About This Role
This engineering role focuses on leading the overall architecture and design of systems that power the company's policy platform. It involves innovating and building new systems, enhancing existing ones, and identifying opportunities to solve critical problems. The position requires a deep technical breadth, from distributed systems and cloud-native architectures to data pipelines and service mesh patterns, working with top-tier engineering teams to empower them and delight customers.
Responsibilities
- Provide technical leadership to multiple areas and to the enterprise
- Collaborate across teams and the tech organization to solve tough problems
- Deliver high-scale and high-quality data architecture, especially legacy-to-modern platform transitions
- Deliver high-quality services and software for a variety of domains
- Accountable for the quality, usability, and performance of the solutions
- Utilize expertise in designing and developing APIs and microservices using GraphQL, gRPC, Java, Python, Kafka, with a deep understanding of API driven system migration
- Utilize programming languages like Java, C#, or other object-oriented languages, SQL, and NoSQL databases
- Deploy applications in a hybrid cloud environment utilizing Kubernetes, various data stores, and a variety of cloud native tools and services
- Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of the engineering and product community
- Influence and educate executives
Requirements
- Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap
- Experience leading and building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
- Deep knowledge of ETL, SQL, bitemporal data modeling, and temporal databases
- Strong understanding of data observability, traceability, and multi-faceted testing
- Proven expertise in designing and developing microservices using GraphQL, gRPC, Java, Python, Kafka, with a deep understanding of both API and event-driven architectures
- Proven experience designing and delivering highly resilient event-driven and messaging-based solutions at scale with minimal latency
- Deep hands-on experience in building complex SAAS systems in large scale business focused systems, with great knowledge on Docker and Kubernetes
- Fluency and specialization with Java and at least one other modern language such as C#, C++, or Python including object-oriented design
- Extensive experience in leading and building full-stack application and service development, with a strong focus on SAAS products / platforms
- Ability to excel in a fast-paced, startup-like environment