This is a role for someone who combines deep technical judgment with the communication skills and organizational awareness to operate effectively across teams and time zones.
Responsibilities
Lead and develop a team of four experienced backend engineers — setting technical direction, running effective processes, and growing individual capabilities.
Maintain and raise the technical quality of systems spanning client integrations, billing, backoffice, and vendor pipelines — upholding standards across code quality, reliability, security, and maintainability.
Drive the technical design and execution of client onboarding and integration projects — working across internal teams and directly with external technical stakeholders when needed.
Partner closely with Product, Operations, Finance, and external client teams to translate complex requirements into reliable technical solutions.
Stay hands-on — contribute to design, code review, and critical implementation where it matters most.
Drive adoption of AI tools and engineering workflows that improve team throughput and output quality.
Technology stack
Languages & frameworks: Scala, Play Framework, Node.js
Frontend: React Native, ReactJS
Cloud & infrastructure: AWS, Kubernetes, Docker
Databases: MongoDB, PostgreSQL, Redis
Messaging & streaming: Kafka
CI/CD: Jenkins
Observability: Prometheus, Grafana
Qualifications
3-4 years leading or managing an engineering team — including coaching and driving technical initiatives.
7+ years of backend engineering experience, with meaningful depth in distributed systems, system design, production reliability, and complex backend architectures.
Solid understanding of cloud infrastructure (AWS or equivalent) and how it underpins reliable system operations, with strong focus on security, performance, and maintainability at scale.
Excellent English communication skills — written and verbal — comfortable operating across US-based teams and occasionally engaging directly with external technical stakeholders.
Hands-on experience with complex integration environments — third-party APIs, data pipelines, or enterprise client onboarding and implementation.
Strong AI fluency — actively uses AI tools to accelerate personal and team workflows.
Degree in Computer Science or a related field, or equivalent practical experience.
Nice to have Qualifications
Hands-on experience with Node.js or Scala.
Experience with Kubernetes and containerized deployment environments.
Familiarity with healthcare data integrations.
Experience working in B2B environments
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