PowerSchool · 11 hours ago
Lead Software Engineer I
United States
Full-time
Remote
Senior Level
$78K/yr - $210K/yr
5+ years exp
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Responsibilities
Design and implement Machine Learning models and data ingestion pipelines
Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models
Expand and optimize data pipelines, data flow, and collection for cross functional teams
Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements
Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability
Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources
Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs
Deploy ML models in AWS environment specifically in AWS Sage Maker environment
Implement Model Monitoring, Data Quality Checks, Data Drifts in Inference Pipelines
Support ML teams in the delivery of continuous integration, continuous deployment, providing templates and patterns
Perform root cause analysis for production issues where the root cause is in infrastructure, environment, configuration, or deployment routines; understand when to escalate to product development teams; remediate root causes and implement preventative actions
Own the AWS stack which comprises all ML resources and collaborate on managing ML infrastructure costs
Establish standards and practices around MLOps, including governance, compliance, and data security
Uses Generative AI models, other LLMs, Agents, RAG and LangChains to build different smart solutions
Uses customer management system to provide status on open customer issues and properly verifies when an issue can be closed
Participate in afterhours maintenance, when necessary, respond to emergencies, participate in customer calls when called upon in support of initiatives and incident response
Qualification
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Required
5+ years of experience within the full software development lifecycle from planning through deployment and maintenance
Demonstrated ability to design, implement, and scale machine learning workflows (ML OPs); including deployment and delivery of production-ready model APIs
Demonstrated proficiency with version control systems and automated software testing and delivery
Proficiency with at least one machine learning lifecycle platform (Sagemaker, MLFlow, TensorFlow, etc.), orchestration platform (Airflow, Dagster, etc.) and data platform like SnowFlake/DataBricks
5+ years of experience with ML infrastructure and ML DevOps
5+ years of overall engineering experience in distributed systems and data infrastructure
3+ years’ experience coding in Python (preferred) or other languages like Java, C#, etc.
Experience working with ML engineers to build tooling and automation to support the entire ML engineering lifecycle, from experimentation to production operations
Experience with Kubernetes and ML CI/CD workflows
3+ years of experience with AWS or other public cloud platforms (GCP, Azure, etc.)
Excellent verbal and written communication skills.
Experience with Infrastructure-as-Code tools and frameworks
Bachelor's degree in computer science, data science, mathematics, or a related field.
Preferred
Master’s degree preferred
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)
Paid Community and Volunteer Time Off (VTO)
Wellness Program, including ClassPass& Employee Assistance Program
Tuition Reimbursement
Optional Benefits: Pet Insurance, Identity Theft Protection, Student Debt Repayment Program and Prepaid Legal coverage
Company
PowerSchool
PowerSchool (NYSE: PWSC) is the leading provider of cloud-based software for K-12 education in North America.
1,001-5,000 employees
H1B Sponsorship
PowerSchool has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (10)
2022 (18)
2021 (30)
2020 (2)
Funding
Current Stage
Late StageLeadership Team
Hardeep Gulati
Chief Executive Officer
Rajendra (Rajen) Datta
Chief of Staff to CEO
Company data provided by crunchbase
