Lead Software Engineer | Remote with 25% Differential Pay!
Company: Connext Global Solutions Inc
Location: Metro Manila (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-07-18
About this role
Req ID: 4839
Connext is a dedicated team of business process outsourcing experts and innovators, with experience in supporting world-class companies in Title and Escrow, Healthcare, Produce Distribution, Retail and Fashion, Design Consulting, and Finance.
We are currently looking for a Lead Software Engineer who will be working with Connext's Client in the United States of America.
What's in it for you?
- Competitive compensation
- Perfect Attendance Bonus
- Life insurance
- HMO Insurance
- Great company culture
- **25% Night Differential**
- **Annual Increase**
- **Mid-year Bonus!**
- **Work from Home!**
*What is the job?*
The Lead Software Engineer is a senior individual contributor responsible for defining technical direction, designing scalable software architecture, and establishing engineering standards across the platform.
*Responsibilities:*
• Define technical architecture, engineering direction, and scalable platform strategies.
• Lead design and optimization of software systems, frameworks, data models, and integrations.
• Establish engineering standards, coding practices, CI/CD processes, and secure development practices.
• Build data architecture solutions supporting analytics, AI workloads, and platform scalability.
• Drive technical decisions, resolve risks, reduce technical debt, and improve system performance.
• Mentor engineering teams and collaborate with stakeholders to deliver effective technical solutions.
*Qualifications:*
• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related field.
• Minimum of five (5) years of experience in software engineering, with demonstrated experience operating at a senior, staff, or principal engineering level.
• Experience with modern technology stacks such as in AWS cloud services, React / Next.js, Node.js, Python, PostgreSQL / SQL databases.
• Experience with cloud data technologies such as in Databricks, Snowflake, AWS ...