Lead Software Engineer (Back End) [Remote]

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Software Engineer (Back End) in United States.

This role is a high-impact technical leadership position focused on building and scaling backend systems in a modern cloud-native environment. You will design and deliver robust solutions on AWS while driving architecture decisions that shape long-term platform evolution. The position combines hands-on engineering with technical leadership, mentoring, and cross-functional collaboration across product, design, and business teams. You will play a key role in integrating complex systems, including AWS services and Salesforce, ensuring secure and seamless data flow. The environment is fast-paced, agile, and mission-driven, with a strong emphasis on engineering excellence and continuous improvement. This is an opportunity to influence both technical direction and customer-facing digital experiences at scale.

Accountabilities:

In this role, you will be responsible for leading backend engineering efforts, architecting scalable systems, and ensuring high-quality delivery across cloud-based platforms.

• Design, develop, and deploy scalable backend solutions on AWS, ensuring reliability, performance, and security across distributed systems.
• Lead architecture discussions, technical decision-making, and code quality standards to support long-term system scalability and maintainability.
• Build and maintain integrations between AWS services and Salesforce, ensuring seamless and secure data exchange.
• Collaborate closely with product, design, and business stakeholders to deliver impactful, user-focused digital experiences.
• Provide technical leadership, mentorship, and hands-on support to engineering teams, removing blockers and guiding solution design.
• Own CI/CD-driven delivery processes using tools such as GitHub and Jira, ensuring efficient and predictable releases.
• Implement and enforce engineering best practices, including testing strategies, production readiness, and operational excellence.
• Identify opportunities for process improvement and contribute to a culture of continuous learning and innovation.

Requirements

This role requires deep backend engineering expertise, strong cloud architecture experience, and proven leadership in complex distributed systems.

• 10+ years of software engineering experience, including at least 5+ years working extensively with AWS cloud environments.
• Strong programming background in Java, Python, Node.js, or Bash, with deep backend development expertise.
• Proven experience designing and delivering complex, scalable backend systems in cloud-native architectures.
• Hands-on expertise with AWS services such as Lambda, EC2, RDS, EKS, and S3.
• Strong understanding of software architecture principles, design patterns, and secure system design.
• Experience building and maintaining Salesforce integrations using APIs and/or middleware tools (MuleSoft experience a plus).
• Strong knowledge of security practices including encryption, authentication, authorization, and data protection.
• Excellent problem-solving skills with the ability to troubleshoot complex distributed system issues.
• Strong communication skills with the ability to engage both technical and non-technical stakeholders.
• Ability to manage multiple priorities in a fast-paced environment while maintaining high-quality delivery standards.
• Experience in financial services is a plus but not required.

Benefits

• Competitive annual salary range: $181,000 – $208,000 (based on experience, skills, and location)
• Comprehensive medical, dental, and vision insurance
• 401(k) retirement plan with company match
• Paid holidays, vacation, sick leave, and volunteer time off
• 12 weeks of paid parental leave
• Flexible pre-tax transit benefits
• Life insurance at no cost and voluntary benefit options
• Wellness incentive programs and employee support resources
• Pet health insurance discounts
• Mentorship, leadership development, and strong career growth opportunities
• Certified Great Place to Work® environment with a strong team culture.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.