Senior Backend Software Engineer IV [Remote]

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

In this role, you will help shape the core backend systems powering a modern healthcare platform that delivers personalized, AI-enabled care at scale. You will design and evolve the APIs, services, and data infrastructure that support millions of user interactions across web and mobile applications. This is a senior-level engineering position with significant ownership of architecture, performance, and scalability decisions. You will work in a highly collaborative environment alongside product, data, and frontend teams to build secure, reliable, and intelligent systems. The role combines hands-on coding with technical leadership, mentoring, and system design. You will also play a key role in modernizing data architecture and enabling AI-driven product capabilities.

Accountabilities:

• Lead the design and evolution of backend architecture, including microservices and scalable APIs that power member-facing applications across web and mobile platforms.
• Build and maintain high-performance systems using Python and Django, ensuring clean, testable, and production-ready code at scale.
• Design and optimize PostgreSQL data models and queries while integrating operational and analytical data sources such as BigQuery and dbt.
• Own cloud infrastructure on Google Cloud Platform, leveraging Terraform for infrastructure-as-code and ensuring system reliability and scalability.
• Implement event-driven and asynchronous systems using tools such as Celery and Pub/Sub to support workflows, notifications, and real-time features.
• Define and monitor system reliability metrics (SLAs, SLOs, SLIs), and lead incident response, root cause analysis, and long-term fixes.
• Collaborate cross-functionally with Data Engineering, AI, Product, and Frontend teams to deliver end-to-end features and data-driven user experiences.
• Mentor engineers and contribute to engineering best practices including code quality, testing, documentation, and system design standards.

Requirements:

This role requires extensive backend engineering experience, strong system design capability, and deep expertise in distributed systems and cloud infrastructure. Candidates should bring a strong track record of building and scaling production-grade services in fast-paced environments.

• 7+ years of professional software engineering experience, including leadership on complex backend initiatives.
• Strong expertise in Python and Django, with experience maintaining large-scale production systems.
• Advanced system design skills with experience building distributed, scalable backend architectures.
• Hands-on experience with Google Cloud Platform (GCP), including infrastructure provisioning and optimization.
• Proven experience with Terraform and infrastructure-as-code practices.
• Strong knowledge of PostgreSQL, relational database design, and SQL optimization.
• Experience working with BigQuery and dbt, including integrating analytical data into application backends.
• Strong understanding of containerization and orchestration tools such as Docker and Kubernetes.
• Experience building or supporting event-driven systems and asynchronous processing workflows.
• Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders.
• Preferred: experience in healthcare, regulated environments (HIPAA/SOC2), or AI/ML-enabled systems.

Benefits:

• Competitive compensation package aligned with senior-level engineering roles
• Remote-first work environment within the United States
• Comprehensive health, dental, and vision insurance options
• Opportunities to work on AI-enabled healthcare products at scale
• Career growth in a high-impact, senior technical leadership role
• Exposure to modern data stack technologies (BigQuery, dbt, GCP)
• Collaborative engineering culture with strong emphasis on mentorship and learning
• Inclusive work environment with a focus on diversity and equal opportunity

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.

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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.