Senior Software Engineer - Ingestion

<div class="content-intro"><p>Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.</p> <p class="p1">The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.<span class="Apple-converted-space"> </span></p></div><p><strong>The Role</strong><br>Detecting attackers in real-time requires a high-performance technology stack that enables machine learning and statistical techniques. This requires the management of considerable volumes of data. We are looking for an innovative and resourceful Software Engineer to join our growing team. Our data science and analytical capabilities rely on fast and efficient data flow. Working with our existing Data Engineering and Data Science teams, you will assist in optimising these flows as well as building out new data pipelines to support our growing product portfolio.</p> <p><strong>At a Glance</strong><br>As a Senior Software Engineer, you will create, test and maintain large scale distributed systems and tools. </p> <ul> <li>Design, build, and operate large-scale, distributed ingestion services that collect and process terabytes of data daily across multiple regions, data sources and multiple tenants</li> <li>Develop and maintain a scalable offering for cloud and SaaS connectors, integrating with platforms such as Azure, Entra ID, Microsoft 365, AWS, GCP, and OCI</li> <li>Architect and evolve event-driven systems using Python, Kubernetes, serverless technologies (e.g., Lambda), and infrastructure as code (Terraform)</li> <li>Ensure high availability, fault tolerance, and horizontal scalability of ingestion pipelines in multi-region cloud environments</li> <li>Optimize throughput, reliability, and cost efficiency of data ingestion workloads at scale</li> <li>Define and enforce best practices around observability, resiliency, and operational excellence for mission-critical services</li> <li>Troubleshoot complex, distributed-system issues in production and drive root-cause analysis through to durable solutions</li> <li>Collaborate with Product, Security Research, Data Science, and Platform teams to enable secure, real-time cloud visibility for customers</li> <li>Contribute to architectural decisions and mentor other engineers in building robust, scalable distributed systems</li> <li>Get things done, learn new things, take initiative and challenge existing assumptions and conventions</li> </ul> <p>What Will Impress Us</p> <ul> <li>6+ years in software development or equivalent experience</li> <li>Strong communication collaboration skills</li> <li>Solid programming knowledge in Python</li> <li>Experience with infrastructure as code (Terraform), automated testing, and CI/CD</li> <li>Experience with log/metadata ingestion from cloud providers</li> <li>Experience building and deploying distributed services to any cloud provider (e.g. AWS, Azure, GCP)</li> <li>Production experience with various distributed processing technologies (e.g. Kubernetes, Kafka, NATS, etc.)</li> <li>Knowledge of tools like Git/Jira</li> <li>Knowledge of software design principles and leading software development practices</li> <li>B.S or M.S or Ph.D. in Computer Science (or equivalent experience)</li> </ul> <p> </p> <p data-renderer-start-pos="2767" data-local-id="7e2e892f9952">Vectra is an equal opportunity employer. Hybrid home working is available for this role. Contact us to learn more or discuss your career possibilities at Vectra.</p> <p data-renderer-start-pos="2930" data-local-id="4d6414230117"><em data-ren ... (truncated, view full listing at source)