WE ARE AMDARIS

We are growing aggressively, and we are now looking for a Senior QA Engineer - UI Automation (Python).
The candidate should be capable of handling infrastructure, possess a solid understanding of software development, and be able to develop QA tools and automation frameworks also to embark on an international project and work with the latest testing tools alongside the brightest minds in a collaborative and energetic work environment.
We are offering stimulating salaries plus a great range of benefits, including the opportunity of building and enhancing yourself for a successful career within a highly reputable organisation. A great team mentality is essential, with the ability to lead by example and promote good team spirit and collaboration.

We are building production-grade agentic content workflows for a large-scale English Language Learning ecosystem. The platform uses AI agent architectures to generate and validate educational content at scale, serving multiple products across the organization. The team owns the end-to-end lifecycle: workflow design, LLM orchestration, evaluation, and production operations.

About the Role

We are looking for a QA engineer who thinks in systems, not just test cases. You will own the quality strategy for a platform where outputs are AI-generated, non-deterministic, and educationally consequential, designing evaluation frameworks, setting quality gates, and ensuring what reaches learners meets a consistent standard.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company provides a range of financial products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on ensuring quality and reliability of systems within the financial domain, including validation of business-critical workflows and data processing.

Technologies

• Python
• Azure
• SQL
• Databricks
• Automation frameworks

What You'll Do

• Perform manual testing of application features and workflows;
• Develop and maintain automation tests using Python;
• Work with existing automation frameworks and improve test coverage;
• Validate data and perform database checks using SQL;
• Collaborate with development and QA teams to ensure product quality;
• Identify, document, and track defects;

Job Requirements

• 3+ year of experience in QA;
• Experience with Databricks ecosystem;
• Experience working in Azure cloud environment;
• Good understanding of data pipelines and data platform architecture;
• Experience with Python for test automation;
• Understanding of automation frameworks;
• Experience working with SQL;
• Strong knowledge of manual QA practices;
• Attention to detail and analytical mindset;
• Ability to work in a team environment;
• English level: Upper-Intermediate (B2) or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client, a division of one of the world’s largest healthcare diagnostics and drug development organizations, is focused on empowering healthcare professionals with data-driven insights and innovative digital tools. With over 70,000 employees in more than 100 countries, the company plays a critical role in improving lives through science, technology, and compassionate care.

Project Description

The project focuses on advancing test automation for LIMS applications in an Agile/Scrum environment, ensuring high software quality and compliance with regulatory standards. The role includes developing automated tests for UI, APIs, and web services, maintaining CI/CD integration, and managing test data across multiple platforms. It also involves supporting QA processes through reporting, defect tracking, and continuous improvement of testing efficiency.

Technologies

• Java 21+
• Maven
• SQL
• Git
• Jira, Confluence, Bitbucket
• IntelliJ IDEA
• Selenium and/or Selenide
• UI and API testing

What You'll Do

• Identify, plan and execute test automation activities in an Agile/Scrum environment;
• Ensure high quality software and compliance according to regulatory statutes, policies and procedures;
• Create test automation scripts for UI applications, including Java/.Net/VB, Web Services/APIs and custom-designed automated solutions;
• Perform manual testing as needed to understand application processes and workflows in order to convert into automated test scripts;

Job Requirements

• Bachelor’s degree or equivalent in Electrical or Electronics Engineering or Computer Science. Clinical Healthcare experience a plus;
• 3+ years of hands-on experience building test automation solutions for UI or service and/or transferrable software development experience;
• Self-managing with the ability to control the analysis and quality processes throughout the software lifecycle while continuously driving quality into the overall work process;
• Ability to project, schedule and track assigned tasks or tasks of others; able to determine scope and provide input to manage work effort, project resourcing and risks as required;
• Solid knowledge in Manual Testing;
• Understanding of TDD, BDD and Hybrid software development approaches;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

About the Role

We are looking for an DevOps ready to own the reliability and operational maturity of a production AI platform. You will be the engineering foundation that keeps agentic content workflows running at scale, ensuring services are observable, deployments are automated, and infrastructure is reproducible. Working closely with AI and Full Stack engineers, you will shape how the team builds, ships, and operates, with particular focus on the reliability challenges unique to LLM workloads: cost, latency, and non-deterministic failure modes. This is a role for someone who takes pride in building systems that others depend on.

