# Job Summary
Key Responsibilities
•Participate in all aspects of the product lifecycle.
•Cross-functional collaboration with Product Management, SRE, ML, and Quality Engineering teams to deliver new, enterprise-grade security as a service offerings in a timely fashion.
•Tackle complex, ambiguous technical challenges across system boundaries, translating high-level product and security vision into resilient, production-ready backend architectures.
•Support identification of technical bottlenecks and scaling opportunities, driving continuous performance and efficiency optimizations to maximize throughput, lower latency, and streamline resource utilization at scale.
•Learn and implement modern engineering best practices, including agentic coding workflows and spec-driven development within the team.
•Working with the software engineering, product management, SRE teams during software product development and deployment.
•Execution of large-scale enterprise systems with model serving infrastructure, ensuring seamless, scalable integration across backend services and partner engineering services.
Qualifications
•Bachelor's degree in Computer Science or a related field with 5+ years of relevant industry experience, or a Master's degree with 4+ years of experience.
•Developing and automating the upcoming new software features in cloud environment.
•Domain expertise in designing, building, and operating highly scalable, fault-tolerant distributed systems, with exceptional programming skills in Python or Golang.
•Execution of designing enterprise-wide Microservices architectures, building, and deploying high-throughput, globally scaled APIs to meet strict SLOs, maximize throughput, and reduce compute costs in production.
•Experience with cloud-native solutions (GCP preferred), relational/NoSQL databases, container management (Kubernetes), enterprise CI/CD (GitLab, ArgoCD), and full-stack observability (Grafana, Prometheus).
•Working with the software engineering, product management, SRE teams during software product development and deployment.
•Experience developing, automating, and executing QA processes including test plans, test cases, software tools, and cloud infrastructure to improve product quality and efficiency of deployment and maintenance of the cloud system is a plus.
•Exposure to building, and deploying complex Agentic workflows, tool-use pipelines, or multi-agent orchestrations.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
$134,600.00 - $217,800.00/yr
Role is eligible for Immigration Sponsorship.
