Job Description

Our Platform Engineering team plays a crucial role in supporting this transformation by ensuring our cloud infrastructure, backend services, and developer tools are scalable, secure, and high-performing. As we integrate data-driven decision-making and AI/ML automation, we are also expanding our infrastructure capabilities to support AI workloads and advanced data pipelines.

We operate in a regulated industry with strict HIPAA compliance and security requirements. Our technology stack includes Kotlin, TypeScript, React, Micronaut, PostgreSQL, Kubernetes, and AWS-based infrastructure. You should be enthusiastic about working on modern platform engineering challenges, including backend development, infrastructure automation, DevOps, and AI/ML support.

Finally, we value trust, collaboration, and mutual respect—our best work happens together.

Position Overview

Curative is seeking a highly skilled and experienced AI Software Engineer to join our Platform Engineering team. As a key member of our team, you will be responsible for:

• Developing and optimizing APIs, authentication systems, and microservices architecture to ensure seamless communication across our systems.
• Building and maintaining cloud infrastructure, backend services, and developer tooling that power our healthcare platform.
• Contributing to occasional frontend development for internal tools and developer-facing platforms.
• Supporting AI/ML infrastructure and data pipelines, ensuring scalability, observability, and automation for ML workloads.

This is a software-first role, with backend development responsibilities and AI/ML support as a secondary focus. You will work closely with cross-functional teams to ensure our platform remains reliable, secure, and scalable.

Responsibilities

Backend Development

• Develop and optimize APIs, microservices, and backend systems to ensure scalability, reliability, and security.
• Work with PostgreSQL, AWS RDS, and ElasticSearch to optimize data storage and retrieval performance.
• Build scalable authentication and authorization services (RBAC, OAuth, JWT).
• Collaborate with frontend engineers to ensure seamless integration between backend services and UI components.

AI/ML Infrastructure & Data Pipelines

• Support AI/ML model deployment and inference pipelines, ensuring scalability and reliability.
• Assist in developing data pipelines for feature engineering and ML training using Apache Spark, Kafka, or Flink.
• Monitor AI workloads and improve observability for ML models using MLflow, DataDog, or Prometheus.
• Work with AI/ML engineers to optimize cloud infrastructure for LLM workloads.

Core Platform & Infrastructure Engineering

• Design, implement, and optimize cloud infrastructure using AWS, Kubernetes (EKS), and Infrastructure-as-Code (Terraform, Terragrunt).
• Develop and maintain internal developer platforms, authentication services, and API gateways.
• Automate infrastructure deployments using CI/CD pipelines (BuildKite, ArgoCD, GitHub Actions, etc.).

Frontend Development (Occasional)

• Contribute to internal tools and dashboards using React, TypeScript, and modern frontend frameworks.
• Build UI components for developer experience, system monitoring, and admin workflows.
• Ensure APIs and frontend systems integrate efficiently.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• Deep knowledge of backend development, API design, and microservices architecture.
• Experience with PostgreSQL, AWS RDS, and ElasticSearch for data management and optimization.
• 4+ years of experience in software engineering, platform engineering, or infrastructure automation.
• Strong experience with cloud computing platforms (AWS, Azure, or Google Cloud).
• Proficiency in Infrastructure-as-Code (IaC) using Terraform, Pulumi, or Terragrunt.
• Proficiency in Python, Bash, or other scripting languages for automation.
• Hands-on experience with CI/CD pipelines using BuildKite, Jenkins, GitHub Actions, or similar tools.
• Understanding of observability and monitoring using DataDog, FluentBit, OpenTelemetry, or Prometheus.
• Strong communication and collaboration skills with a problem-solving mindset.

Preferred Qualifications

• Experience in frontend development with React, TypeScript, and modern UI frameworks.
• Exposure to MLOps, LLMOps, and AI model deployment tools (SageMaker, TensorFlow Serving, Triton Inference Server).
• Familiarity with feature stores (Feast, Tecton) and real-time AI pipelines.
• Experience with high-throughput streaming data architectures (Kafka, Flink, Spark).
• Security-first mindset, with experience in designing HIPAA-compliant AI/ML systems

Why Join Us?

• Work on cutting-edge platform engineering challenges, from backend services to cloud automation.
• Gain exposure to AI/ML innovations while focusing on core infrastructure and software development.
• Occasionally contribute to frontend development, keeping your skillset well-rounded.
• Remote-friendly culture with a collaborative, high-performance team.
• Competitive salary, strong benefits, and opportunities for professional growth.
• Base Salary of 210,000 CAD
• Generous Equity package

If you’re an experienced software/platform engineer who thrives in backend, infrastructure, and DevOps work while also enjoying occasional frontend and AI/ML support, we’d love to hear from you!

Apply now to join Curative’s mission-driven engineering team.

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