Lead Software Engineer

4 semanas atrás

Barueri, Brasil buscojobs Brasil Tempo inteiro

Overview

Lead Software Engineer – Offshore

Location: 100% Remote / Telework

Employment Type: Full-Time

We are looking for a Lead Software Engineer (Offshore) to lead our global engineering team responsible for building AI-first applications for our client. This is a hands-on leadership role combining architecture oversight, coding, and agile team management to deliver scalable, cost-effective digital solutions. The Lead will ensure reduced vendor dependency, retain IP, and accelerate delivery speed.

Key Responsibilities
  • Build and lead an offshore engineering team (mix of FTEs and partners) to deliver enterprise-scale applications.
  • Collaborate with Product Management and Data Science teams to develop AI-native applications for clinicians and patients.
  • Establish engineering best practices including CI / CD, test automation, code quality, and cloud-native deployments.
  • Drive architectural decisions (microservices, APIs, security, scalability).
  • Ensure cost-efficient delivery while maintaining high quality and reliability.
  • Act as a hands-on leader, including coding, reviewing, and mentoring team members.
  • Align mobile platforms with organizational priorities to enhance patient engagement, provider efficiency, and enterprise growth.
Supervisory Responsibilities
  • Lead strategy, design, and execution of all mobile applications and digital tools across iOS, Android, and cross-platform environments.
  • Oversee end-to-end development lifecycle, including architecture, security, integration with clinical systems, and user experience.
  • Ensure performance, scalability, compliance, and alignment with organizational goals.
Qualifications
  • Education: Master’s Degree in Healthcare, User Experience, Human-Centered Design, or relevant field preferred.
  • Experience: 10+ years in software engineering with at least 3 years leading offshore teams.
  • Skills & Competencies: Expertise in AI / ML-enabled applications and API-first architectures.
  • Proficient in modern cloud tech stacks (AWS, Azure, GCP), Kubernetes, and microservices.
  • Strong collaboration with data scientists, engineers, and product stakeholders.
  • Ability to translate complex ML concepts into business outcomes.
  • Data-driven decision-making using KPIs and telemetry.
  • Advocates for ethical AI, bias mitigation, explainable models, and data privacy.
  • Ensures compliance with regulatory standards and internal governance frameworks.
Working Conditions
  • Full-time remote / telework.
  • Computer-based work.
  • Occasional travel for leadership meetings and team planning.
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