Software Engineer II (Backend)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer II (Backend): Building and maintaining a distributed service architecture for high-volume data ingestion and analysis with an accent on distributed systems, concurrency, and scalability. Focus on developing robust tracing pipelines using Kotlin, Java, and Kafka to empower observability at scale.
Location: Must be based in Barcelona, Spain (Hybrid/Remote/Onsite options available)
Company
is a global observability platform provider helping companies gain real-time insights into their digital applications and infrastructure.
What you will do
- Build, maintain, and scale backend services and support tools for the distributed tracing pipeline.
- Participate in architectural definitions and influence the product roadmap.
- Create automation and tooling to improve system scalability and deployment efficiency.
- Work in an agile environment with a DevOps approach, including on-call rotations.
- Utilize AI tools to accelerate development workflows and investigate production issues.
- Collaborate with product and experience teams to deliver high-quality solutions.
Requirements
- Must be based in Barcelona, Spain (no visa sponsorship available).
- Strong experience with distributed systems, concurrency, and scaling in production.
- Proficiency in OOP languages such as Kotlin, Java, or Go.
- Familiarity with asynchronous programming, message queues, and event-based flows.
- English proficiency required.
- Ability to work in a fast-paced, agile environment with shared code ownership.
Nice to have
- Experience with OpenTelemetry.
- Contributions to open source projects.
- Passion for build and test automation.
- Experience in technical mentorship.
Culture & Benefits
- Flexible workforce model supporting office-based, remote, or hybrid work.
- Commitment to a diverse, welcoming, and inclusive work environment.
- Focus on technical excellence and shared knowledge.
- Opportunities to work on large-scale, high-impact observability challenges.
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