Software Engineer

PowerSchool Group LLC • Dallas, TX

34d

About The Position

At PowerSchool, 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, PowerSchool 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.
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:

Requirements

• 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 TypeScript 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.

Nice To Haves

• 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 within cross-functional engineering teams.

Responsibilities

• 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, TypeScript, 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.

Benefits

• Comprehensive Insurance Coverage (including Medical, Dental, Vision, Pharmacy benefits, Life Insurance and AD&D)
• Flexible Spending Accounts and Health Savings Accounts
• Short-Term Disability and Long-Term Disability
• Comprehensive 401(k) plan
• Generous Parental Leave
• Unrestricted paid time off (known as Discretionary Time Off - DTO)
• Wellness Program, including ClassPass & Employee Assistance Program
• Tuition Reimbursement
• Optional Benefits: Pet Insurance, Identity Theft Protection, Student Debt Repayment Program and Prepaid Legal coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level