Lead Software Engineer (9.000 USD / Monthly)

Lead Software Engineer – Offshore

Location: 100% Remote / Telework

Employment Type: Full-Time

Monthly salary: 9,000 USD

About the Role

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.
• Proven track record of delivering high-velocity, cost-effective software solutions.

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.