What we are looking for in the Head of Engineering :
We are looking for an exceptional person and technical leader to join the executive team of our rapidly growing Series C InsureTech business in one of our most important leadership positions.
The right candidate will be a world-class leader with distinctive experience in inspiring people leadership, building scalable global processes, and providing technical leadership to a data-driven cyber analytics platform that is changing the future of insurance.
Company Background :
CyberCube is a 120+-person Series C startup (>
$100MM funds raised) that delivers the most comprehensive cyber insurance analytics platform for the insurance industry.
We focus solely on solving the most complex cyber risk challenges with world-class analytics. Our team comprises multi-disciplinary experts across data science, cybersecurity, software engineering, modeling, and commercial insurance.
CyberCube offers products for cyber risk aggregation modeling and insurance underwriting. CyberCube leverages world class threat intelligence from several data sources as well as .
CyberCube is headquartered in San Francisco, California. We are backed by ForgePoint Capital (the world's largest venture capital fund dedicated to cybersecurity early-stage investing), Symantec Ventures, and premier insurtech investors including HSCM, M-Tech, and individuals from StonePoint Capital.
Engineering background :
CyberCube has grown in the last 6 years from a team of 4 engineers to over 40 engineers split between the San Francisco Bay Area and Tallinn, Estonia.
We have 3 product teams, and 3 platform teams(including SRE, Data Engineering, and Platform services) spread across the US and Estonia.
Our SaaS platform is 100% cloud-native utilizing a broad cross-section of AWS services.
We are a platform of SaaS products to our global insurance industry clients with direct API integrations into the environments of our clients and other third parties.
With this, our teams have been migrating from a monolithic architecture to standardized microservices that can be used across multiple product use cases.
LOCATION :
Open to locations throughout the US. Being based in our San Francisco office is nice to have.
People Leadership :Technical Leadership :
- Must have :
- Extensive native public cloud engineering experience (AWS is a plus but gCloud and MSFT clouds work as well)
- Experience in compute- and data-heavy platform building (petabyte-scale data and building complex multi-source data lakes)
- Experience developing sophisticated B2B SaaS applications
- Experience establishing, communicating, and implementing engineering and development policies, practices, standards, and security measures to ensure effective and consistent operations
- Nice to have :
- Business / P&L / general management / product management experience
- Insurtech / Fintech experience
- Familiarity with the core technologies used by CyberCube today (see below)
- Experience working with demanding B2B development partner clients on technology integrations and establishing relationships as a long-term trusted partner
- Experience architecting and building proprietary data collection infrastructure
- Experience working in a data analytics intensive company
- Cybersecurity experience a plus
Ability to build scalable processes :
- Must have :
- Experience creating scalable processes of growing organization
- Experience with setting up and overseeing core elements of a high performing engineering organization including design, development, automation, builds, deployment
- Demonstrated track record of performance management, including measuring quality and create realistic timelines; planning process;
continuous grooming and deployment
- Nice to have :
- Experience leading a growth stage company (Series C+, growth equity or PE-backed companies)
Background of our technology requirements
- Technical leadership and architecture experience in software development with a variety of languages (Java, Python, Node.js , JavaScript)
- Deep insight into Cloud - IAAS and PAAS (AWS, Azure, GCP).
- 6-8+ years' experience designing and delivering large scale distributed systems (with at least 3-4 years on cloud services)
- Solid understanding of security / access control, scalability, and high availability
- Prior experience with database technologies (MongoDB, MYSQL, ES, SOLR, Cassandra)
- Prior experience with agile development, continuous delivery, and DevOps
- Experience with large-scale, big data methods and data-driven architectures
- 3+ years of software architecture implementing modern cloud microservices architectures
- 3+ years of Continuous Integration >
Continuous Delivery >
Release on Demand
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