Were looking for a Backend Engineer to join our Foundation Group. This team builds and scales microservices in the cloud, working with Python, SQL, and NoSQL databases.
As a Backend Engineer at Placer.ai, youll take ownership of designing, developing, and rolling out services within our POI enginea core component of our platform. Youll face large-scale and high-load challenges, selecting and applying the most suitable tools and technologies to deliver reliable, high-performance solutions.
RESPONSIBILITIES:
Design and develop scalable backend systems to support POI data processing and storage, ensuring high availability and reliability.
Manage and optimize cloud-based infrastructure for handling large data volumes and high traffic, implementing infrastructure as code (IaC) practices.
Develop and maintain efficient data pipelines for the ingestion, processing, and storage of POI data, ensuring data integrity and accuracy.
Implement and maintain CI/CD pipelines to automate testing, deployment, and monitoring, ensuring smooth and rapid release cycles.
Enhance system performance and security, monitoring for bottlenecks and vulnerabilities, and ensuring compliance with data protection regulations.
Collaborate with cross-functional teams including product managers, data scientists, and frontend developers to deliver integrated solutions and participate in code reviews and technical discussions.
Requirements: BSc degree in Computer Science or equivalent
5+ years of experience as a backend engineer
Proficiency in programming languages such as Python, Java, or Go
Experience with cloud platforms (AWS, Azure, or GCP)
Hands-on experience with infrastructure as code (IaC) tools like Terraform or AWS CloudFormation
Experience with database systems (SQL and NoSQL) and data pipeline development
Experience Implementing and maintaining CI/CD pipelines in Jenkins, Argo or similar
Proficiency with Docker and Kubernetes (K8s)
Strong coding skills and a get-things-done approach
ADVANTAGES:
Experience with Kafka, Celery, RabbitMQ, Postgresql and MongoDB
Experience with Django or FastAPI
Knowledge of security best practices and data protection regulations
Developing complex large scale data pipelines
This position is open to all candidates.