Synerise

Junior Scala Engineer

7000 - 9000 PLN/ mies./ mies.ZlecenieUmowa zlecenia

7000 - 9000 PLN/ mies./ mies.B2BB2B (netto)

JuniorHybryda·KrakówFull-time·Umowa zlecenia·B2B

#465800·Dodano 22 dni temu·40

Źródło: theprotocol.it

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Tech Stack / Keywords

Java Scala Apache Kafka SQLnoSQLClaude CodeCursorGitHub Copilot

Podsumowanie oferty

You’ll design, build, and evolve the backend for an event-processing and analytics platform that powers customer experiences. The work focuses on high-volume event processing and analytics using Scala, Apache Kafka, and Kubernetes.

Wymagania

Programming skills in any JVM language, such as Java or Scala, and a strong willingness to learn them quickly.
Strong Scala skills, with production experience using an effect system such as Cats Effect, ZIO, or Akka/Pekko; depth of understanding is more important than years on a CV.
Working knowledge of Apache Kafka, including partitioning, delivery guarantees, consumer groups, rebalance issues, and consumer lag.
Basic experience with at least one web framework and an understanding of how web applications work.
Familiarity with SQL or NoSQL databases and basic database queries.
Hands-on experience using AI coding tools such as Claude Code, Cursor, or GitHub Copilot as part of daily software engineering work.
Troubleshooting and analytical skills, with a methodical approach to solving technical problems.
Passion for building tools and learning new technologies.
Strong analytical and communication skills.

Nice to have:

Existing GitHub/GitLab portfolio or personal projects.
Experience with microservices architecture.
Basic knowledge of AI/ML concepts.

Obowiązki

Event-processing software:

Work on software that ingests and processes high-volume streams of customer behavior events from online and offline commerce, peaking at 30,000 events per second.
Reliably store and organize event data for downstream analytics and querying.
Power the analytics module that turns raw events into insights for clients.
Keep the software reliable, ordered, and correct under load.
Work on software running on a microservices architecture on Kubernetes.

Daily responsibilities:

Develop architecture and design patterns for processing and storing high-volume data sets.
Develop software with a core focus on optimization and performance.
Translate complex functional and technical requirements into detailed design.
Analyze vast data stores and uncover insights.

Benefity

Work on a production-grade, large-scale system used by enterprise customers worldwide.
Work on technical challenges involving performance, data volume, and distributed systems.
Opportunities for continuous technical growth and deeper ownership over system design.
Support from experienced engineers.
Influence on architectural and technical decisions within your team.

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