QAtronic

Requirements:

• Strong production experience with Python and SQL.
• Experience developing JavaScript SDKs and iOS SDKs, ideally covering both.
• Ability to design and build a mobile attribution SDK from scratch.
• Experience building products, designing reusable abstractions, and making architecture decisions.
• Fluent English.
• Nice to have: React Native, Android SDKs, mobile attribution, mobile analytics, or GCP.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

• Flexible working hours

Requirements: 

• Strong production experience with Python, TypeScript, and SQL.
• Deep understanding of databases, data modeling, and query performance.
• Experience delivering product features and integrations across frontend and backend.
• Ability to design reusable abstractions and discuss architectural trade-offs.
• Fluent English.
• Nice to have: e-commerce, tracking analytics, GCP, Pub/Sub, BigQuery, or Airflow.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

Requirements: 

• Strong production experience with Python and SQL, with a focus on backend development.
• Hands-on experience with API integrations and streaming or event-driven systems.
• Experience building products, designing reusable abstractions, and contributing to architecture decisions.
• Fluent English.
• Nice to have: Snowplow, OpenSnowcat, Conversion APIs, marketing analytics, e-commerce, GCP, Pub/Sub, BigQuery, or Airflow.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

Project Description:
Data-collection platform spanning a worker mobile application, back office, and backend services.

Hard Skills / Must Have:
• Functional, integration, API, and end-to-end testing across onboarding, task processing, data capture, review, earnings, and payouts
• Testing TTL, expiry, reassignment, quotas, targeting, financial flows, privacy, consent, retention, and erasure
• Experience testing financial flows, such as accruals, balances, batch payouts, and reconciliation with third-party payout providers; understanding of data privacy requirements, including consent management, data retention, and erasure
• Experience testing integrations with internal and third-party services, such as authentication, CRM and push notifications, payout partners, LLM providers, and cloud storage (S3)
• Strong understanding of microservices, event-driven and asynchronous architectures, including retries, timeouts, idempotency, duplicate events, and eventual consistency
• REST/gRPC API testing and automation with Postman
• Automated testing with Playwright, Cypress, Appium, or similar frameworks
• Troubleshooting using logs, metrics, traces, databases, message queues, SQL/MySQL, Kafka, Grafana, Kibana, and CloudWatch
• Ability to validate consistency across the mobile app (Kotlin), WebView, back office, backend APIs, and distributed services, and troubleshoot partial failures and partner/service outages
• CI/CD, Docker, AWS, distributed-service testing, test strategy, release validation, and production issue analysis

Hard Skills / Nice to Have:
• Experience testing media capture and upload on mobile devices (photo, voice, video, text), including device fragmentation, permissions, poor or unstable networks, resumable uploads, and on-device validation
• Experience testing ML/LLM-powered features and validating AI-generated outputs
Responsibilities and Tasks:
• Own test strategy, test planning, and release sign-off for the platform
• Test mobile media capture and upload under real-world device and network conditions
• Verify task lifecycle, quotas, submissions, review workflows, segmentation, and isolation
• Validate financial, compliance, consent, erasure, and audit flows
• Build and maintain end-to-end and API automation in CI, including load testing
Technology Stack: Kotlin, Playwright/Cypress/Appium, Postman, REST/gRPC APIs, SQL (MySQL), Kafka, Grafana, Kibana, AWS (S3, CloudWatch), Docker, CI/CD

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

Requirements:
5+ years of overall engineering experience
3+ years of test automation experience, mainly backend
Strong Python + Pytest
Experience testing REST and gRPC APIs
Good understanding of microservices / client-server architecture
Linux + Bash
Understanding of Docker, Kubernetes and CI/CD
Basic SQL
Experience with Kafka and/or Kibana
Ability to analyze backend service logs
Basic understanding of Machine Learning
Practical use of AI assistants in day-to-day engineering work

Responsibilities:
Develop and maintain automated backend/API tests
Test backend services and analyze results
Maintain test plans, test cases and documentation
Identify and track defects
Collaborate with developers, TechOps and other teams
Contribute to testing and quality processes
Tech stack: Python, Pytest, Linux, Bash, Docker, Kubernetes, CI/CD, REST, gRPC, Kafka, Kibana, SQL

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

This is not a traditional fullstack development assignment. Client requires specialists capable of combining established software engineering practices with the design, integration and optimisation of AI-powered functionalities within business-critical banking applications.

The candidates will initially support the maintenance, stability and continuous improvement of existing applications. Over time, they will progressively assume full responsibility for implementing new functionality and translating business requirements into production-ready solutions.

