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Posted May 8, 2026

Software Engineer - SaaS Security - Santa Clara Office - Hybrid

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Job Title: Software Engineer - SaaS Security Location: Santa Clara Office - Hybrid Your Experience • 8+ years of experience in software engineering, with a focus on cloud-native application development, at large organizations or innovative startups. • 5+ Experience and deep understanding for building connectors for Low Code / No Code and Agentic AI platforms like Microsoft Copilot Studio, Microsoft Power Platform, Salesforce Agentforce, Zappier, Crew AI, Marketo etc. • 8+ Experience building connectors for SaaS Applications like Microsoft O365, Power Apps, Salesforce, ServiceNow etc. • Strong programming skills in one of Python, Go, or Java, with experience in building distributed systems. • Preferred experience with security products- Data and DLP, CASB Security, SASE, integration with third party APIs and services. • 8+ years Experience with running workloads on cloud-based architectures. (AWS/GCP experience preferred) • 8+ years of experience in cloud technologies like ElasticSearch, Redis, Kafka, Mongo DB, Spring Boot. • Experience with Docker and Kubernetes or other container orchestration platforms. • Excellent troubleshooting abilities. Isolate issues found during testing and verify bug fixes once they are resolved. • Experience with backend development (Rest APIs, Databases, Serverless computing) of distributed cloud applications. • Experience with building and delivering services and workflows at scale, leveraging microservices architectures. • Experience with the agile process and working with software development teams involved with building out full stack products, deployed on the cloud at scale. • Good understanding of public cloud design considerations and limitations in areas of microservice architectures, security, global network infrastructure, distributed systems, and load balancing. • Strong understanding of principles of DevOps and Continuous Delivery. • Can-do attitude and ability to make trade-off judgements with data driven decision making. • High energy and the ability to work in a fast-paced environment. • Enjoys working with many different teams with strong collaboration and communications skills. Preferred Qualification • BS/MS in Computer Science, other engineering/technical degree Apply Now Apply Now
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