Karat helps technical leaders transform their workforce for the Human+AI era. Trusted by some of the world's largest payment companies, tier 1 banks, and global tech enterprises, Karat evaluates and benchmarks engineering talent rigorously, consistently, and at scale. Our system turns those evaluations into insights that help leaders build a more capable and competitive workforce. Karat interviews combine best-in-class methodologies with live, AI-native scenarios, delivered by experienced Interview Engineers. With intelligence from more than 600,000 technical evaluations, Karat gives leaders a clear view of workforce capability, a competitive benchmark, and confidence that their standards are being met.
Our Software Engineering team is dedicated to building the world’s most predictive, inclusive, and fair interviewing products for our clients and technical candidates alike.
What you will doAs a Senior Software Engineer at Karat, you’ll build full-stack product features that directly improve how engineers are interviewed and how engineering organizations operate. You'll build robust, scalable full-stack solutions while helping to implement AI-enhanced features that transform technical talent assessment. You'll collaborate closely with product and engineering leadership to execute on our vision of more predictive, inclusive, and fair technical interviewing.
- Design and develop sophisticated full-stack systems that power our next-generation interview platform, incorporating AI capabilities where they add the most value.
- Build scalable, production-ready infrastructure and services that maintain high standards of performance, reliability, and security.
- Create intuitive interfaces and APIs that serve interviewers, candidates, and hiring teams effectively.
- Collaborate with cross-functional teams (product managers, designers, data scientists) to translate complex requirements into elegant technical solutions.
- Contribute to architecture decisions that balance innovation with reliability, ensuring our platform evolves while maintaining enterprise-grade stability.
- Serve as a technical leader by sharing expertise across engineering teams, promoting best practices, and elevating the overall technical capability of the organization.
- Balance short-term deliverables with long-term technical health, addressing both customer-facing features and foundational infrastructure.
- 7+ years developing and launching web applications/systems into production environments
- Experience with or exposure to AI/ML technologies and understanding how they can enhance assessment and interviewing products
- Experience integrating LLM APIs, familiarity with knowledge-enhanced language model pipelines, and ability to evaluate and improve AI feature performance
- Strong analytical and problem-solving skills with the ability to balance technical tradeoffs
- Strong proficiency in Ruby, Python, TypeScript/JavaScript, or similar languages with experience in modern web frameworks and REST and GraphQL API design
- Experience with system architecture, database design, cloud infrastructure, and deployment technologies (AWS, GCP, or Azure)
- Knowledge of software engineering best practices including CI/CD, testing strategies, and performance optimization
- Ability to work effectively in cross-functional teams with excellent communication skills; can translate complex technical concepts for diverse stakeholders
- Demonstrated ability to provide technical leadership, including mentoring teammates and driving technical decisions
- Interest in technical interviewing, talent assessment, or educational technology is highly valued
This position is only available to candidates residing in the following U.S. states: FL, IL, MA, MO, OR, TX, and WA. While our team operates 100% remotely, we are currently limiting hiring to these specific locations. Applications from other states will not be considered at this time.
Immigration sponsorship is not available.Compensation Varies by Geographic Location
At Karat, salary ranges for each U.S.-based position are determined by the employee's work location. We structure our compensation into geographic tiers based on market data and regional economic factors.
Please refer to our geographic classification document to view which tier applies to your location. If your area isn't included in our classification system, please connect with your Recruiter for specific details. These geographic classifications may be adjusted periodically.
By applying for a position, you consent to the processing of your personal data in accordance with Karat’s Employee and Contractor Privacy Notice found here.
Statement of InclusivityIn keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at [email protected].
Skills Required
- 7+ years developing and launching web applications or systems in production environments
- Experience with or exposure to AI/ML technologies and their application to assessment and interviewing products
- Experience integrating LLM APIs and familiarity with knowledge-enhanced language model pipelines
- Ability to evaluate and improve AI feature performance
- Strong analytical and problem-solving skills, including balancing technical tradeoffs
- Strong proficiency in Ruby, Python, TypeScript, JavaScript, or similar languages
- Experience with modern web frameworks and REST and GraphQL API design
- Experience with system architecture, database design, cloud infrastructure, and deployment technologies
- Knowledge of CI/CD, testing strategies, performance optimization, and software engineering best practices
- Ability to collaborate cross-functionally and communicate complex technical concepts to diverse stakeholders
- Demonstrated technical leadership, including mentoring teammates and driving technical decisions
- Interest in technical interviewing, talent assessment, or educational technology
- Must reside in Florida, Illinois, Massachusetts, Missouri, Oregon, Texas, or Washington
What We Do
The status quo for technical interviewing doesn’t meet the needs of candidates or hiring companies. Haphazard interview experiences, subjective evaluations, and lack of capacity and expertise mean too many companies miss their hiring goals and miss out on great software engineers. At Karat, it's our mission to create better outcomes for companies and candidates by making every interview predictive, fair, and enjoyable. Karat conducts first-round technical interviews on behalf of companies including Indeed, Atlassian, Intuit, Peloton, The New York Times and Wayfair. We do this through a community of Interview Engineers who are equipped with Karat's interviewing platform, battle-tested questions, and data-informed best practices. The result is highly predictive and fair interviews at scale that candidates truly enjoy. Karat has amassed the largest and most robust dataset of structured interview intelligence to produce never-before-seen hiring analytics. As the world continues to transition to virtual work, and the fairness of hiring practices in the tech industry come under greater scrutiny, Karat is uniquely positioned to be a valuable, strategic partner as companies transition to 100% remote hiring.
Why Work With Us
Karat is dedicated to unlocking life changing opportunities to create fairness and equity through technology. Our human centered approach to redefining the technical interview has created an incredible mission driven culture.
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