Principle Platform Architect

Overview

On Site
$0+
Full Time

Skills

Principal Platform Architect
Python
Flask
Aws
Bigdata
Data lake
MLops
GitOps
DevSecOps

Job Details

Hi All ,

Greetings from criticalriver..

Please find the open position for CR Fulltime

Title: Principle Platform Architect

Location: Pleasanton , Onsite, California

Job Type: Full-Time

Experience: Min 10+ years

About the Role

We are seeking a highly experienced and hands-on Platform Architect to lead the design and implementation of our cloud-based platform. As a key technical leader, you will drive architectural decisions, ensure scalability, optimize performance, and be deeply involved in coding and infrastructure design. This role is ideal for someone who thrives in a startup environment, is comfortable wearing multiple hats, and can balance strategic thinking with hands-on execution.

Key Responsibilities

  • Architect and build scalable, resilient, and high-performance cloud-based platforms using cloud AWS, Google Cloud Platform .
  • Lead end-to-end design of cloud infrastructure, API, microservices architecture, and distributed systems.
  • Develop high-quality, production-grade code in Python, ensuring scalability and maintainability.
  • Define and enforce best practices for cloud-native application development, including security, monitoring, and cost optimization.
  • Collaborate with cross-functional teams (engineering, DevOps, product management) to align technology with business goals.
  • Optimize API design and data architecture for performance and reliability.
  • Mentor and guide junior engineers, fostering a culture of technical excellence.
  • Stay updated on emerging cloud technologies, continuously improving architecture and operational efficiency.

Required Qualifications

  • 10+ years of experience in software engineering with a strong background in cloud-based architecture.
  • Proven experience as a Platform Architect, Principal Engineer, or Cloud
  • Architect in a startup or high-growth environment.
  • Expert-level proficiency in Python (Flask, FastAPI, or similar frameworks).
  • Understanding of Azure and Google Cloud Platform Architecture is nice to have.
  • Deep expertise in AWS, including services like EC2, EKS, ECS, S3, RDS, Spark,
  • Trino, Postgresql, Datalake, Bigdata, AM, CloudFormation, or Terraform.
  • Strong knowledge of Kubernetes, Docker, and containerized microservices architectures. Experience with event-driven architectures,
  • Strong skills in Design and implement infrastructure for machine learning model
  • development, training, and deployment. Evaluate and select appropriate machine learning platforms and tools.
  • Optimize AI workloads for performance and scalability.
  • Implement MLOps practices for continuous integration and delivery of machine learning models.
  • Hands-on experience with CI/CD pipelines, GitOps, and DevSecOps best practices.
  • Proficiency in SQL and NoSQL databases with a strong grasp of data modeling and performance tuning.
  • Strong problem-solving skills and ability to make data-driven architectural decisions.
  • Nice to have streaming platforms (Kafka, Kinesis), and message queues. Good understanding on building secure applications and practices.

Preferred Qualifications

  • Experience in machine learning pipelines or data engineering on AWS is a plus.
  • Knowledge of serverless computing (AWS Lambda, API Gateway).
  • Exposure to observability tools like Prometheus, Grafana, Datadog, or New Relic.
  • Prior experience working in fintech, SaaS, or AI-driven platforms.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.