Bonapolia

Backend Engineer

• Design and develop scalable backend solutions using Java
• Work with microservices architecture and contribute to technical solution design
• Build, maintain, and optimise REST APIs and backend systems
• Support delivery through CI/CD pipelines and modern engineering practices
• Work with containerised environments using Docker and Kubernetes
• Apply software security principles and development best practices
• Collaborate with team members and stakeholders in a long-term project setup

Senior Java Developer

• Design and develop scalable, high-performance backend systems using Java 21 and Spring Boot
• Build and optimize REST APIs following best practices in software architecture
• Work within a microservices architecture, ensuring modularity and maintainability
• Manage builds and dependencies using Gradle
• Write and maintain automated tests using JUnit, Mockito, and AssertJ
• Ensure code quality through SonarQube analysis and code review processes
• Work with GitLab for version control and CI/CD pipeline management
• Containerize and deploy services using Docker on AWS
• Implement logging with Logback/SLF4J and monitor systems via Grafana
• Handle asynchronous event-driven communication using Kafka
• Work with PostgreSQL as the primary database and Redis for caching
• Apply strong security principles and best practices throughout the development lifecycle
• Collaborate closely with cross-functional teams in an agile environment

Mid/Senior Java Developer

Data Engineer

• Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing within a Data Mesh platform across cloud and legacy DWH environments
• Build and optimize AWS cloud and on-premises (Oracle DB) data architectures for performance, scalability, and reliability
• Develop and maintain ETL / ELT pipelines using modern tools and frameworks to support regulatory, operational, and analytical needs across banking areas
• Support and modernize legacy data systems, ensuring smooth migration toward cloud platform architecture
• Uphold high standards of data quality, security, availability, and performance
• Collaborate with analysts, software engineers, and business stakeholders to understand data needs and deliver solutions
• Perform code reviews, troubleshoot software, and resolve defects
• Implement monitoring and alerting for data workflows
• Participate in the EOD process — including a one-week ROTA rotation with availability until 23:00–24:00 for incident troubleshooting and resolution
• Work as part of a cross-functional Agile team in a Pan-Baltic international environment

Senior Data Engineer

Android Engineer

• Develop and maintain Android applications using Kotlin and Java
• Work with RESTful APIs, networking, and XML / JSON data formats
• Build modern UI components using Jetpack Compose
• Implement reactive and asynchronous patterns using Coroutines, Flow, ViewModel, and LiveData
• Apply architectural patterns including MVVM, MVI, and Clean Architecture
• Integrate APIs using Retrofit and OkHttp
• Implement dependency injection using Hilt or Dagger and apply modularization principles
• Write and maintain unit tests (JUnit, MockK) and UI tests
• Ensure solutions meet high standards of performance, security, and user experience
• Maintain high code quality and contribute to knowledge sharing within the team
• Manage source code and collaborate using Git

Android Developer

Security Engineer

• Collaborate with Security Engineering and Infrastructure teams to identify, remediate, and prevent security, configuration, and architectural issues across the customer's Active Directory environment.

Senior Security Engineer

• Design, develop, and maintain robust, scalable, and reliable backend services.
• Drive technical research, architecture design, and implementation of backend services and new features.
• Collaborate with cross-functional teams to deliver effective technical solutions.
• Participate in code reviews and architectural discussions while promoting engineering best practices.
• Write clean, maintainable, and production-ready code.
• Own the full lifecycle of backend services, including deployment, monitoring, and production support.
• Implement and maintain observability infrastructure, including metrics, logging, dashboards, and tracing.
• Mentor engineers and contribute to the technical growth of the team.
• Participate in Agile ceremonies, including discovery, refinement, sprint planning, decomposition, and demos.

Senior Go Developer

Business Analyst

• Gather, structure, and document business and functional requirements; produce detailed functional specifications including validation rules, state transitions, error handling, and input/output contracts
• Map current and future user flows; identify gaps, edge cases, and dependencies to ensure complete requirements
• Maintain structured documentation and ensure traceability of requirements and decisions
• Facilitate cross-team alignment by clarifying scope, resolving ambiguities, and supporting communication between product and engineering stakeholders
• Define acceptance test scenarios and expected behaviors; participate in testing and UAT
• Proactively identify risks, inconsistencies, and scope gaps in requirements and facilitate their resolution

Senior Business Analyst

• Design and implement complex business logic in Go while ensuring high performance and reliability.
• Design efficient SQL database structures, optimize queries, and build asynchronous service interactions using Kafka.
• Own the lifecycle of backend services, including delivery, monitoring, and production support.
• Write clean, maintainable code, perform code reviews, follow architectural guidelines, and apply engineering best practices.
• Implement monitoring and alerting, participate in post-mortem activities, identify root causes, and automate routine tasks.
• Share knowledge with teammates, onboard new engineers, and contribute to internal libraries and tools.
• Continuously improve technical solutions and contribute to delivering the best possible product experience.

Senior Go Engineer, Russian speaking

Analyst

• Gather and analyze business requirements for regulatory and compliance projects while coordinating with internal business stakeholders in English
• Align tax calculations and fee or commission structures with stakeholders and maintain accurate calculations in project documentation
• Prepare Product Requirement Documents (PRDs), use cases, user stories, technical specifications, architecture visions, system integrations, and process diagrams
• Clarify technical and business details before development activities begin
• Identify mandatory data requirements and reporting requirements for project implementation
• Present research findings and PRDs to the development team during PBR sessions
• Ensure engineering teams fully understand project context and requirements
• Support the project throughout the delivery lifecycle
• Adjust and refine requirements during the development process as needed

Senior System Analyst

• Participate in backlog refinement sessions, review business requirements, validate technical solutions, and contribute to implementation planning.
• Develop integration services with external providers and public systems, implement fiscalization and electronic invoicing functionality, and deliver production-ready solutions.
• Maintain service stability by configuring monitoring, logging, and responding to production alerts.
• Collaborate on regulatory services and independently deliver integration tasks after onboarding.

Senior Go Engineer

Senior System/Business Analyst

• Gather, document, and validate business requirements for Anti-Financial Crime system initiatives
• Translate business needs into clear, structured specifications for IT and delivery teams
• Manage and align stakeholders across Compliance, Product, IT, and business units
• Support delivery within an Agile framework, including planning and refinement activities
• Assist with migration-related projects in AML, KYC, Sanctions, or Fraud domains
• Clarify and validate requirements throughout the delivery lifecycle

DevOps Engineer

• Design, build, and maintain AWS-based infrastructure supporting high-performance analytics platforms
• Use Terraform for Infrastructure as Code (IaC), ensuring scalable and reproducible deployments
• Implement, manage, and optimise Kubernetes clusters for container orchestration and service scaling
• Automate CI/CD pipelines, monitoring, and alerting processes
• Configure and manage PostgreSQL, MongoDB, and Kafka environments ensuring reliability and performance
• Champion cloud security, cost optimisation, and disaster recovery practices
• Define and improve reliability practices across cloud platforms and services
• Establish and maintain observability standards including metrics, logs, traces, dashboards, and alerts
• Participate in incident response, root cause analysis, and post-incident reviews
• Create and maintain operational runbooks, playbooks, and automation scripts
• Identify operational toil and implement automation to reduce manual work
• Collaborate with engineering, analytics, and product teams to ensure reliability, security, and scalability
• Drive continuous improvement in deployment reliability, system resilience, and operational processes

Senior DevOps/SRE Engineer

Data Analyst

• Build and deliver Power BI dashboards and reports to support data-driven decision-making
• Structure cloud-based data into consolidated tables for reporting purposes
• Develop reports that automatically synchronize with underlying AWS datasets
• Transform raw data into meaningful, actionable insights for the Retail Credit Risk team
• Support process improvement initiatives through effective data visualization

Power BI Data Analyst

• Design and enforce Bronze / Silver / Gold architecture and layering principles
• Lead global data model harmonization (conformed dimensions, unified facts, SCD2)
• Drive migration from Teradata to BigQuery with parallel validation and cutover strategy
• Design end-to-end pipelines (ingestion → transformation → consumption) using Airflow
• Establish data governance framework: lineage, metadata, RBAC, auditability
• Implement data quality & observability with automated checks and pipeline gating
• Define CI/CD processes and schema evolution strategy (Flyway, Git-based workflows)
• Optimize performance and cost (partitioning, clustering, aggregation strategies)
• Align architecture with finance, tax, and compliance requirements