Top Engineering Jobs

Build and lead backend engineering for a cloud provisioning platform that automates customer onboarding and configuration. Design and scale distributed systems, mentor engineers, prototype to production, collaborate cross-team, improve architecture, and deliver high-quality, tested code for large-scale, high-throughput environments.

Design and build scalable microservices and platforms for AI security event processing, mentoring team members, and ensuring operational excellence.

As a DevOps Engineer, you will design and implement cloud infrastructure, develop automation tools, and ensure reliable operations across multiple cloud platforms while collaborating with teams to enhance security and performance.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

Lead design, governance, and scaling of CrowdStrike's Atlassian Cloud ecosystem for 12,000+ employees. Own architecture, migrations, app governance, integrations, workflow automation, SDLC traceability, and stakeholder mentorship to ensure secure, performant, and standardized platform operations.

The role involves leading backend engineering efforts to build scalable distributed systems, enhance APIs, and troubleshoot production issues. Candidates should possess expertise in backend languages and cloud engineering principles.

Operate and automate large-scale data plane services (Cassandra, Elasticsearch/OpenSearch, Kafka, etc.), build infrastructure for a devops model, troubleshoot production incidents, and ensure petabyte-scale data is secure, available, and efficiently managed.

The role focuses on implementing cost optimization solutions for cloud infrastructure through automation and collaboration across teams, enhancing FinOps practices.

The role involves developing and implementing cloud-native microservices for a Next-Gen SIEM platform, focusing on threat detection and processing vast datasets. Responsibilities include technical decision-making, mentoring junior engineers, and ensuring software engineering best practices.

Responsible for running and scaling production multi-cloud platform infrastructure on Kubernetes, building CI/CD and GitOps workflows, creating self-service control planes, implementing observability and incident response, automating operations and disaster recovery, hardening security, and enabling other teams to adopt platform services.