Key Responsibilities:

• Own the reliability, scalability, and performance of the platform’s services running on Azure Container Apps and AWS ECS.
• Build and maintain CI/CD pipelines (GitHub Actions) for automated build, test, and deployment across multiple microservices, including Docker image management, registries, and deployment config.
• Implement and manage infrastructure as code (Terraform, Bicep, or ARM) across Azure and AWS.
• Set up and maintain observability — monitoring, alerting, logging, and dashboards (New Relic, Langfuse, CloudWatch).
• Manage Azure Service Bus, Blob Storage, Key Vault, and Container Apps configurations.
• Ensure security best practices — secret management, image scanning, vulnerability remediation.
• Implement auto-scaling, load balancing, and cost optimisation for AI workloads.
• Support incident response and establish runbooks for production services.
• Collaborate with AI engineers to optimise LLM API usage, token costs, and latency.

Required Skills & Qualifications

• 5+ years of DevOps, or platform engineering experience.
• Strong hands-on experience with Azure (Container Apps, Service Bus, Key Vault, Blob Storage, Azure OpenAI resource management).
• Familiarity with AWS (ECS, S3, Aurora, CloudWatch).
• Infrastructure as code: Terraform, Bicep, or ARM templates.
• CI/CD pipeline design and maintenance (GitHub Actions preferred).
• Docker and container orchestration, with Kubernetes experience as a strong plus.
• Monitoring and observability: New Relic or equivalent. Experience with LLM observability is a plus.
• Security practices: secret management, vulnerability scanning, image hardening.
• Scripting in Python or Bash for automation.
• Daily user of AI development tools (Cursor, Claude Code, Copilot).
• Fluent English — spoken and written.

Benefits:

• Opportunities for certification and training
• Dual monitor setup and high-spec workstations
• English courses
• Gym allowance
• Medical Reimbursement
• Full salary covered up to 20 days of sickness
• Flexible working hours
• Loyalty scheme
• Team building activities, special events and conferences
• UK/EU Travel opportunities
• Snacks and drinks in the office

Company Background

Our client is a leading innovator in contact center automation, delivering a patented RPA platform used by top organizations in financial services, telecom, insurance, and healthcare. Their platform powers over 1 billion automated actions annually, improving efficiency, reducing costs, and enhancing customer experience.

The company is currently evolving its engineering practices with a strong focus on AI-driven development, enabling faster delivery, higher quality, and greater consistency across its SaaS platform.

Project Description

As an AI DevOps Engineer, you will design, build, and evolve the AI-PDLC platform, including the pipelines and intelligent agents responsible for generating, validating, and deploying software. This is a hands-on hybrid role combining software engineering, DevOps, and AI-driven automation, focused on building scalable, secure, and reliable development systems.

Technologies

• AWS (including AWS Kiro)
• Docker, Kubernetes, Helm
• Jenkins, Harness, Ansible, GitOps
• Bitbucket, Nexus, Sourcebot
• Python, Java, Bash
• SonarQube, Veracode, CodeRabbit
• RestAssured, Playwright, ReadyAPI
• Claude Code, AI agents
• Dremio
• MCP 

What You'll Do

• Design and maintain CI/CD pipelines across the full delivery lifecycle (spec → code → test → deploy);
• Implement and manage infrastructure as code and GitOps-based deployment strategies;
• Develop and manage AI agents that convert EARS specifications into tests, automation, and code validation;
• Integrate Claude Code, AWS Kiro, and other AI tools into development workflows;
• Improve agent accuracy, performance, and lifecycle management;
• Improve performance, reliability, and scalability of pipelines and platform components;
• Embed quality and security checks into delivery pipelines and ensure end-to-end traceability;
• Automate testing processes, including edge cases and negative scenarios;
• Build and maintain containerized environments for development and testing;
• Implement monitoring, logging, and tracing to ensure system observability;
• Collaborate with engineering teams to support releases and resolve issues;
• Contribute to defining AI-PDLC standards and guardrails;
• Drive automation and continuous improvement across development and delivery processes;

Job Requirements

• 5+ years of experience in DevOps, SRE, or platform engineering;
• Strong experience with CI/CD pipelines (Jenkins, Harness);
• Experience with Docker and Kubernetes;
• Experience working with AWS;
• Programming or scripting experience (Python, Java, or Bash);
• Experience with repository and artifact management tools (e.g., Bitbucket, Nexus);
• English proficiency at B1+ level or higher;

Nice To Have:

• Experience with AI-assisted development tools;
• Familiarity with test automation tools (e.g., Playwright, Rest Assured);
• Understanding of specification-driven development approaches;
• Familiarity with integration patterns or platforms;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

About the Project
The platform uses AI agent architectures to generate and validate educational content at scale, serving multiple products across the organization. The team owns the end-to-end lifecycle: workflow design, LLM orchestration, evaluation, and production operations.

About the Role
We are looking for a senior AI engineer ready to work at the heart of production AI systems. You will  contribute directly to two core services: Conversation Brain, an LLM-driven conversation engine, and  Ambient ORA, a speech assessment engine powering multiple products. The role sits at the intersection of product engineering and AI science, bridging research outputs from the R&D team into production-grade services.

Key Responsibilities:

• Design, develop, and optimize AI-driven content generation workflows.
• Contribute directly to our codebases, building and maintaining agentic workflows using Python (FastAPI, CrewAI, LangGraph, LangChain) and Go where needed.
• Build and maintain agentic workflows using CrewAI, LangGraph, and LangChain.
• Ensure code quality through unit and integration tests written as part of the development workflow, in line with our shift-left approach where developers own test creation.
• Operationalize AI models in collaboration with the AI R&D.
• Implement LLM observability and evaluation using Langfuse, OpenLit, and New Relic.
• Design and run LLM evaluation benchmarks and regression detection.
• Integrate and manage resources across Azure (Container Apps, Service Bus, Blob Storage) and AWS.
• Ensure robust CI/CD pipelines and contribute to SDLC best practices.
• Package, deploy, and scale applications using Docker; Kubernetes experience is a plus.

Required Skills & Qualifications

• Strong Python development skills (FastAPI) and hands-on experience with agentic and LLM frameworks 
  (CrewAI, LangGraph, LangChain, or equivalent).
• Production experience with LLMs, including prompt engineering, model evaluation, and 
  operationalizing research outputs into production services (Azure OpenAI, Google Vertex AI).
• Practical experience with Azure services (Container Apps, Service Bus, Key Vault, Blob Storage) and 
  familiarity with AWS.
• Experience with LLM observability and monitoring tools (Langfuse, OpenLit, New Relic, or equivalent).
• Solid grasp of CI/CD, DevOps, and SDLC. Working knowledge of Docker, with k8s experience as a plus.
• Familiarity with ML/NLP tooling (PyTorch, Hugging Face Transformers, spaCy, scikit-learn) a strong plus.
• Daily user of AI development tools (Cursor, Claude Code, Copilot).
• Fluent English, spoken and written.
• Nice to have: Working knowledge of Go, with the ability to read, modify, and maintain existing Go 
  services

Benefits:

• Opportunities for certification and training
• Dual monitor setup and high-spec workstations
• English courses
• Gym allowance
• Medical Reimbursement
• Full salary covered up to 20 days of sickness
• Flexible working hours
• Loyalty scheme
• Team building activities, special events and conferences
• UK/EU Travel opportunities
• Snacks and drinks in the office

About the job

BENEFITS

• Opportunities for certification and training
• Dual monitor setup and high-spec workstations
• English courses
• Gym allowance
• Medical Reimbursement
• Full salary covered up to 20 days of sickness
• Flexible working hours
• Loyalty scheme
• Team building activities, special events and conferences
• UK/EU Travel opportunities
• Snacks and drinks in the office

BENEFITS

• Opportunities for certification and training
• Internal referral bonus up to EUR 1.000
• English courses
• Gym allowance
• Medical Reimbursement
• Full salary covered up to 20 days of sickness
• Flexible working hours
• Loyalty scheme
• Team building activities, special events and conferences
• UK/EU Travel opportunities
• Snacks and drinks in the office