Senior Software Engineering Jobs at Kiddom with Visa Sponsorship
Kiddom builds curriculum and learning management tools for K-12 schools, and Senior Software Engineers here work on platform infrastructure, product features, and data systems that serve classrooms across the country. Kiddom has an established track record of sponsoring work visas for engineering talent, including H-1B and permanent residence pathways.
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About Kiddom
Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. We’re looking for a Senior Full Stack Engineer to join our AI Experience Pod - the team responsible for Kiddom’s flagship AI-powered experience. AI Experience leverages AI to build technology enabling all teachers and learners to unlock their full potential. This role focuses on building intuitive, performant, and AI-enhanced interfaces that create a delightful AI Experience for educators and students. You’ll work within a small, agile team of 3–4 engineers, collaborating closely with product, design, and data partners. This role is ideal for someone who is deeply AI-native - an engineer who uses AI tools daily to accelerate development, improve code quality, and meaningfully integrate AI into user-facing experiences. You should thrive in ambiguity, enjoy complex technical challenges, and be motivated by building transformative, AI-first products for educators and students.
What You'll Do...
- Build end-to-end solutions from React/TypeScript frontends to GoLang and Python backend services (being highly experienced in one of these can be sufficient)
- Develop, maintain, and optimize AI/LLM-powered features that personalize learning at scale
- Rapidly prototype new AI-driven capabilities and iterate based on user feedback and data
- Work with large datasets to analyze model performance, identify issues, and guide improvements
- Turn complex product concepts into robust, reliable AI-enhanced user experiences
- Collaborate closely with product, design, data science, and ML engineering partners
- Contribute to architectural decisions, tooling enhancements, and best practices across the stack
- Leverage AI tools to improve engineering velocity, code quality, and experimentation workflows
What We're Looking For...
- 5–7+ years of professional software development experience
- A full-stack mindset with willingness to work across frontend, backend, AI integration layers, and supporting infrastructure
- Strong ability to reason about AI system behavior, model limitations, and best practices for safe, reliable integration
- Experience working with data pipelines, experiment evaluation, or model performance analysis
- A collaborative, product-minded engineer who enjoys working directly with design and PM partners
- Someone who embraces fast iteration, incomplete information, and continuous learning
- An AI-native engineer who knows how to select, use, and apply AI tools effectively in both development and product experiences
Bonus...
- Experience integrating LLMs or ML systems into production applications
- Familiarity with vector databases, embeddings, or retrieval-augmented generation
- CI/CD experience (GitHub Actions or similar)
- Familiarity with the AWS ecosystem (Lambda, ECS, RDS, k8s, containerized applications)
Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.
What we offer
Full time permanent employees are eligible for the following benefits from their first day of employment:
- Competitive salary
- Meaningful equity
- Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
- One Medical membership (in participating locations)
- Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
- 10 paid sick days per year (pro rated depending on start date)
- Paid holidays
- Paid bereavement leave
- Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
- Commuter and FSA plans
Equal Employment Opportunity Policy
Kiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.

About Kiddom
Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. We’re looking for a Senior Full Stack Engineer to join our AI Experience Pod - the team responsible for Kiddom’s flagship AI-powered experience. AI Experience leverages AI to build technology enabling all teachers and learners to unlock their full potential. This role focuses on building intuitive, performant, and AI-enhanced interfaces that create a delightful AI Experience for educators and students. You’ll work within a small, agile team of 3–4 engineers, collaborating closely with product, design, and data partners. This role is ideal for someone who is deeply AI-native - an engineer who uses AI tools daily to accelerate development, improve code quality, and meaningfully integrate AI into user-facing experiences. You should thrive in ambiguity, enjoy complex technical challenges, and be motivated by building transformative, AI-first products for educators and students.
What You'll Do...
- Build end-to-end solutions from React/TypeScript frontends to GoLang and Python backend services (being highly experienced in one of these can be sufficient)
- Develop, maintain, and optimize AI/LLM-powered features that personalize learning at scale
- Rapidly prototype new AI-driven capabilities and iterate based on user feedback and data
- Work with large datasets to analyze model performance, identify issues, and guide improvements
- Turn complex product concepts into robust, reliable AI-enhanced user experiences
- Collaborate closely with product, design, data science, and ML engineering partners
- Contribute to architectural decisions, tooling enhancements, and best practices across the stack
- Leverage AI tools to improve engineering velocity, code quality, and experimentation workflows
What We're Looking For...
