Senior Engineer Manager | Core Platform

Machinify is a leading healthcare intelligence company with expertise across the payment continuum. They are seeking a Senior Engineer Manager to lead a team responsible for building and evolving their internal platform-as-a-product, enabling product teams to ship faster and more reliably while fostering a high-performance engineering environment.

Responsibilities:

• Lead Platform Engineering Initiatives: Own the technical roadmap and execution for Core Platform services which are the foundations for the business application verticals, and enabling them at scale
• Build and Grow High-Performing Teams: Manage, mentor, and develop a team of backend engineers; conduct 1:1s, performance reviews, career development conversations, and hiring
• Drive Cross-Functional Collaboration: Partner with product engineering teams to understand their needs and evolve the platform to serve them better; act as an internal consultant and evangelist for platform adoption
• Architect Scalable Platform Solutions: Own the design and implementation middleware and services that support multiple applications; ensure platform components are composable, flexible, secure-by-default, and self-service. Participate in architecture reviews, write RFCs, and drive technical decision-making; stay hands-on with code reviews and technical guidance when needed
• Champion Engineering Excellence: Establish best practices for platform development including API design, versioning, backward compatibility, observability, and documentation; reduce cognitive load for platform consumers
• Balance Technical Debt and Innovation: Make strategic tradeoffs between feature velocity, technical debt, and platform evolution; use data and ROI frameworks (RICE, etc.) to prioritize initiatives
• Improve Developer Experience: Measure and optimize platform adoption, API usability, and developer productivity; build tools and documentation that enable self-service
• Navigate Healthcare Complexity: Understand the unique constraints of healthcare systems including compliance, data security, multi-tenancy, and audit requirements; ensure platform solutions meet healthcare standards
• Own Operational Excellence: Ensure platform services meet SLAs for availability, performance, and reliability; Establish monitoring, alerting, and incident response processes

Requirements:

• 8+ years of software engineering experience with deep expertise in backend systems, distributed architecture, and platform engineering
• 3+ years of engineering management experience leading teams of 6-10+ engineers; proven ability to hire, develop, and retain top talent
• Platform Engineering Expertise: You've built middleware, shared services, or platform capabilities that serve multiple applications and teams; you understand what makes a great internal platform
• Distributed Systems Experience: Strong understanding of microservices, event-driven architecture, message queues (Kafka, RabbitMQ), API design, and service mesh patterns. Experience deploying such services to production at scale
• Backend Technology Depth: Proficiency in modern backend languages (Scala, Java, Python, Go, or similar) and frameworks; experience with containerization (Docker/Kubernetes) and cloud platforms (AWS, GCP, or Azure)
• Cross-Functional Leadership: Proven ability to lead initiatives across multiple teams; experience working with product managers, designers, and other engineering leaders to drive outcomes
• Super Organized and Detail-Oriented: Exceptional project management skills; ability to juggle multiple initiatives, track dependencies, and deliver on commitments; creates clarity from ambiguity
• Technical Communication: Excellent written and verbal communication; ability to write clear RFCs, architecture docs, and API specifications; can explain complex technical concepts to non-technical stakeholders
• Product Mindset: Treats the platform as a product with internal customers; gathers requirements, prioritizes based on impact, and measures adoption and satisfaction
• AI/ML Platform Experience: Built infrastructure for LLM integration, model serving, ML pipelines, or AI application development; understanding of prompt engineering, RAG systems, or AI observability
• Healthcare Payment Integrity Domain Experience: Experience with several of: healthcare claims processing, payment integrity, medical coding, clinical NLP, healthcare data models, data mining in the domain
• Large-Scale Systems: Built platform services supporting hundreds of developers or processing millions of transactions per day
• DevOps and Infrastructure: Experience with CI/CD pipelines, infrastructure-as-code, and GitOps workflows
• Data Platform Experience: Built data pipelines, event streaming platforms, or analytics infrastructure
• Strangler Fig Pattern: Experience with incremental migration strategies, legacy system modernization, or service extraction from monoliths