Honeycomb

Honeycomb Insurance At Honeycomb, we're not just building technology; we’re reshaping the future of insurance. In 2025, Honeycomb was recognized by Dun & Bradstreet as “Top 10 Best Start Up Companies to Work For” in Israel, named by LinkedIn as “Top 10 Startups in Chicago”, and Newsweek’s "Greatest Startup Workplaces in America, 2025". Through the first half of 2026 we’ve been recognized on Inc. Magazine’s "Best Workplaces" List and Forbes "Fintech 50". How did we earn these honors? Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&D center), and with 6 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another. With over $100B in insured assets, Honeycomb operates across 23 states, covering more than 65% of the U.S. population and increasing its coverage. If you’re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you’ve been looking for. • About The Role We are looking for a Senior Data Science Researcher to join Honeycomb's AI team, the team behind underwriting decisions, quote-time risk scoring, and portfolio analytics. In this role, you will own entire research directions: framing the problem, deciding what's worth measuring, designing the approach from first principles, and turning the result into production signal. The work is production-oriented applied research on hard, real-world datasets where standard recipes don't apply and the right method often has to be invented for the problem. What You'll Do - Own open-ended research directions end-to-end - from a vague business question to a deployed, validated signal. - Work across the team's core research areas — risk modeling, environmental and catastrophe modeling, and behavioral modeling - translating complex real-world processes into reliable predictive signal. - Deeply investigate existing production models - understand what they actually learn, where they break, and where the headroom is; identify and ship optimizations grounded in that understanding. - Design approaches from first principles when off-the-shelf methods don't fit the data. - Build rigorous evaluations and own the result in production, not just the notebook. - Document research clearly so findings are reproducible, auditable, and compound over time. Requirements - MSc. or PhD in Statistics, Applied Math, Physics, or a closely related quantitative field. - Real research experience - a track record of driving original investigations end-to-end (academic research, a research-heavy PhD, industry R&D, or equivalent), not only applied ML delivery. - Strong mathematical or statistical problem-solving instincts - able to model a messy real-world system from scratch, not just apply a library. - Production deployment experience: monitoring, CI/CD, data validation, reproducibility. - Ability to independently initiate, plan, and drive entire research directions. - Team player, positive, driven, independent, fast learner. Advantages - Depth in classical statistics, causal inference, or applied probability. - Deep learning experience. - Clean coding and repository-maintenance habits.

