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Engineering Manager, Platform

Jobtailor

  • Lead, manage, and develop a team of platform and backend engineers
  • Own execution and delivery across Platform projects
  • Set priorities, break down ambiguous projects, and move projects from design through production
  • Run technical planning, design reviews, and engineering reviews
  • Coach senior and junior engineers and raise the team’s technical bar
  • Partner with the Head of Engineering on platform strategy, architecture, hiring, and organizational priorities
  • Identify and resolve execution risks
  • Design and build production backend and platform systems
  • Take ownership of technically difficult or high-priority projects
  • Review architecture, code, infrastructure changes, and technical designs
  • Debug complex production and distributed-system issues
  • Make architectural decisions balancing speed, reliability, scalability, and maintainability
  • Establish reusable technical patterns and standards
  • Own backend platform reliability, scalability, and performance
  • Design systems supporting growing clinical workloads
  • Improve observability, monitoring, alerting, and incident response
  • Own cloud infrastructure and improve security, cost efficiency, and operational resilience
  • Build shared services and infrastructure for product engineers
  • Improve developer experience, deployment workflows, testing, and engineering productivity
  • Eliminate technical bottlenecks
  • Partner with ML engineers and researchers to productionize AI capabilities
  • Build infrastructure for model inference, evaluation, experimentation, and data processing
  • Support applied ML initiatives and scalable foundations for the ML organization
  • Balance AI quality with latency, reliability, scalability, and cost
  • Report directly to the Head of Engineering
Requirements
  • 7+ years of professional software engineering experience
  • Previous experience directly managing a software engineering team
  • Strong hands-on backend engineering experience and willingness to continue writing production code
  • Deep experience designing and operating distributed backend systems
  • Strong system design and software architecture skills
  • Experience building production systems on AWS or another major cloud platform
  • Experience owning production systems with meaningful scale, reliability, and availability requirements
  • Strong understanding of databases, APIs, asynchronous systems, queues, caching, and distributed architectures
  • Experience with infrastructure, observability, deployment systems, and production operations
  • Demonstrated ability to lead complex technical projects from ambiguity through production
  • Ability to effectively manage both senior and junior engineers
  • Strong communication skills and ability to work across engineering, product, ML, and business teams
  • Experience with Python and modern backend frameworks
  • Experience with AWS services such as Lambda, ECS/EKS, SQS, RDS, DynamoDB, S3, CloudWatch, or related technologies
  • Experience operating event-driven or asynchronous distributed systems
  • Experience building systems with strict latency and reliability requirements
  • Experience with containers, infrastructure-as-code, and modern CI/CD systems
  • Experience building data infrastructure or large-scale processing pipelines
  • Experience supporting ML systems, model inference, LLM applications, or AI infrastructure
  • Experience in healthcare technology or other regulated environments
  • Experience with HIPAA-compliant systems and healthcare data
  • Experience working in fast-moving startup environments where engineering leaders remain deeply involved in execution
  • Legally authorized to work in the US
  • Must answer whether visa sponsorship or transfer will be required
Core Competencies

Demonstrates extensive experience in backend engineering, team leadership, and system design, with a strong focus on building scalable and reliable production systems. Proficient in managing complex technical projects and collaborating across engineering, product, and ML teams.

Highest-signal resume keywords
  • Backend Engineering
  • Team Management
  • AWS Cloud Services
  • System Design
  • Distributed Systems
ATS Optimization Keywords
Hard Skills
  • Python
  • Backend Frameworks
  • Database Management
  • APIs
  • Asynchronous Systems
  • Infrastructure-as-Code
  • CI/CD Systems
  • Data Processing Pipelines
  • Model Inference
  • Event-Driven Systems
Soft Skills
  • Strong Communication
  • Team Coaching
  • Project Leadership
Industry Keywords
  • Healthcare Technology
  • HIPAA Compliance
  • Regulated Environments
Tools & Technologies
  • AWS Lambda
  • ECS/EKS
  • SQS
  • RDS
  • DynamoDB
  • S3
  • CloudWatch
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Vacancy posted 16 hours ago
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