Senior Backend Architect, AI Systems (Remote Canada)

Jobgether

United States

Remote

USD 102,000 - 143,000

Full time

7 days ago
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Job summary

Jobgether is seeking a senior engineer to lead the architectural transformation of our core recommendation pipeline into a modern, distributed system. You will design, develop, deploy, and operate scalable backend services powering personalized content, send-time optimization, and frequency capping.

You will collaborate with machine learning engineers and product stakeholders to translate requirements into robust architectures, own critical components end-to-end, and champion best practices in

Qualifications

  • 5+ years of professional software engineering experience, focused on distributed systems.
  • Experience building highly available, fault-tolerant, high-concurrency distributed systems.
  • Strong fundamentals: system design, testing, Git, code reviews, CI/CD.
  • Strong Python backend development experience.
  • Experience with Spark, Flink, or Beam; Spark preferred.
  • Understanding of distributed systems concepts: consensus, partitioning, replication, back-pressure, idempotency, failure handling.
  • Cloud experience with GCP, AWS, or Azure.
  • Familiarity with microservices, Kubernetes, Kafka, gRPC.
  • CI/CD and automated deployments.
  • Docker, Kubernetes, and GitHub Actions familiarity.
  • Leadership and communication to influence architectural decisions.
  • Analytical, production problem-solving.
  • Adaptability and lifelong learning.

Responsibilities

  • Lead architectural transformation of the core recommendation pipeline into a modern distributed system.
  • Design, develop, deploy, and operate scalable backend services for personalization.
  • Identify and resolve performance bottlenecks and scalability issues across distributed systems.
  • Collaborate with ML engineers and product teams to translate requirements into robust designs.
  • Own end-to-end critical components, including architecture, development, deployment, and incident response.
  • Promote best practices in testing, observability, and operational excellence.
  • Contribute to continuous improvement of distributed infrastructure for high availability.
  • Provide technical leadership and mentorship to peers.
  • Participate in architectural discussions to influence AI infrastructure direction.
  • Foster accountability and a culture of collaboration and lifelong learning.

Skills

Distributed systems
Python
Spark
Flink
Beam
Kubernetes
Kafka
gRPC
CI/CD
Unit testing
Git
Code reviews
Docker
GitHub Actions
Mentorship

Tools

Docker
GitHub Actions
CI/CD tooling

Job description

Jobgether is seeking a senior engineer to lead the architectural transformation of our core recommendation pipeline into a modern, distributed system. You will design, develop, deploy, and operate scalable backend services powering personalized content, send-time optimization, and frequency capping.

You will collaborate with machine learning engineers and product stakeholders to translate requirements into robust architectures, own critical components end-to-end, and champion best practices in

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