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Product Engineer, Platform

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Product Engineer, Platform in USA new

  • New York, NY

Responsibilities

  • Own and evolve Pelago’s event-driven data platform and production data pipelines.
  • Manage Infrastructure as Code and deployment systems to make environments reproducible and releases safe.
  • Build consistent patterns for integrating data sources and services.
  • Deliver platform and data capabilities for analytics, reporting, and member-facing product features.
  • Own observability, alerting, on-call operations, and incident response for services and data systems.
  • Optimize AWS hosting and data costs while maintaining reliability.
  • Build platform capabilities supporting agentic workflows.
  • Partner with analytics, product, clinical, and commercial teams to define platform ownership and downstream use.
  • Improve AI-assisted engineering practices, testing, documentation, knowledge sharing, and review quality.

Requirements

  • Strong production experience as a backend, platform, or systems engineer in a startup or scale-up environment.
  • Hands-on experience with Terraform, Infrastructure as Code, and building and maintaining deployment pipelines.
  • Strong experience designing, securing, and operating AWS cloud-native services.
  • Proficiency in Python and TypeScript with Node across backend services, data pipelines, and tooling.
  • Deep experience with event-driven architectures and data platforms, including Kafka or AWS-native streaming and messaging and production third-party data integrations.
  • Strong observability and reliability skills, including monitoring, alerting, and runbooks for incorrect, late, or incomplete systems and data.
  • Experience optimizing hosting costs and making cost-aware architecture decisions.
  • Familiarity with agentic workflows and systems that support them.
  • Strong relational database design and SQL skills.
  • Strong product sense and ability to understand downstream platform use.
  • Ability to operate autonomously in ambiguous environments and make sound trade-offs.
  • Fluency with AI-augmented engineering workflows while maintaining human judgment and QA discipline.
  • Preferred: experience with dbt and data modeling, healthcare or regulated software, healthcare data integrations, marketing or engagement platforms, or building foundational systems from 0 to 1.

Benefits

  • Hybrid full-time role requiring three days per week in the NYC office.
  • Total compensation includes an incentive bonus program, stock options, comprehensive benefits, and applicable incentive pay.
  • Pelago provides candidate accommodations upon request during the interview process.

Salary: $190k - $200k/yr

Pelago

Pelago provides a virtual clinic for substance use management, combining digital programs, live counseling, CBT, and medication-assisted treatment for alcohol, tobacco, opioid, cannabis, and stimulant use. It sells to employers and health plans as a confidential benefit for members, delivered thr...

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