Sr. Staff Engineer, Incident Management

Incident Management Services operate within a distributed microservice architecture, handling a large volume of incidents generated by scanning agents such as Data Loss Prevention components. Our comprehensive suite of services is designed to streamline incident handling, facilitate forensic investigations, and securely upload and download high-scale customer-sensitive data to customer-configured cloud endpoints for further investigations. It also provides a workflow for admins to view incidents, forensics, and take action on them.

What's in it for you

As a member of this team, you will work in an innovative, fast-paced environment with other experts to develop and enhance Incident Management capabilities. You will solve complex scale problems and deploy and manage the solution in production, including interactions with well-known SaaS and IaaS Applications via their APIs at cloud scale. If you are driven by high-quality, high-velocity software delivery challenges, and using innovative and cutting-edge solutions to achieve these goals, we would like to speak with you.

What you will be doing

• Designing and building large-scale, highly-replicable cloud-based products and services.
• Building REST APIs to provide provisioning services.
• Coding in Golang and Python.
• Using emerging technologies to build a highly performant, distributed, and scalable system that can seamlessly interoperate with other enterprise elements.
• Designing data access layers to optimize the storage and retrieval of data.
• Working with Product Management to understand and define requirements.

Required skills and experience

• 12+ years of experience in designing and developing enterprise-grade software, with a strong focus on building scalable, high-performance cloud services using a microservices architecture.
• Must have strong capabilities in driving architectural decisions, selecting the right technologies (database, messaging system, APIs, etc.) and guiding the team through large-scale architectural changes.
• Expertise in Incident Management System tools and workflows, specializing in building scalable solutions for incident tracking, automation, and response. Strong experience in designing and optimizing Incident Management integrations and workflows is required.
• Exposure to Incident Management tools like SCIM, Splunk is preferred.
• In-depth knowledge and hands-on experience with Secure Vault (HSM), Ceph datastore, encryption standards are required.
• Excellent analytical / problem-solving skills and a firm grasp of algorithms and data structures.
• Expertise with Docker and Kubernetes, helm charts. Deep understanding of Kubernetes and its debugging is a must.
• Experience with NoSQL databases (MongoDB, MariaDB, Cassandra etc.) and messaging technologies such as Kafka.
• Must have expertise in REST APIs and their application in SaaS, PaaS, and IaaS.
• Strong OO design and programming skills, and experience with Python and Golang.
• Experience with HTTPS and Web 2.0 programming required.
• Experience with SOAP, JSON, and other web API frameworks.

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred.