Principal Software Development Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Software Development Engineer based in the United States.

This role offers the opportunity to shape the future of enterprise technology by designing scalable platforms, leading architectural decisions, and driving software innovation.
The ideal candidate will bring deep expertise in distributed systems, cloud engineering, data platforms, and modern software development practices.
You will serve as a technical authority, guiding engineering teams in building secure, reliable, and high-performing solutions that support critical business operations.
This position combines hands-on engineering, strategic technology leadership, and mentorship across complex enterprise environments.
You will help accelerate modernization initiatives while exploring emerging technologies such as artificial intelligence, machine learning, and automation.
This is a fully remote opportunity for an experienced engineering leader who thrives on solving complex technical challenges and influencing long-term technology strategy.

Accountabilities:

• Serve as the technical authority for enterprise financial systems, billing platforms, and data solutions by defining architecture standards, engineering principles, and technology strategies.
• Design and oversee scalable, secure, highly available, and resilient distributed systems across enterprise platforms.
• Lead architecture reviews, provide technical guidance to engineering teams, and identify solutions to complex technical challenges.
• Develop and optimize data ingestion pipelines, high-volume transaction processing systems, pricing engines, and enterprise data platforms.
• Guide the development of cloud-native solutions using AWS services, serverless architectures, and modern engineering practices.
• Drive platform modernization initiatives across applications, infrastructure, integrations, and data environments.
• Champion the adoption of AI technologies, including large language models (LLMs), retrieval-augmented generation (RAG), agentic AI systems, and AI-assisted software development practices.
• Partner with data science teams to implement machine learning and advanced analytics solutions that improve business outcomes.
• Establish software engineering best practices across architecture, design patterns, testing, security, DevOps, and operational excellence.
• Mentor engineers, conduct technical design reviews, and promote a culture of innovation, accountability, and continuous improvement.
• Improve engineering productivity through automation, low-code solutions, and platform tooling.
• Lead incident response activities for critical production issues and drive root-cause analysis and resolution.
• Collaborate with executives, business stakeholders, and engineering leaders to align technology investments with strategic objectives.
• Translate complex technical concepts into business-focused recommendations and contribute to long-term technology planning.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
• 10+ years of professional software engineering experience.
• 5+ years of experience providing technical leadership across multiple teams or large-scale technology platforms.
• Expert-level experience with Python, C#, and .NET Core.
• Deep expertise in software architecture, distributed systems design, and enterprise application development.
• Strong experience designing and building cloud-native applications using AWS.
• Advanced knowledge of PostgreSQL, Snowflake, SQL optimization, data modeling, and enterprise-scale data solutions.
• Experience implementing event-driven architectures, microservices, and modern integration patterns.
• Proven ability to lead large-scale modernization, transformation, or platform evolution initiatives.
• Hands-on experience with AI technologies such as LLMs, RAG, agentic AI systems, or AI-powered enterprise solutions.
• Strong communication, leadership, mentoring, and strategic problem-solving skills.
• Experience with NetSuite and Salesforce integrations is preferred.
• Familiarity with low-code platforms such as OutSystems is a plus.
• Experience with financial systems, billing platforms, pricing engines, revenue management solutions, enterprise data lakes, analytics platforms, or data mesh architectures is preferred.

Benefits:

• Competitive annual base salary range of approximately $118,600-$165,000, depending on location, skills, experience, and education.
• Fully remote work opportunity available anywhere in the United States.
• Comprehensive medical, dental, and vision insurance plans.
• Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
• Life and accidental death and dismemberment insurance coverage.
• 401(k) retirement plan.
• Tuition reimbursement opportunities.
• Resources and programs focused on employee health, wellness, and long-term development.
• Opportunity to lead innovative technology initiatives and influence enterprise engineering strategy.
• Collaborative environment focused on innovation, growth, and meaningful business impact.

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.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.