we are redefining cyber risk for SMBs with a cutting-edge Security SaaS product. Were looking for a Software Engineer to join our growing team and help us scale to the next level.

This is a hands-on role where youll collaborate with product managers, data teams, architects, and fellow engineers to deliver innovative, high-impact solutions in a modern, cloud-native environment.

Responsibilities
Design and implement robust, high-throughput event-driven services and complex features in a cloud-based, microservices environment.
Own features end-to-end, from architectural design and estimation through deployment and continuous improvement.
Collaborate closely with cross-functional teams (Product, Data, Core Architecture) to ship high-quality solutions quickly.
Partner with the Product team to convert ambiguous requirements into concrete, well-defined technical specifications.
Maintain high standards of code quality, proactively troubleshoot issues, and ensure smooth operation of new and existing systems.
Provide technical leadership and mentorship, driving code quality standards and contributing to the teams roadmap.
Implement advanced monitoring, distributed tracing, and alerting for system health and incident response.

Were seeking an experienced and skilled Data and AI Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.