Jobs Ivano-Frankivsk, QA Automation

Required Skills and Experience (Must Have)

• Hands-on experience with AWS (e.g., IAM, SQS, RDS, Redis/ElastiCache, S3, SNS, Lambda, VPC), including troubleshooting misconfigurations and dependency issues across environments.
• Strong proficiency in Python for automation frameworks, test development, and scripting; ability to read/debug Go services is a plus.
• Practical Kubernetes experience (namespaces, Deployments, Services, ConfigMaps/Secrets, RBAC, HPA, Helm) sufficient to reason about application deployment, scaling, and test impact.
• Experience designing black-box/gray-box tests for infrastructure and configuration correctness, ideally in a GitOps / Infrastructure-as-Code setup (Terraform, Git repositories as the source of truth).
• Comfortable using observability platforms (New Relic, OpenTelemetry, or similar) to monitor latency, error rates, saturation, and dependencies as part of validation and troubleshooting.
• Solid QA fundamentals: risk-based testing, regression/system testing, integration testing, and exploratory testing, ideally in a safety- or compliance-critical domain (e.g., medical devices, FinTech).
• Strong communication: ability to explain complex systems clearly, lead discussions on release risk, and collaborate effectively with cross-functional teams.

Preferred Skills (Nice to Have)

• Experience validating Infrastructure-as-Code using tools like Terratest or equivalent custom test frameworks to verify Terraform modules, networking, RBAC, and critical resources.
• Familiarity with GitOps tooling and workflows such as Argo CD, Helmfile/Helm charts, and Git-based environment promotion.
• Experience designing and running performance, load, or stress tests (e.g., JMeter, k6, Gatling) and interpreting results to drive scaling and optimization decisions.
• Background or exposure to SRE/DevSecOps practices (SLIs/SLOs, reliability and security checks in pipelines), and observability in service meshes (Istio/Linkerd) or with Cilium/eBPF.
• Prior experience in medical/HealthTech products or other regulated industries, understanding compliance, audit trails, and validation expectations.

Job Responsibilities

As a Senior Infrastructure-aware QA Automation Specialist, you will design and implement automated tests for APIs, backend services, and cloud infrastructure, ensuring correctness across environments and CI/CD pipelines for medical software and connected devices. You will collaborate closely with Developers, SRE/DevOps, and Product to use IaC, GitOps, and observability platforms (e.g., New Relic) to validate system health, scalability, and reliability before and after releases. 

Key Responsibilities

• Design, implement, and maintain automated test suites for APIs, backend services, and infrastructure/configuration correctness in AWS and Kubernetes-based environments.
• Integrate tests into CI/CD pipelines (e.g., GitLab/Jenkins) as risk-based quality gates, defining stages, thresholds, and actions on failure in collaboration with Dev and SRE teams.
• Validate infrastructure and environments across Dev/QA/Prod-like stages using Terraform/IaC definitions, Kubernetes resources, and configuration checks, preventing config-to-resource mismatches.
• Use observability tools (New Relic, OpenTelemetry-based stacks, or similar) to define key signals, validate releases, investigate incidents, and distinguish between application, infra, and environment noise.

• Contribute to performance and scalability testing (e.g., JMeter or similar), helping design scenarios, interpret metrics, and influence scaling and capacity decisions.

   

Department/Project Description

Our client is an innovative manufacturer of medical devices in the United States, producing devices and software applications.

In this project, you will have a great opportunity to be involved in the full development life cycle of medical software, which is designed to assist individuals by processing information from medical devices to identify health trends and track daily activities. In addition, there are opportunities to work with medical devices, in the scope of end-to-end testing.

Requirements:
 

- At least 3-5 years of experience as an Automation QA engineer;

- Strong Python knowledge;

- Experience in AI testing or AI-assisted QA tools;

- Practice in testing LLM and RAG applications, including prompt validation;

- Strong knowledge of theory and best practices in testing of web applications;

- Proven track record of building UI and API test frameworks from scratch;

- Hands-on experience with Selenium WebDriver;

- Experience with CI/CD and Docker;

- Experience with non-relational and relational databases;

- Experience with CLI and HTTP(s)/SSH protocols;

- Experience of API testing;

- Good analytical skills and attention to detail.

Will be a plus:

- Knowledge of ML workflows and frameworks; 

- Experience with Elasticsearch, Kibana;

- Experience in Cyber Security.

Responsibilities:

- Design, develop, and maintain automated API and functional tests to ensure product quality and reliability;

- Implementation of AI tools for product testing;

- Build tooling and CI/CD integrations (GitLab CI/CD, Jenkins) to enable faster feedback cycles and scalable test coverage;

- Managing defects: investigating, reporting, and tracking them to resolution;

- Collaborating with the development team, QAs, DevOps, and the management team;

- Define and drive key quality metrics; deliver actionable insights through dashboards and reports.

About N-iX: 
N-iX is an international software development service company that partners with businesses worldwide to help them create successful software products.

Client Overview:
Our client is involved in a large-scale Data Transformation project, with a focus on solidifying the foundation of their data operations. They are aiming to ensure that data is accurate, consistent, and available at critical times to support their business needs. 

Project Objectives:
The objective of this project is to enhance the QA processes through the implementation of automation within the Data landscape. This includes developing and maintaining regression testing suites, and creating test scripts and automation plans to improve the overall efficiency and quality of data testing practices.

Responsibilities:

• Design and execute data validation tests to ensure completeness in Azure Data Lake Storage (ADLS), Azure Synapse, and Databricks.
• Verify data ingestion, transformation, and loading (ETL/ELT) processes in Azure Data Factory (ADF).
• Validate data schema, constraints, and format consistency across different storage layers
• Conduct performance testing on data pipelines
• Optimize query performance by working with data engineers
• Identify, log, and track defects in JIRA.
• Collaborate with Data Engineers and Business Analysts to resolve data inconsistencies.
• Generate detailed test reports, dashboards, and documentation for stakeholders.

Requirements:

• 3+ years of QA experience with a strong focus on Big Data testing, particularly with hands-on experience in Data Lake environments on any cloud platform (preferably Azure).
• Hands-on experience in Azure Data Factory, Azure Synapse Analytics, or similar services. 
• Experience with Databricks.
• Proficiency in SQL, capable of writing and optimizing both simple and complex queries for data validation and testing purposes.
• Experienced in PySpark, with experience in data manipulation and transformation, and a demonstrated ability to write and execute test scripts for data processing and validation (ability to understand the code and convert the logic to SQL).
• Hands-on experience with Functional & System Integration Testing in big data environments, ensuring seamless data flow and accuracy across multiple systems.
• Knowledge and ability to design and execute test cases in a behavior-driven development environment.
• Fluency in Agile methodologies, with active participation in Scrum ceremonies and a strong understanding of Agile principles.
• Familiarity with tools like Jira, including experience with X-Ray for defect management and test case management.
• Proven experience working on high-traffic and large-scale software products, ensuring data quality, reliability, and performance under demanding conditions.

Nice to Have:

• Experience with Azure.
• Familiarity with database administration and optimization techniques.

We Offer:

• Flexible working format - remote, office-based or flexible.
• A competitive salary and good compensation package.
• Personalized career growth.
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more).
• Active tech communities with regular knowledge sharing.
• Education reimbursement.
• Memorable anniversary presents.
• Corporate events and team buildings.
• Other location-specific benefits.