Job description
Job Title: Software Engineer (SaaS Security)
Duration: Full Time Opportunity
Location: Remote (India)
Note: Need someone who can join immediately OR at least in 30-45 days.
Note: Need someone who can join immediately OR at least in 30-45 days.
Job Description:
Your Impact
- Responsible for the complete software development life cycle including requirement analysis, design, development, deployment and support.
- Responsible for developing software products for Agentic AI Security.
- Write clean, testable, readable, scalable and maintainable Java/ Python / Go lang code.
- Design, develop and implement highly scalable software features and infrastructure on our security platform ready for cloud native deployment from inception to completion.
- Participate actively and contribute to design and development discussions.
- Develop solid understanding and be able to explain advanced Cloud Computing and Cloud Security concepts to others.
- Work cross-functionally with Product Management, SRE, Software, and Quality Engineering teams to deliver new security as a service offerings to the market in a timely fashion with excellent quality.
- Be able to clearly communicate goals and desired outcomes to internal project teams.
- Work closely with customer support teams to improve end-customer outcomes.
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 of 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