What are the responsibilities and job description for the Software Engineer - SaaS Security - Santa Clara Office - Hybrid position at Rootshell Enterprise Technologies Inc.?
Job Details
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/Google Cloud Platform 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
