Software Engineer, Product Security - Security Automation (Remote) jobs in United States
CrowdStrike
Responsibilities
- Be a technical contributor on a global software engineering team in Product Security, building and operating robust and scalable systems that drive our security mission
- Design and implement software & automation tools for security use cases such as software supply chain security, AI-powered vulnerability discovery, and visibility of a global multi-cloud platform
- Partner closely with teams throughout Product Security to develop security tooling strategy, through risk assessments and architectural deep dives
- Own SRE excellence, CICD, and datastore operations for mission-critical security services, implementing performance monitoring and response processes to ensure flawless performance during critical security responses
Preferred
- SaaS company background is a strong bonus
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
- Eligibility for bonuses
- Equity grants
- Health insurance
- 401k
- Paid time off
- Glassdoor
- 3.8
- CrowdStrike is a cybersecurity technology firm that provides cloud-delivered protection for cloud workloads, identity, and data.
- Sunnyvale, California, USA
- http://www.crowdstrike.com
- Distribution of Different Job Fields Receiving Sponsorship
- Represents job field similar to this job
- Engineering and Development
- Product Management
- Management and Executive
- Customer Service and Support
- Accounting and Finance
- Marketing
- Creatives and Design
- Human Resources
- Sales
Qualifications
- Experience in a Software Engineering role (event-driven systems, data ingestion pipelines, internal automation tools, internal monitoring tools)
- Experience developing in Golang, Python, React, Angular, and/or Typescript
- In-depth understanding of CI/CD pipelines, containers, software cryptographic signing, and OSS dependencies
- Experience with data engineering and datastore/queue operations (OpenSearch, Valkey, Postgres, Kafka, SQS, etc.), including technology selection and owning the health, capacity, and maintenance of those systems in production
- Experience managing end-to-end SDLC, including design, implementation, and delivery, with a focus on stakeholder engagement and mission outcomes
- Experience with Generative AI, both as a productivity tool and creating services that leverage LLMs
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
- Experience with configuration management & orchestration software such as Ansible, Chef, Salt, Puppet, etc
- Experience in a Product Security role (product platforms, customer facing applications)
- Broad awareness of the cybersecurity landscape including adversaries, modes of interest, and TTPs
- Experience monitoring / analyzing telemetry data from applications and infrastructure
- Experience in Security Operations and/or Incident Response
- Experience with Cloud-scale, business-critical Linux environments
- Experience operating within the cloud, preferably AWS or GCP
- A combination of confidence and independence... with the prudence to know when to ask for help from the rest of the team
- SaaS company background is a strong bonus
Required skills
- Golang, Python, React, Angular, TypeScript, CI/CD, Containers, Software Cryptographic Signing, Open-Source Software Dependencies, Data Engineering, OpenSearch, Valkey, PostgreSQL, Apache Kafka, Amazon SQS, Generative AI, Large Language Models, Ansible, Chef, Salt, Puppet, Product Security, Cybersecurity, Security Operations, Incident Response, Telemetry Analysis, Linux, AWS, Google Cloud Platform
Preferred skills
- SaaS company background is a strong bonus
Experience
