Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Средняя
$200к-235к/год
$190к$200кмедиана$250к
По похожим ролям (49) ~ $200к/год
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Отличная вакансия
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Чёткая зона ответственности для senior-инженера, современный облачный стек, прозрачная зарплата выше медианы и продукт в кибербезопасности делают вакансию сильной, но требования к статусу US person и допуску существенно ограничивают круг тех, кому она доступна.
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Жёсткий допускСовременный стекПонятная зона ответственностиХороший уровень оплатыКибербезопасность
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Backend Engineer (Cybersecurity/Python): Building and operating backend services, workflow orchestration, data processing pipelines, datalake infrastructure, and graph-based APIs for autonomous external pentesting capabilities with an accent on performance, scalability, reliability, and production operations. Focus on designing resilient distributed workflows, optimizing high-throughput ETL systems, managing Kubernetes and AWS infrastructure, and maintaining observability and uptime for security products.
Location: Remote within the United States; only US persons may interview, and eligibility for a US Federal Security Clearance is required. Up to 5% travel may be required.
Base salary: $199,750–$235,000 annually, plus an equity package in the form of stock options.
Company
hirify.global is a remote cybersecurity product company developing the NodeZero platform for production-safe autonomous penetration testing and security assessment operations.
What you will do
Design, build, and maintain features in the core Python API for external pentesting capabilities.
Build and operate workflow orchestration for large-scale, long-running, concurrent workloads, including scheduling, retries, idempotency, state management, visibility, and failure recovery.
Develop high-throughput data processing and ETL pipelines, datalake architecture on AWS, GraphQL and graph-based APIs, and related queryable datasets.
Deploy and manage services on Kubernetes, contributing to cluster operations, release management, capacity planning, and cloud infrastructure.
Own performance, scalability, observability, uptime, metrics, tracing, alerting, on-call participation, and production stability.
Collaborate with frontend engineers, product managers, and designers on user-facing launches, data presentation, architecture decisions, and design documentation.
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
7+ years of professional software engineering experience using modern object-oriented or functional languages such as Python, Java, Go, Scala, C++, or TypeScript.
Experience building and running workflow orchestration or distributed task-processing systems in production, such as Prefect, Temporal, Airflow, Celery, or similar.
Hands-on experience designing and building high-throughput data processing systems and ETL pipelines.
Experience building applications on cloud computing platforms such as AWS, Azure, or GCP, using container technologies such as Docker and Kubernetes.
Ability to manage concurrent initiatives, prioritize effectively, work independently and collaboratively, and communicate clearly.
Reliability mindset for distributed work, including designing for retries, partial failure, recovery, and systematic debugging of asynchronous systems.
Strong analytical, problem-solving, technical writing, and attention-to-detail skills, with an operational ownership mindset.
Only US persons may interview; eligibility for and successful completion of a US Federal Security Clearance is a condition of employment.
Nice to have
Deep Kubernetes experience, including deployment and cluster management and troubleshooting production workloads.
Experience with durable-execution or workflow engines such as Temporal or Prefect, including resilient, observable, and evolvable workflows.
Experience building GraphQL backends and working with graph databases.
Experience owning observability, uptime, and scalability for production systems using tools such as Datadog, Prometheus, or OpenTelemetry.
Systems engineering and architecture experience with datalakes and related cloud services.
Experience building platform capabilities or internal tooling used by other engineering teams.
Experience in cybersecurity or with attack surface and vulnerability data.
Culture & Benefits
Remote work with a collaborative, respectful, ownership-oriented, and results-focused culture.
Hybrid and remote work models vary by role and location; some roles require regular presence at the Chicago office.
Health, vision, and dental insurance for employees and families.
Flexible vacation policy and generous parental leave.
Career development opportunities and an inclusive workplace focused on diversity, equity, and inclusion.
Full-time roles are eligible for equity in the form of stock options.
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