Honeycomb Insurance At Honeycomb, we're not just building technology; we’re reshaping the future of insurance. In 2025, Honeycomb was recognized by Dun & Bradstreet as “Top 10 Best Start Up Companies to Work For” in Israel, named by LinkedIn as “Top 10 Startups in Chicago”, and Newsweek’s "Greatest Startup Workplaces in America, 2025". Through the first half of 2026 we’ve been recognized on Inc. Magazine’s "Best Workplaces" List and Forbes "Fintech 50". How did we earn these honors? Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&D center), and with 6 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another. With over $100B in insured assets, Honeycomb operates across 23 states, covering more than 65% of the U.S. population and increasing its coverage. If you’re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you’ve been looking for. About the Role We are looking for a hands-on DevSecOps Engineer to strengthen the security of Honeycomb's cloud-native environment, working closely with our Security, Engineering, DevOps, and AI teams. The role centers on Google Cloud Platform (GCP), Kubernetes, vulnerability management, container and CI/CD security, cloud security posture, and AI security. You will identify and remediate security risks across our infrastructure, applications, pipelines, and AI environments, while building automation and controls that let our teams move quickly and securely. Responsibilities ● Identify, prioritize, and drive remediation of security vulnerabilities (CVEs) across container images, application dependencies, Kubernetes workloads, and GCP infrastructure, in partnership with Engineering, DevOps, and AI teams. ● Secure our GCP and Kubernetes environments: IAM, networking, logging, cluster and workload hardening, RBAC, secrets, and network policies. ● Own container security practices, including image scanning, base image management, secrets management, and runtime security. ● Operate SAST, SCA, and CSPM tools to surface code, dependency, and cloud misconfiguration risks, and help teams remediate findings. ● Partner with the AI team to secure AI applications, models, agents, APIs, and development environments, including access controls, data protection, and monitoring of both internal and third- party AI tools. ● Implement automated security gates and policy enforcement throughout CI/CD pipelines and the SDLC, without slowing development. ● Establish and improve vulnerability management processes: risk-based prioritization, remediation SLAs, exception management, and reporting. ● Automate security and operational tasks with Bash, Python, or similar. ● Support security monitoring and incident response across cloud infrastructure, applications, and AI workloads. ● Promote DevSecOps best practices and help build a security-first engineering culture. Requirements ● Proven experience as a DevSecOps Engineer, or DevOps Engineer with a strong security focus. ● Hands-on experience with GCP security and running Kubernetes in production. ● Hands-on experience managing CVEs, vulnerability remediation, patching, and risk-based prioritization. ● Strong Linux skills, including hardening, troubleshooting, networking, and logs. ● Experience with container security and CI/CD security, including integrating scanning and controls into pipelines. ● Experience with SAST/SCA tools (e.g., Semgrep, Snyk, SonarQube) and CSPM platforms (e.g., Wiz, Prisma Cloud, CrowdStrike Falcon Cloud Security). ● Solid scripting in Bash and/or Python. ● Ability to work hands-on with engineering and AI/ML teams to investigate and remediate security issues. ● Fluent English, written and verbal. Advantages ● Experience securing GKE at scale, including Google Cloud IAM, Workload Identity, and VPC networking. ● Infrastructure as Code and GitOps tools such as Terraform, Helm, or ArgoCD. ● Software supply-chain security (SBOM, dependency management) and Kubernetes policy tools (admission controllers, Pod Security Standards, policy-as-code). ● Familiarity with CIS Benchmarks, OWASP, NIST, or ISO 27001. ● Experience with SIEM, cloud detection, and incident response. ● Background in fintech, insurance, or other regulated environments.

Honeycomb Insurance At Honeycomb, we're not just building technology; we’re reshaping the future of insurance. In 2025, Honeycomb was recognized by Dun & Bradstreet as “Top 10 Best Start Up Companies to Work For” in Israel, named by LinkedIn as “Top 10 Startups in Chicago”, and Newsweek’s "Greatest Startup Workplaces in America, 2025". Through the first half of 2026 we’ve been recognized on Inc. Magazine’s "Best Workplaces" List and Forbes "Fintech 50". How did we earn these honors? Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&D center), and with 6 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another. With over $100B in insured assets, Honeycomb operates across 23 states, covering more than 65% of the U.S. population and increasing its coverage. If you’re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you’ve been looking for. What You’ll Do This is a highly autonomous role. You'll work independently, taking full ownership of complex, end-to-end initiatives from initial scoping all the way to production. You'll build and evolve the backend services that power Honeycomb's data platform, enabling reliable, scalable, and efficient data processing across the organization. • Take ownership of complex services and features, working independently to deliver high-quality solutions and use AI coding tools (Claude Code, Copilot, etc.) as a natural accelerant in your daily workflow • Play a key role in refactoring systems to build more robust, scalable, and streamlined services, including deep infrastructure work and modern service architecture leveraging AI-assisted analysis and code generation where it adds real value • Design and build core micro-services, laying the foundation for our product and internal platforms • Collaborate with product managers, architects, and other developers to understand requirements and translate them into technical specifications • Stay current with the rapidly evolving AI tooling landscape proactively evaluating new models, prompting strategies, and AI-assisted workflows that can meaningfully improve how the team builds Basic Requirements • 5+ years (senior level) working with Node.js or Java • 3+ years working with MongoDB • 1+ years of experience with the NestJS framework • Experience working with microservices architecture • B.Sc in Computer Science / Software Engineering or equivalent field • Independent but knows how to be professionally dominant in a team • Demonstrated fluency with AI coding tools (e.g., Claude Code, GitHub Copilot,) as a genuine accelerant in day-to-day engineering not just occasional use Nice to Have • Working with Kubernetes and Docker deployment • Experience with Firebase Services like Functions, Storage and Authentication