Top Engineering Jobs

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.

As a Senior Software Engineer on the static analysis team, you'll design and implement core components for an automated reverse-engineering engine, working on complex code analysis problems and delivering technical projects from research to production.

Own and operate multi-cloud production infrastructure on Kubernetes; build CI/CD and GitOps pipelines; create self-service control planes; manage capacity, observability, on-call and incident response; automate operations and disaster recovery; harden security and enable consuming teams through templates, tooling, and cross-team collaboration.

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

The role involves developing fault-tolerant Golang microservices for a high-scale event-driven architecture and troubleshooting production issues.

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.

Develop network-centric automation tools and self-service portals: build SPAs, microservices (Python/Golang), gRPC/REST APIs, CI/CD pipelines, IaC, observability integrations, automated tests, and participate in on-call rotations to resolve deployment or tooling outages while collaborating with network engineers.

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.

Build and own a vendor schema registry and semantic validation pipeline that ingests OpenAPI/Swagger/Smithy specs, tracks schema evolution, detects semantic and breaking changes, and provides SDKs and developer tooling to safely map vendor APIs into a canonical knowledge graph used by downstream teams.

Design, develop, and lead major features for a multi-petabyte, low-latency distributed ingestion platform. Mentor engineers, drive operational excellence, troubleshoot production incidents, collaborate across teams on architecture and documentation, and help scale systems to support massive daily data ingestion.