ResponsibilitiesDescription- Key Responsibilities
- Design and build AWS serverless components using Lambda, Step Functions, API Gateway
and related services. - Develop backend services and components using Python, TypeScript, and SQL.
- Write and optimize SQL for data access and reporting workloads; Snowflake experience is a
plus. - Implement AI-driven solutions to extract business logic from legacy code, generate new
report parameter screens and metadata, and perform logic validation. - Collaborate with the Lead Engineer and cross-functional teams on architecture and
roadmap execution. - Contribute to code quality, testing, performance tuning, logging, monitoring, and
observability. - Participate in design reviews and provide technical input to continuously improve the
platform. - Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of state-of-the-art GenAI solutions.
- Leverage modern orchestration frameworks (LangChain, LangGraph, MCP, semantic routers) to coordinate multi-step, tool-augmented workflows.
QualificationsMinimum Qualifications- Minimum of 5+ years of relevant and related work experience.
- Bachelor's degree or equivalent, or equivalent years of relevant work experience.
- Strong hands-on experience with AWS serverless technologies.
- Proficiency in Python and TypeScript for backend development.
- Strong SQL foundation; comfort with complex transformations.
- Demonstrated AI engineering experience, such as LLM integration, embeddings, or AI-
driven code workflows. - Experience building distributed systems, data-intensive applications, or modernizing legacy
systems. - Strong problem-solving ability and willingness to dive deep into complex logic.
- Snowflake or modern cloud data warehouse experience.
- Familiarity with ETL/ELT frameworks.
- Experience with AI automation tools, code-gen frameworks, or metadata extraction
pipelines. - Strong communication and collaborative engineering habits.
- Some basic understanding and experience of Data Science Algorithms
Compensation & BenefitsCompensation & BenefitsPowerSchool offers the following 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
A reasonable estimate of the base compensation range for this position is $79,700 - $136,800 USD. This compensation range is specific to the United States and it incorporates many factors including but not limited to an applicant's skills and prior relevant experience and training; licensures, degrees, and certifications; internal equity; internal pay ranges; and market data/range parameters.
