Lead Software Engineer, PowerSchool
$78.1-210.3k
Cloud-based software for K-12 education
Open for applications
Cloud-based software for K-12 education
1001+ employees
Open for applications
$78.1-210.3k
1001+ employees
Company mission
To power the education ecosystem with unified technology that helps educators and students realize their full potential, in their way.
Role
Who you are
- 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. Master’s degree preferred
What the job involves
- This Lead Engineer I position, under the general direction of the Lead and/or Manager, Machine Learning Engineering, will be responsible for technical and development support for our award-winning K-12 software
- This role will help in all AI/generative AI products in the areas of engineering, data, deployment and infrastructure
- 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
Our take
Founded in 1997, PowerSchool is a software provider for K-12 education in North America with a vision to transform education through innovative technology. Whilst the pressures of the education system make it more difficult to individualize teaching styles following student needs, PowerSchool aims to do just that, most recently through its package of cloud tech resources.
PowerSchool’s a veteran of the industry and a testament to its success as an education provider is its acquisition portfolio, made possible through its wealth of successful products. Products created - or absorbed through acquisition - by PowerSchool include a Student Information Cloud for enrolment and document management, a student success cloud including behavioural support and attendance intervention features, as well as personalized learning and analytics products. Its breadth of product scope exemplifies a focus on the holistic approach to education tech.
PowerSchool is a verified unicorn, and despite its age has maintained its position as an industry leader. Recent innovations include the acquisition of budget and finance software company Allovue and the launch of AI educational assistant PowerBuddy.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Many candidates hear
back within 2 weeks
Company
Funding (1 round)
Apr 2000
$31.5m
LATE VC
Total funding: $31.5m
Company benefits
- Medical, vision, and dental insurance with HSA match
- Fantastic work environment
- Tuition reimbursement program
- 401k with matching
- Life insurance
- Discretionary Time Off – (Unlimited Vacation)
- Video game break room with pool and ping pong tables
- Employee referral program
- Free soda, coffee, and tea
- On-site gym at the Folsom headquarters and Roanoke office
- Festive holiday parties and events
Company values
- Passion - We act on what we care about. We don’t give up when we encounter obstacles. We are committed to putting in the work to achieve our vision
- Accountability - We understand that the work we do is mission-critical to the safety and success of millions of people. We take individual and corporate responsibility to do right by our customers and our colleagues
- Curiosity - We are always in pursuit of what is possible. We celebrate success and then we say, “What’s next?” We aren’t afraid to ask the hard questions or start over if necessary. We are always learning
- Teamwork - We know that success is not a solo act. We believe in the value of community and collaboration. Our collective knowledge and creativity gives us the power to reach our goals
Company HQ
Folsom, CA
Articles
Leadership
Hardeep Gulati
(CEO, not founder)Previously the CEO of SumTotal Systems, Vice President of Product Strategy at Oracle Corp and SpinCircuit, Inc. and was the CTO and President of eBizAutomation.
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