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У роли понятный фокус на масштабируемых распределённых SaaS-системах в известной компании по кибербезопасности; при этом конкретные условия и повседневные ожидания описаны не полностью.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Software Engineer (Java/Python/Cybersecurity): Designing distributed systems and building high-performance backend services for Proofpoint's Threat Response products with an accent on scalability, multi-tenant SaaS architecture, and high-volume event processing. Focus on designing parallel processing frameworks, optimizing PostgreSQL performance, and applying AI-assisted engineering tools to large-scale production systems.
Location: Belfast, Northern Ireland, United Kingdom
Company
hirify.global provides human- and agent-centric cybersecurity solutions that protect email, cloud, collaboration tools, data, and AI workflows.
What you will do
Design distributed systems and build high-performance backend services for the Threat Response product engineering team.
Develop and maintain large-scale production systems for enterprise and SaaS applications.
Process high volumes of events, messages, or transactions across multi-tenant SaaS platforms.
Optimize database performance, application efficiency, system throughput, and resource utilization.
Use AI-assisted engineering tools for software design, implementation, testing, debugging, and operational support.
Requirements
Extensive software development experience building enterprise or SaaS applications.
Excellent programming skills in Java and/or Python, with experience designing, implementing, and maintaining large-scale production systems.
Experience building and operating large-scale, multi-tenant SaaS platforms.
Experience designing scalable distributed systems that process high volumes of events, messages, or transactions.
Experience designing scalable processing frameworks that support parallel execution, tenant isolation, and fair resource utilization.
Experience with PostgreSQL or other relational databases, including query optimization, performance tuning, and database scalability.
Ability to effectively leverage AI-assisted engineering tools for software design, implementation, testing, debugging, and operational support.
Strong analytical, problem-solving, communication, and collaboration skills.
BSc degree in Computer Science, Engineering, or equivalent practical experience.
Nice to have
Experience with AWS cloud services and modern cloud application architectures.
Experience with messaging and streaming technologies such as Kafka, SQS, or similar platforms.
Experience optimizing application efficiency, system throughput, and resource utilization in large-scale production environments.
Experience integrating with Microsoft 365, Microsoft Graph, Google Workspace, or other enterprise SaaS platforms.
Experience with modern frontend technologies such as React or TypeScript.
Culture & Benefits
Full-time position with a flexible work environment.
Competitive compensation and comprehensive benefits.
Annual wellness and community outreach days.
Career development opportunities and recognition for contributions.
Global collaboration and networking opportunities.
Inclusive culture welcoming applicants from all backgrounds, experiences, and perspectives, with accommodation available during the application or interview process.
Hiring process
Submit an application with any supporting information.
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