Top Engineering Jobs

Design and build scalable SDET testing infrastructure for data connectors, parsers, and ingestion platforms. Develop reusable testing frameworks, CI/CD integrations, AI-powered test generation, monitoring and reporting systems, utilities, and testing standards. Lead technical architecture decisions while ensuring quality, reliability, and accuracy across distributed systems. The role requires programming expertise in Python or Go, cloud platform experience, containerization, orchestration, and scalable automation framework development.

Operate and evolve internal Temporal infrastructure on Kubernetes: deploy updates, automate operational tasks, tune performance and capacity, build observability, participate in on-call incident response, troubleshoot production issues, and help onboard internal teams while growing platform engineering skills.

As a Software Developer in Test, you will validate cloud-side software, enhance automated test coverage, and improve product quality in a collaborative team.

Design, implement, operate, and troubleshoot CrowdStrike’s global multi-vendor, multi-cloud, hybrid data center networks. Build cloud connectivity and network constructs, develop infrastructure-as-code and automation using Ansible, Terraform, Python, and Go, improve resilience and deployment efficiency, support incident analysis and on-call rotations, and ensure compliance with regional data sovereignty and security requirements.

Design and implement backend automated testing and frameworks for Charlotte AI. Validate integrations, build test plans for functional and non-functional needs, execute and analyze tests, track regressions, participate in code reviews, and collaborate with cross-functional teams to ensure reliable, scalable AI-enabled services.

Lead the design and development of scalable automated testing and release automation for CrowdStrike’s cloud-native NG-SIEM platform. Build test frameworks, collaborate with engineering and release teams, promote quality assurance practices, code hands-on, manage ambiguity, and mentor SDETs. The role requires extensive test automation expertise, programming proficiency, CI/CD experience, broad testing-methodology knowledge, and familiarity with cybersecurity or large-scale log-management products.

Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.

Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.

Maintain and enhance a Python-based domain-specific language compiler and detection tooling. Design language and compiler features, resolve cross-platform integration issues, develop end-to-end tests, improve performance and user experience, gather user feedback, and shape tooling architecture and roadmap. Collaborate with distributed engineering teams and contribute to system design decisions. Security industry experience is not required, but strong software engineering, algorithms, architecture, communication, and compiler interest are expected.

Own and operate multi-cloud, multi-region production infrastructure on Kubernetes. Build CI/CD pipelines, GitOps workflows, control planes, infrastructure-as-code, observability, security automation, disaster recovery, and self-service tooling. Manage capacity, databases, incidents, on-call responsibilities, and reliability improvements while supporting engineering teams and collaborating with infrastructure, SRE, and data services groups.