At-Bay
About At-Bay
We are an insurance company built by cybersecurity experts, leveraging our technology and security expertise to better understand digital risks and, thus, build better insurance products and services. We help clients by providing insurance products, guidance on their security issues, and active risk management. Like software, digital risk is eating the world and we aim to empower businesses to thrive in this ever-changing landscape.
We are distributed globally with hubs in San Francisco, New York City, Atlanta, and Tel Aviv.
We have aggressive plans to scale our business and believe the best way to make that happen is to immediately invest in further developing our teams.
About the role
We're looking for a strong Software Engineer whose core strength is writing excellent, production-grade code. You will play a crucial role in building, maintaining, and monitoring our high-scale live Python microservices in production. You will also collaborate closely with our data scientists, helping them ship code that's readable, maintainable, and built to last.
Responsibilities
- Design, build, and maintain high-scale Python microservices and their infrastructure.
- Deploy robust code to production and take full ownership of maintaining live services at high scale.
- Integrate complex logic into our production systems, working closely with the engineering, devops, and data science teams.
- Own the data infrastructure and tooling our systems rely on, and shape unstructured data into a form ready for analysis.
- Help data scientists write readable, maintainable code, and raise software engineering standards across the team.
Qualifications
- 5+ years of experience as a software engineer.
- Extensive hands-on experience developing Python microservices.
- Proven track record of deploying to production and maintaining live services at high scale.
- Strong software-engineering fundamentals: OOP, design patterns, SOLID, clean code, and architecture.
- Bachelor's degree or higher in Computer Science or another STEM field.
- Experience with AWS (concretely EKS).
- Driven and result-oriented.
- A solid track record of execution, with strong attention to detail.
Nice to have
- Previous hands-on experience in the ML domain or a solid grasp of core ML concepts.
- Experience building services and tools that track the ML lifecycle and optimize ML workloads.
- Experience integrating MLOps tooling experiment trackers, data versioning, and practices such as CI/CD/CT.
- Working knowledge of data cleaning and wrangling, and the right tools for the job.
- Ops experience with AWS and Kubernetes.
Location: Tel Aviv, Israel
