Job Description

Platform Architect / Principal Engineer (Hands-On) Job Type: Full-Time Experience: 10+ years About the Role We are seeking a highly experienced and hands-on Platform Architect / Principal Engineer 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 AWS. Lead end-to-end design of cloud infrastructure, 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 (Django, Flask, FastAPI, or similar frameworks). Understanding of Azure and GCP Architecture is nice to have. Deep expertise in AWS , including services like EC2, EKS, ECS, S3, RDS, DynamoDB, SQS, SNS, IAM, CloudFormation, or Terraform. Strong knowledge of Kubernetes, Docker, and containerized microservices architectures . Experience with event-driven architectures, streaming platforms (Kafka, Kinesis), and message queues . 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 . 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 .