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High: strong Tier-1 brand, popular cloud role, metro location, and broad platform skill requirements.
Medium: core cloud engineering skills transfer, but SIEM/security platform specifics increase domain specificity.
High: explicit 10+ years, mandatory cloud/distributed-systems experience, and specified language requirements.
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Build and maintain a scalable platform for data connectors that ingest data from diverse data sources with low latency.
Develop core frameworks and pipelines including file ingestion, websocket, and REST API connectors supporting global multi-region deployments.
Lead and participate in cross-team initiatives, troubleshoot production issues, and contribute to continuous improvement of internal tools and SDKs enabling integrations.
Bachelor’s or Master’s degree in Computer Science or related field or equivalent experience.
10+ years of experience designing, implementing, and maintaining software products or systems, preferably in SaaS environments.
Proficiency in at least one programming language, preferably Python or Go.
Experience with commercial cloud platforms (AWS, Azure, GCP) and large-scale distributed systems architecture ensuring high scalability, availability, and optimization.
Experienced in operating multi-region, globally available distributed systems with a track record of operational excellence.
Skilled in integrating AI technologies to enhance business workflows and decision-making processes.
Strong debugging capabilities and effective communication skills enabling collaboration across internal stakeholders and multiple projects simultaneously.