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At Kinetic, a single, powerful mission unites us: Creating the best Workers’ Comp experience. Our culture is the engine that drives this mission forward—a culture built on togetherness, excellence, accountability, and a deep commitment to our customers.
About Kinetic
Backed by Nationwide, we’re transforming workers’ comp with technology-driven solutions for injury prediction, prevention, and management—helping employers create safer, healthier workplaces. We also work directly with enterprise clients.
Our platform is built for labor intensive industries including parcel delivery, manufacturing, and wholesale/warehousing operations. From wearable tech that reduces strain and sprain injuries by over 60% to a tech-driven program that speeds up return-to-work and generative AI for claims management, we're redefining what workers' comp can do.
We’re a remote-first team headquartered in New York City, growing fast—10x in the past two years—and driven by accountability, continuous improvement, and collaboration. If you're excited to build a career with impact, we’d love to meet you.
Kinetic has been named to: Business Insurance's Best Place to Work in Insurance 2025
The Role
As a Software Engineer on our team, you’ll be a versatile contributor working across a wide range of projects and technologies in service of Kinetic’s mission. You’ll collaborate with cross-functional teams to design, build, and maintain our data ecosystem including ETL pipelines, data lakes, autonomous AI agents, and other LLM-based applications. The role provides broad exposure to data-intensive applications across the company.
We’re looking for someone who enjoys tackling complex, real-world challenges, thrives in a fast-paced environment, and is eager to learn and adapt as technologies evolve. You’ll contribute to everything from core infrastructure to experimental features, helping deliver high-impact solutions that reduce workplace injuries and improve operational outcomes for our customers. A strong engineering foundation, curiosity, and a collaborative mindset are key to success in this role.
Responsibilities:
- Design, develop, and implement robust, scalable, and cloud-native data and AI solutions that directly contribute to Kinetic’s mission.
- Write clean, efficient, well-tested, and maintainable code in a team environment.
- Participate in architecture and code reviews to ensure consistent quality, performance, reliability, and scalability of software systems.
- Implement security, reliability, and observability best practices in software design and development.
- Proactively identify opportunities for improvement in existing systems and processes.
- Troubleshoot and resolve complex technical issues, emphasizing root cause analysis and post-mortem documentation.
- Contribute to projects across the stack—including backend services, internal tools, and AI-powered features—as priorities evolve.
Basic Qualifications:
- Bachelor's degree in Computer Science or a related field and at least 3 years of relevant software engineering experience.
- Back-end development experience in a modern tech stack that includes Python in a cloud environment.
- Experience delivering software from concept through production, including CI/CD, monitoring, and operational support.
- Proven track-record of building and operating large-scale cloud solutions in production while managing technical debt effectively.
- The working language at Kinetic is English.
Preferred Qualifications:
- Experience developing and deploying AI features in production software, especially those leveraging LLMs or agentic AI patterns.
- Experience with AWS, Apache Airflow, and Terraform.
- Strong testing and documentation practices.
- Experience with production security practices in the cloud including building systems that meet enterprise security standards and industry best practices.
- Experience operating in early-stage or high-growth startup environments where pragmatism and speed matter.
- This is a remote position (candidate must be a full time U.S. resident)
- Salary Range: $140,000 - 190,000 per year
- Equity Grant
- Medical, dental, and vision insurance
- 20 vacation days per year
- 9 federal holidays off
- Parental Leave
- Pre-tax 401k contribution
- HSA with compatible health plans
- FREE: Health Advocate
- FREE: Telehealth Membership
- FREE: OneMedical Account
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
