1 month ago
Bengaluru, IndiaEntry Level
Responsibilities
- Build and maintain production software supporting customer deployments.
- Partner with senior engineers to design, deploy, and iterate on customer-facing solutions.
- Develop full-stack applications and scalable production systems.
- Translate customer requirements into reliable, maintainable software.
- Improve system reliability, performance, and maintainability.
- Collaborate with Engineering, Research, Product, and Operations teams across India and the US.
Requirements
- At least 3 years of professional software engineering experience.
- Strong programming skills in TypeScript, React, Python, Golang, and modern backend development.
- Solid understanding of relational databases, APIs, and software engineering fundamentals.
- Experience building and maintaining production software.
- Familiarity with AWS or GCP.
- Strong problem-solving, collaboration, communication, and adaptability skills in fast-moving environments.
- Strong proficiency in AI coding tools and practices.
- Preferred: experience with globally distributed teams, customer-facing products or implementation projects, AI-powered applications or machine learning infrastructure, Docker, Kubernetes, CI/CD pipelines, or high-growth engineering organizations.
Benefits
- In-office role located in Bengaluru, India.
- Generous equity grant vesting over four years.
- Housing bonus during the first year.
- Performance bonus opportunity.
- Medical insurance coverage.
- Food credit for each in-person workday.
Categories
Forward Deployed
About Handshake
Handshake builds a career network and recruiting platform that connects college students and recent grads with employers, sold as SaaS to universities and subscriptions/solutions to employers. Founded in 2014 and headquartered in San Francisco, it serves 1,600+ educational institutions and over 1 million employers. The company also operates Handshake AI, which partners with frontier AI labs on human data collection and evaluations for model training and post-training workflows.