Software Engineer, Cloud Engineer - Software, DevOps

Overview

At Power School, we are a dedicated team of innovators guided by our shared purpose of powering personalized education for students around the world. From the central office to the classroom to the home, Power School supports the entire educational ecosystem as the global leader of cloud-based software for K-12 education. Our employees make it all possible, and a career with us means you’re joining a successful team committed to engaging, empowering, and improving the K-12 education experience everywhere.

Overview

At Power School, we are a dedicated team of innovators guided by our shared purpose of powering personalized education for students around the world. From the central office to the classroom to the home, Power School supports the entire educational ecosystem as the global leader of cloud-based software for K-12 education. Our employees make it all possible, and a career with us means you’re joining a successful team committed to engaging, empowering, and improving the K-12 education experience everywhere.

Team Overview

Our Research & Development (R&D) team is the technical talent at the heart of our product suite, overseeing the product development lifecycle from concept to delivery. From engineering to quality assurance to data science, the R&D team ensures our customers seamlessly use our products and can depend on their consistency.

Responsibilities

Description

This is a highly technical, hands-on engineering role focused on platform development, automation, and leveraging AI to migrate and refactor legacy business logic and reporting configurations into a modern cloud architecture.

The ideal candidate enjoys solving complex technical challenges, working with modern cloud-native architectures, and applying AI-driven tooling to accelerate development and modernization.

Your Day-to-day Job Will Consist Of

• Design and build AWS serverless components using services such as Lambda, Step Functions, API Gateway, and related technologies.
• Develop backend services and platform components using Python, Type Script, and SQL.
• Write and optimize SQL queries for reporting and data access workloads; experience with Snowflake or modern cloud data warehouses is beneficial.
• Implement AI-driven solutions to extract business logic from legacy codebases and assist in generating report configuration metadata and parameter interfaces.
• Build systems that support automated logic validation and migration workflows.
• Collaborate with the Lead Engineer and cross-functional teams on architecture design and platform roadmap execution.
• Contribute to code quality, testing, performance tuning, logging, monitoring, and observability practices.
• Participate in design reviews and architecture discussions to continuously improve the platform and development processes.

• Minimum of 3-5+ years of relevant and related work experience.
• Bachelor’s degree or equivalent, or equivalent years of relevant work experience.
• Travel occasionally, up to 5-10%, for key moments such as team summits, training, conferences, etc., with increased frequency during peak periods based on business demands.
• This position is subject to company on call policies which constitutes working hours outside of the normal workday as needed.
• Strong hands-on experience with AWS serverless technologies.
• Proficiency in Python and Type Script for backend and platform development.
• Strong SQL expertise, including complex transformations and data modeling for reporting workloads.
• Experience implementing AI-driven engineering workflows, such as LLM integrations, embeddings, or automated code generation.
• Experience building distributed systems, data-intensive applications, or modernizing legacy platforms.
• Strong analytical and problem-solving skills with the ability to navigate complex business logic and legacy systems.

• Experience with Snowflake or modern cloud data warehouse platforms.
• Familiarity with ETL/ELT frameworks and data pipeline architectures.
• Experience with AI automation tools, code-generation frameworks, or metadata extraction pipelines.
• Strong communication skills and the ability to collaborate effectively…