Lead Software Development Engineer

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Software Development Engineer in the United States. This is an exciting opportunity for an experienced software engineering leader to help shape the future of cloud-native supply chain technology and intelligent logistics infrastructure. In this role, you will architect and build scalable backend systems that power high-throughput shipping and fulfillment solutions used by enterprise clients. You’ll operate across the full software lifecycle, balancing hands-on coding, distributed systems design, technical mentorship, and production ownership in a fast-paced engineering environment. The position offers the chance to work with modern AI-assisted development tools, advanced cloud technologies, and event-driven architectures while solving complex operational challenges at scale. Ideal for a technically strong and collaborative engineer, this role combines deep platform engineering responsibilities with leadership opportunities that influence engineering standards, product strategy, and team growth. You’ll join a fully remote and innovation-focused environment where autonomy, reliability, and technical excellence are highly valued.
• Accountabilities: Design, develop, and maintain scalable microservices, APIs, and distributed platform systems using Java, Python, or TypeScript. Architect cloud-native solutions across AWS environments utilizing Docker, Kubernetes, and modern distributed systems patterns. Build and optimize data architectures leveraging PostgreSQL, MongoDB, Redis, and real-time or batch-processing pipelines. Develop event-driven systems, RESTful APIs, and message queue integrations that support enterprise-scale logistics and supply chain operations. Leverage AI-powered development tools and automation frameworks to accelerate coding, testing, monitoring, and performance optimization workflows. Establish and maintain engineering best practices related to coding standards, automated testing, monitoring, observability, and deployment reliability. Contribute to CI/CD pipeline improvements and collaborate with DevOps teams to streamline release management and operational efficiency. Lead code reviews, troubleshoot production issues, and serve as a technical escalation point for platform-related incidents. Produce clear technical documentation including architecture decisions, API specifications, and system implementation guides. Collaborate closely with product management, customer-facing teams, and data-focused teams to translate business needs into scalable technical solutions. Mentor engineers across the organization by providing guidance on software design, engineering standards, career development, and technical problem-solving. Take end-to-end ownership of system reliability, scalability, performance, and operational stability across production environments. Requirements: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Minimum 5–8 years of progressive experience in software engineering, distributed systems, or platform engineering roles. At least 3 years of experience designing and implementing scalable cloud-native services, APIs, and microservices architectures. Strong hands-on experience with AWS cloud platforms and distributed systems infrastructure. Proficiency in one or more backend programming languages including Java, Python, or TypeScript. Experience with containerization technologies such as Docker and Kubernetes. Familiarity with PostgreSQL, MongoDB, Redis, and scalable data architecture design. Demonstrated ability to leverage AI development tools such as Claude Code, code-generation models, or AI-assisted testing frameworks within engineering workflows. Strong understanding of CI/CD pipelines, observability practices, automated testing, and production monitoring. Proven experience mentoring engineers and influencing engineering standards within collaborative technical teams. Excellent communication and documentation skills with the ability to explain technical concepts to cross-functional stakeholders. Experience within logistics, supply chain technology, shipping platforms, or B2B SaaS environments is considered a strong advantage. Benefits: Fully remote work environment available across multiple U.S. states. Comprehensive medical, dental, and vision insurance coverage, including partial dependent coverage. 401(k) retirement savings plan to support long-term financial planning. Optional life insurance and long-term disability coverage. Generous paid parental leave program with 8 weeks of paid leave. Flexible self-managed vacation policy along with sick and safety leave. Paid holidays and volunteer time off to support personal well-being and community involvement. Opportunity to work on innovative cloud infrastructure and AI-driven logistics technologies at scale. Collaborative and inclusive workplace culture that values mentorship, diversity, and professional growth. Exposure to modern AI-assisted software development practices and large-scale distributed systems engineering.
• 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! Why Apply Through Jobgether? 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.
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