Software Engineer - SaaS Security - Santa Clara Office - Hybrid

Rootshell Enterprise Technologies • Santa Clara, CA

9h • Hybrid

About The Position

The Software Engineer will develop cloud-native, distributed SaaS security applications and services, with a focus on building connectors for SaaS applications and Low Code / No Code and Agentic AI platforms. The role involves backend development, microservices, cloud-based workloads, and scalable services and workflows. The position is based at the Santa Clara office in a hybrid work environment.

The engineer will work with software development teams and other groups to build full-stack products deployed at cloud scale. The role calls for strong troubleshooting, collaboration, communication, and data-driven decision-making in a fast-paced environment.

Requirements

• At least 8 years of software engineering experience, focused on cloud-native application development at large organizations or innovative startups.
• At least 5 years of experience and deep understanding in building connectors for Low Code / No Code and Agentic AI platforms.
• At least 8 years of experience building connectors for SaaS applications.
• Strong programming skills in Python, Go, or Java, and experience building distributed systems.
• At least 8 years of experience running workloads on cloud-based architectures.
• At least 8 years of experience with cloud technologies such as ElasticSearch, Redis, Kafka, MongoDB, and Spring Boot.
• Experience with Docker and Kubernetes or other container orchestration platforms.
• Experience with backend development, including REST APIs, databases, and serverless computing, for distributed cloud applications.
• Experience building and delivering services and workflows at scale using microservices architectures.
• Experience with agile processes and software development teams building full-stack cloud products.
• Understanding of public cloud design considerations and limitations, including microservices, security, global network infrastructure, distributed systems, and load balancing.
• Strong understanding of DevOps principles and Continuous Delivery.
• Excellent troubleshooting abilities, including isolating testing issues and verifying bug fixes.
• Strong collaboration and communication skills; ability to work with many different teams.
• Can-do attitude and ability to make trade-off judgments using data-driven decision-making.
• High energy and ability to work in a fast-paced environment.

Nice To Haves

• Experience with security products, including data and DLP, CASB Security, and SASE.
• Experience integrating with third-party APIs and services.
• AWS or GCP experience.
• BS/MS in Computer Science or another engineering or technical degree.

Responsibilities

• Build connectors for Low Code / No Code and Agentic AI platforms, including platforms such as Microsoft Copilot Studio, Microsoft Power Platform, Salesforce Agentforce, Zapier, Crew AI, and Marketo.
• Build connectors for SaaS applications such as Microsoft O365, Power Apps, Salesforce, and ServiceNow.
• Develop backend components, including REST APIs, databases, and serverless computing, for distributed cloud applications.
• Build and deliver services and workflows at scale using microservices architectures.
• Run workloads on cloud-based architectures.
• Troubleshoot issues found during testing and verify fixes after bugs are resolved.
• Work with software development teams using agile processes to build full-stack products deployed on the cloud at scale.
• Collaborate across teams and make data-driven trade-off decisions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior