration.

Required skills and experience

  • 8+ years of software development experience with a track record of delivering high-quality systems at scale.
  • Hands-on experience across backend and frontend or system-level work, with the ability to switch contexts as needed.
  • Proven experience shaping and implementing architecture in cloud environments (AWS, GCP, or Azure).
  • Strong communication skills in English, with the ability to align engineers, leaders, and stakeholders.
  • Proficiency with Git or other modern code version control systems, and familiarity with modern CI/CD practices.
  • A deep curiosity and a collaborative mindset, with a passion for mentoring and developing others.

Nice-to-have characteristics

  • Experience leading large-scale ML platform initiatives and data-centric architectures.
  • Exposure to data engineering, ML workflows, and platform-as-a-service concepts.
  • Comfort working in fast-moving, multi-disciplinary teams and translating business goals into technical outcomes.

What we offer

Join a collaborative, growth-oriented team at InTune Analytics. We offer competitive compensation, opportunities for continuous learning, flexible work arrangements, and a culture that values experimentation and well-being. If you’re excited by building scalable ML platforms and operating at the intersection of data, software, and AI, we’d love to hear from you.

GETONBRD Job ID: 56558

Trabajo 100% remoto El cargo puede ser desempeñado desde cualquier lugar del mundo.
Horario flexible Entrada y salida flexibles, libertad para realizar trámites personales o familiares.
Viajes o retiros de empresa Actividades de integración del equipo fuera del espacio de trabajo.
Bono por desempeño Existen pagos adicionales al sueldo especificado si se cumplen objetivos.
Vestimenta informal InTune Analytics no exige ningún código de vestimenta.
Vacaciones extra InTune Analytics otorga vacaciones pagadas adicionales al mínimo legal.

Política de trabajo remoto

Totalmente remoto

El trabajo es 100% remoto desde cualquier país.

  1. Empleos
  2. Programación
  3. InTune Analytics
  4. Staff Engineer

Acerca de InTune Analytics

No candidate will meet every single desired qualification. If your experience looks a little different from what we identify below and you think you can bring value to the role, we’d love to hear from you! — Perfil completo de InTune Analytics

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