Software Engineer - SaaS Security - Santa Clara Office - Hybrid
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
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