Назад
2 дня назад

Sr. Software Engineer (Cybersecurity)

140 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Sr. Software Engineer (Cybersecurity): Building and operating multi-cloud services, automation frameworks, and observability tooling for LogScale/NG-SIEM infrastructure with an accent on distributed systems, Kubernetes, scalability, and security-first design. Focus on architecting capacity planning and dynamic scaling, orchestrating upgrades across AWS, GCP, OCI, and managed datacenters, and maintaining reliability for systems ingesting over 100 PB of event data daily.

Location: Hybrid in Austin, TX, USA; 2–3 days per week on-site at the Austin office

Base salary: $140,000–$220,000 per year for U.S. candidates, plus eligibility for bonuses, equity grants, and benefits.

Company

CrowdStrike is a cybersecurity company operating an AI-native platform that protects organizations and processes nearly 3 trillion events per day.

What you will do

  • Design, build, and own core services and libraries for multi-cloud deployment and operation of LogScale fleets across AWS, GCP, OCI, and on-premises datacenters.
  • Develop automation tooling, microservices, GitOps workflows, and DevSecOps practices for provisioning, upgrades, scaling, and configuration management.
  • Build observability, tracing, profiling, alerting, and SLO frameworks for fleet health and reliability at scale.
  • Architect capacity planning, workload forecasting, dynamic scaling, and version-upgrade systems that minimize customer impact.
  • Design, deploy, and troubleshoot secure services in managed and self-managed Kubernetes environments, including authentication, authorization, encryption, and audit logging.
  • Lead technical design, mentor engineers, collaborate with internal stakeholders, participate in global production on-call rotation, and continuously improve platform performance and reliability.

Requirements

  • 7+ years of full-time experience in a service-oriented backend developer role; the average experience is 10–15 years.
  • 5+ recent years developing microservices for a SaaS product using Go, Python, or a similar object-oriented/backend language.
  • Strong fundamentals in data structures, algorithms, distributed systems, scalability, multithreading, concurrency, testing, code review, and resilient architecture.
  • Hands-on experience with AWS, GCP, or OCI and the ability to learn additional cloud platforms.
  • Experience designing production microservices, automation tooling, or infrastructure-as-code frameworks.
  • Production experience deploying, operating, and troubleshooting applications in Kubernetes clusters.
  • Experience with configuration management or IaC tooling such as Chef, Ansible, or Terraform.
  • Experience with CI/CD tooling such as Jenkins, Git, Artifactory, or Bitbucket; solid networking knowledge including VPCs, load balancers, and DNS.
  • Understanding of security-first design, including authentication, authorization, encryption, and audit logging; proven mentoring, communication, cross-functional collaboration, end-to-end ownership, and rotational on-call availability.
  • Proven experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.

Nice to have

  • Expert-level Go; experience with AWS, GCP, OCI, and Azure.
  • LogScale/Humio, Kafka, distributed streaming or log-management systems, data lake/lakehouse architectures, or data federation at scale.
  • Kubernetes operators or Helm development; CKA, CKAD, or CKS certification.
  • SRE practices, SLOs, error budgets, and observability tools such as Prometheus, Grafana, or Datadog.
  • Cloud certifications, FinOps or cost-optimization experience, open-source contributions, or effective use of AI coding assistants.
  • Computer science degree or equivalent experience; cybersecurity or SIEM background.

Culture & Benefits

  • Flexible, autonomous work culture with an AI-first approach to experimentation, innovation, and responsible AI adoption.
  • Comprehensive physical and mental wellness programs, health insurance, competitive vacation and holidays, and paid parental and adoption leave.
  • Bonuses, equity grants, professional development opportunities, employee networks, geographic neighborhood groups, and volunteer opportunities.
  • Vibrant office culture with world-class amenities and a global Great Place to Work certification.
  • Equal-opportunity workplace supporting veterans and individuals with disabilities.

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