Senior Java & Kotlin Developer (e-commerce)

20k - 25k PLN20 000 - 25 000 PLN/ mies./ mies.B2BB2B (netto)

SeniorHybryda·WarszawaFull-time·B2B

#474454·Dodano dziś·0

Źródło: justjoin.it

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Tech Stack / Keywords

Java Kotlin GCP Kubernetes LLMEnglish

Podsumowanie oferty

The role focuses on building and maintaining scalable Kotlin-based features and distributed components for a platform in the Language Intelligence domain. You will integrate LLMs and agentic frameworks into the platform, working with Java and Kotlin to support text analysis, search, content quality, and process automation.

Wymagania

At least 5 years of experience as a Software Engineer delivering highly complex solutions.
Strong knowledge of Java and prior experience with Kotlin.
Foundational experience with and strong interest in AI-based solutions, particularly LLM integration and agentic systems or frameworks.
Ability to lead the design and implementation of complex system features and components.
Ownership of delivered solutions, including code quality, stability, scalability, and observability (monitoring and logging).
Experience making architectural decisions and evaluating technical trade-offs.
Ability to identify and manage technical risks, dependencies, and technical debt.
Ability to evaluate technical decisions through the lens of user impact.
Collaboration skills when working with Engineers, Product Managers, and UX/UI Designers.
Autonomy and accountability typical for contract roles.
English language skills at a minimum B2 level.

Nice to have:

Hands-on experience with cloud environments, preferably GCP, and Kubernetes.
Experience working with large-scale, distributed systems.
Experience in cross-team collaboration within complex organizational structures.
Experience providing technical consulting and knowledge sharing within a project team.
Experience advising on technical best practices and optimizing engineering standards across a project.

Obowiązki

Design, build, and maintain highly scalable, robust Kotlin-based features and distributed components, taking ownership of code quality, observability, and technical debt management.
Drive the technical implementation of AI capabilities by integrating LLMs, agentic frameworks, and smart automation into the core platform to enhance the end-user experience.
Contribute autonomously within a team of specialists and collaborate with Product Managers, UX Designers, and cloud engineers on GCP and Kubernetes; evaluate trade-offs, manage technical risks, and mentor the team.

Britenet

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