- 5–7+ years of professional software development experience
- A full-stack mindset with willingness to work across frontend, backend, AI integration layers, and supporting infrastructure
- Strong ability to reason about AI system behavior, model limitations, and best practices for safe, reliable integration
- Experience working with data pipelines, experiment evaluation, or model performance analysis
- A collaborative, product-minded engineer who enjoys working directly with design and PM partners
- Someone who embraces fast iteration, incomplete information, and continuous learning
- An AI-native engineer who knows how to select, use, and apply AI tools effectively in both development and product experiences
Bonus...
- Experience integrating LLMs or ML systems into production applications
- Familiarity with vector databases, embeddings, or retrieval-augmented generation
- CI/CD experience (GitHub Actions or similar)
- Familiarity with the AWS ecosystem (Lambda, ECS, RDS, k8s, containerized applications)
Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.
What we offer
Full time permanent employees are eligible for the following benefits from their first day of employment:
- Competitive salary
- Meaningful equity
- Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
- One Medical membership (in participating locations)
- Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
- 10 paid sick days per year (pro rated depending on start date)
- Paid holidays
- Paid bereavement leave
- Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
- Commuter and FSA plans
Equal Employment Opportunity Policy
Kiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.
See all 30+ Senior Software Engineering at Kiddom jobs
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Get Access To All JobsTips for Finding Senior Software Engineering Jobs at Kiddom Jobs
Frame your portfolio around EdTech product challenges
Kiddom's engineering work centers on scalable learning platforms and school data systems. Highlight projects involving multi-tenant SaaS architecture, real-time data pipelines, or API integrations that mirror the infrastructure challenges K-12 platforms face.
Confirm sponsorship scope before your first interview
Kiddom sponsors H-1B transfers and new cap-subject petitions, but sponsorship decisions are often role-specific. Ask your recruiter directly whether the open Senior Software Engineering position is approved for new H-1B filings or transfers only.
Search verified sponsoring employers on Migrate Mate
Filter by visa type and industry to find Senior Software Engineering openings at education technology companies that actively sponsor. Migrate Mate surfaces roles from employers with confirmed sponsorship history, saving you time screening postings that won't lead anywhere.
Understand how PERM affects your long-term timeline
Kiddom has filed EB-2 and EB-3 petitions for engineers, meaning a Green Card pathway may be available. PERM labor certification with DOL typically takes 12 to 18 months before the I-140 petition stage, so initiate that conversation during offer negotiations, not after you've started.
Demonstrate senior-level ownership in technical interviews
Kiddom's Senior Software Engineering bar involves system design and cross-functional collaboration, not just coding rounds. Prepare to discuss architectural decisions you've owned end-to-end, especially in domains like authentication, data privacy, or platform reliability relevant to school-facing products.
Senior Software Engineering at Kiddom jobs are hiring across the US. Find yours.
Find Senior Software Engineering at Kiddom JobsFrequently Asked Questions
Does Kiddom sponsor H-1B visas for Senior Software Engineers?
Yes, Kiddom sponsors H-1B visas for Senior Software Engineering roles. This includes both cap-subject petitions filed during the annual H-1B lottery and H-1B transfers for candidates already holding valid H-1B status with another employer. Confirming which filing type applies to your specific role is worth raising directly with the recruiting team during the offer stage.
How do I apply for Senior Software Engineering jobs at Kiddom?
Applications for Senior Software Engineering roles at Kiddom go through their careers page, where you can filter open positions by team or function. You can also browse verified Senior Software Engineering openings at Kiddom and similar EdTech employers on Migrate Mate, which shows confirmed visa sponsorship details alongside each listing so you know what to expect before applying.
Which visa types does Kiddom commonly use for Senior Software Engineers?
Kiddom has sponsored H-1B visas for cap-subject cases and transfers, supported F-1 OPT extensions for recent graduates, and pursued employment-based Green Card pathways through EB-2 and EB-3 PERM labor certification for engineers in longer-term roles. TN status is also an option for Canadian and Mexican nationals in qualifying software engineering positions.
What qualifications does Kiddom expect for Senior Software Engineering roles?
Kiddom typically looks for several years of professional software engineering experience, with particular depth in backend systems, distributed architecture, or full-stack product development. Familiarity with education technology platforms, school data standards like Clever or Rostering APIs, or experience building multi-tenant SaaS products tends to strengthen applications for senior-level roles on their engineering team.
How do I plan my visa timeline when accepting an offer from Kiddom?
Timeline depends on your current status. H-1B transfers can start as soon as USCIS receives the petition, with no need to wait for approval. Cap-subject H-1B petitions require lottery selection in April with an October 1 start date, so plan for a six-month gap. F-1 OPT candidates should ensure their EAD is active before any start date Kiddom proposes.
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