Senior Kotlin

Almatý
Astaná
Belgrado
Breslavia
Cluj-Napoca
Cracovia
Lárnaca
Lodz
Lublinie
Remote.Bulgaria
Remote.Kazakhstan
Remote.Poland
Riga
Sofia
Varna
Varsovia

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Client

Our client, a UK-based digital bank, delivers innovative and accessible financial solutions for today's consumers. Known for its user-friendly platform and customer-centered approach, it helps people manage finances with ease and transparency. Recent expansions into flexible payment options and new services strengthen its role as a leader in the UK's digital banking sector.

Project overview

The client is building the bank of the future with cutting-edge technologies. Backend Java/Kotlin engineers work in small, agile, cross-functional teams that tackle real-world problems and interact closely with stakeholders and key business users. They design, develop, and maintain high-quality backend services using Kotlin.

Position overview

The client is building the bank of the future with cutting-edge technologies. Backend Java/Kotlin engineers work in small, agile, cross-functional teams that tackle real-world problems and interact closely with stakeholders and key business users. They design, develop, and maintain high-quality backend services using Kotlin.
The working schedule is aligned with the UK time zone (9am to 5:30pm UK time) and involves participating in on call shifts if required.

Responsibilities

Design, develop, and maintain high-quality backend services using Kotlin under established patterns.
Work closely with cross-functional teams; own architectural decision-making and complex feature delivery using coroutines and existing frameworks.
Define testing strategy for features or services, improve test design across the squad, identify gaps in coverage or reliability, and ensure new work meets agreed quality standards (JUnit, Kotest).
Conduct thorough and high-quality code reviews, improving team-wide code standards.
Participate in the full software development lifecycle, from concept and design to testing and deployment; ensure production readiness and stability, owning monitoring and incident response.
Engage in continuous improvement practices and agile methodologies; shape technical direction, raise standards, and influence architectural choices.
Mentor and support other engineers; lead technical discussions.
Embrace effective agentic coding practices and actively leverage AI tools such as Claude Code and Copilot.

Requirements

2+ years in writing production Kotlin code and implementing features using coroutines.
Experience working on commercial, established products used by real customers, and operating software in production.
Strong knowledge of testing strategies with tools like JUnit or Kotest; able to define and improve squad-wide test coverage.
Backgrounds where quality, testing, and maintainability were prioritised alongside delivery, even under time or commercial pressure.
Experience making architectural trade-offs (e.g. consistency vs availability, sync vs async) and being accountable for the long-term maintainability of those decisions.
Deep understanding of relational database schema design, indexing, performance optimization, and migration integrity.
Advanced Git skills including branching strategy enforcement and complex merge resolution.
Proficient in Docker and Kubernetes deployment patterns, troubleshooting, and platform-level reliability improvements.
Strong command of English in both oral and written communication; ability to lead technical discussions.
Proactive risk management and structured problem-solving mindset.
Effective team player with the ability to work independently; supports and mentors others.
Ownership of complex or ambiguous initiatives end-to-end.

Nice to have

Strong experience with Kafka and event-driven architectures; comfortable with advanced patterns (dead letter queues, schema evolution, exactly once semantics).
AWS Experience.
Understanding event-driven patterns and async messaging (pub/sub, message queues); experience consuming or producing messages in at least one messaging platform.
Openness to define and optimize test and deployment pipelines.
Time spent working across multiple teams, products, or problem spaces, helping to build adaptability
Evidence of evolving practices, responsibilities, or environments over time rather than working in one project
Experience in organisations where engineers were embedded in teams, accountable for outcomes, and closely aligned with product and delivery goals