обновлено 7 дней назад
Senior Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Building and operating scalable microservices for a globally distributed real-time messaging platform with an accent on cloud-native architecture, reliability, observability, and secure enterprise communications. Focus on designing high-volume distributed systems, integrating AWS services, ensuring compliance with PCI, HIPAA, and GDPR, and accelerating delivery through responsible AI-assisted engineering.
Location: Budapest, Hungary (flexible office, remote, or hybrid work)
Company
builds AI-powered customer and employee experience software connecting people, systems, data, and AI for more than 8,000 organizations worldwide.
What you will do
- Design and deliver scalable microservices for high-volume, real-time messaging across global environments.
- Own end-to-end feature development from architecture and implementation through deployment and production support.
- Improve observability through logging, monitoring, and alerting to strengthen reliability and operational efficiency.
- Evaluate cloud technologies and distributed-system patterns while influencing platform strategy.
- Partner with engineering and product teams to align Enterprise Messaging capabilities with customer and business needs.
- Mentor engineers, lead code reviews, and promote engineering excellence, including responsible use of AI-assisted development tools.
Requirements
- 6+ years of software engineering experience focused on backend and distributed systems.
- Expertise building and operating scalable, cloud-native applications.
- Proficiency in TypeScript and Java, with the ability to work across multiple backend technologies.
- Experience with RESTful API design, service-oriented architecture, and NoSQL or relational databases at scale.
- Experience with the full software development lifecycle, automated testing, CI/CD, deployment, and production support.
- Understanding of practical problem-solving for complex technical challenges.
Nice to have
- Experience with AWS Lambda, DynamoDB, and Kinesis.
- Knowledge of distributed-system design, scalability, and high-availability patterns.
- Experience with real-time messaging or collaboration platforms.
- Familiarity with JavaScript and other programming languages.
- Experience using AI-assisted engineering tools and workflows.
Culture & Benefits
- Flexible office, remote, and hybrid working options.
- Health insurance, life insurance, and cafeteria benefits.
- Extra days off in August and October, plus paid volunteer time.
- Mentorship, learning programs, leadership development, and education support.
- Inclusive global community with the stability of a multinational company and the flexibility of a startup.
Hiring process
- Application review by Talent Acquisition and the hiring team.
- Zoom interview followed by meetings with the hiring manager and interview team.
- Most processes include no more than five interviews before final steps.
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