Key responsibilities:
1. Maintain, troubleshoot and continuously improve existing applications and services to ensure stability, performance and reliability.
2. Independently analyse business requirements, design solutions and implement new application features and enhancements.
3. Contribute to the design, development and continuous improvement of AI-powered application functionalities.
4. Support the architecture and implementation of intelligent chatbot solutions powered by Large Language Models.
5. Develop and integrate application interfaces to enable reliable communication between internal systems, external platforms and AI services.
6. Participate in architectural decisions concerning application scalability, infrastructure, maintainability and security.
7. Support deployment, operation and optimisation of applications within cloud-native and containerised environments.
8. Collaborate closely with developers, architects, business stakeholders and other cross-functional team members.
9. Work within an Agile/Scrum environment, participating in planning, refinement, implementation and delivery activities.
10. Apply secure development practices, including protection against misuse, inappropriate content and unauthorised access.
11. Ensure that implemented solutio

Must-haves:
1. Python development: Strong professional experience developing, maintaining and optimising backend services using Python. Candidates must be capable of independently implementing complex business logic and delivering reliable, maintainable applications.

2. Angular 21+: Hands-on experience developing modern frontend applications using Angular version 21 or newer, including implementing new features, maintaining existing components and integrating frontend applications with backend services.

3. Fullstack software engineering: Proven ability to work across frontend and backend components, understand end-to-end application architecture and deliver complete functional solutions.

4. AI and LLM integration: Practical experience designing, developing and integrating AI-powered application components, particularly solutions based on Large Language Models.

5. LangChain and LangGraph: Hands-on experience with both frameworks to develop, orchestrate and manage LLM-driven workflows, application logic and AI-based interactions.

6. MCP and A2A: Practical experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) technologies for connecting AI systems, external tools and agent-based functionalities.

7. LLM chatbot development: Experience designing and implementing LLM-powered chatbot solutions, including conversation handling, integration with existing systems and production deployment.

8. Prompt Engineering: Ability to design, structure, test and optimise prompts to improve the quality, consistency, reliability and relevance of AI-generated responses.

9. OpenAI integration: Experience integrating OpenAI or comparable AI platforms into software applications through APIs and related integration mechanisms.

10. AI solution architecture: Understanding of architectural patterns for building secure, reliable, scalable and maintainable AI-powered software solutions.

11. Containerisation and orchestration: Practical experience with OpenShift, Kubernetes and Docker for deploying, managing and maintaining containerised applications.

12. GitLab and Helm: Experience using GitLab within software development workflows and Helm for managing application deployments in Kubernetes environments.

13. PostgreSQL: Experience working with PostgreSQL databases, including application integration, data persistence and database-related development activities.

14. REST API development: Strong experience designing, developing, integrating and maintaining REST APIs and other application interfaces.

15. Network infrastructure and security: Good understanding of networking principles, infrastructure components, secure communication and relevant application security concepts.

16. AI application security: Experience implementing security and protection mechanisms, specifically:
- Rate limiting to control request volumes and prevent misuse.
- Spam protection to reduce malicious or unwanted interactions.
- Guardrails to control AI behaviour and enforce application policies.
- Content filtering to prevent inappropriate or prohibited outputs.
- Content moderation to identify and manage potentially harmful user inputs and AI-generated content.
17. Agile/Scrum: Practical experience working within Agile software development teams, including sprint planning, collaboration, iterative delivery and continuous improvement.

18. Jira and Confluence: Experience using Jira for task and project tracking and Confluence for technical documentation and knowledge sharing.

19. Independent delivery: Ability to transition from supporting maintenance activities to independently owning the implementation of new features and business requirements.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

• Flexible working hours

Must-haves:
1. Completed university degree in Computer Science, Business Informatics, or a comparable qualification.
2. Proven knowledge of established architecture frameworks and standards.
3. Many years of professional experience in IT projects involving complex IT landscapes and demanding integration projects.
4. Experience working in both traditional and agile project environments.
5. Several years of experience as an IT architect designing modern web applications and web platforms.
6. Strong knowledge of modern IT architectures and development environments, including portals, API management, microservices, CI/CD, Django, Kubernetes/K8s, Ruby on Rails, or comparable technologies.
7. Experience designing and implementing “Governance as a Service” for AI and agent-based solutions.
8. Experience designing and further developing an Agent Harness for standardized orchestration, security, and governance of AI agents.
9. Knowledge of defining and technically enforcing governance rules, guardrails, role and authorization concepts, lifecycle requirements, and compliance requirements for AI agents.
10. Experience with LLM and agent governance, including controlled access to tools and data, traceability, observability, and reusable governance components.
11. Experience setting up, structuring, and continuously maintaining an LLM-optimized wiki or Git-based knowledge base.
12. Proficiency with Git-based workflows for versioned, traceable, and automatable knowledge maintenance, including Markdown, branching, pull requests, reviews, and CI/CD.
13. Experience preparing architecture, governance, and operational knowledge so it can be used automatically by LLMs and AI agents.

Nice-to-haves:
1. Knowledge of the energy industry.
2. Knowledge of IT applications used by a distribution system operator, particularly in asset management, grid operations, metering, CRM, billing, and/or market communication.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team