Senior AI Quality Analyst

🏢 Summary: Full-time Senior Automation QA Engineer role focused on building and leading test strategy for AI-powered and deterministic systems in a production-grade platform. The position involves creating scalable automation frameworks, validating non-deterministic AI behaviors, and ensuring high quality standards across backend, API, and frontend layers. The engineer will shape QA processes and tooling within a newly formed team. 🗂️ Requirements: Strong experience in Java or Node.js or TypeScript, Experience building and maintaining test automation frameworks, Hands-on experience with API, backend, and frontend test automation, Strong knowledge of test design principles, Experience with LLMs and AI tools in development or testing, Ability to design validation strategies for AI-driven and non-deterministic systems, Experience with HTTP protocols and browser DevTools 📃 Skills: Java, Node.js, TypeScript, Playwright, REST, RESTAssured, LLM, AI, HTTP, DevTools, API, Automation, Testing 🏢 Description: Svitla Systems Inc. is looking for a Senior Automation QA Engineer with AI for a full-time position (40 hours per week) in Kraków, Poland. Our client is is a British wholesale distributor. This role is for a Quality Assurance Engineer who is excited about testing AI-powered systems, working with non-deterministic outputs, and helping ensure reliability, correctness, and trust in a production-grade platform. You will be part of a newly formed engineering team and will have significant influence over testing strategy, quality standards, and tooling. We are looking for someone who can define and build the QA strategy from the ground up, including test frameworks, quality standards, and processes for validating both deterministic and AI-powered system behaviors. Office work is expected 2-3 days per week. Requirements : Strong experience in Java / Node.js (or TypeScript) for building and maintaining test automation frameworks and backend testing utilities. Ability to work effectively in environments with a high degree of uncertainty, taking a pragmatic, solution-oriented approach to problem-solving. Strong understanding of test design principles, with hands-on experience in automating tests for APIs, backend services, and front-end applications. Experience working with LLMs and AI tools to improve development and testing efficiency (e.g., code generation, test automation, debugging). Responsibilities : Develop and continuously enhance robust, scalable test automation frameworks using Java / Node.js (Playwright / REST Assured). Drive quality initiatives and testing strategies in collaboration with cross-functional teams, including development and product. Designing validation approaches for AI-driven and non-deterministic components, including defining test datasets, evaluation criteria, and acceptable quality thresholds. Own the execution and management of both manual and automated test cases. Investigate and troubleshoot issues using HTTP protocols and browser DevTools, ensuring precision in defect isolation and resolution. Take ownership of the testing lifecycle, proactively identifying opportunities to improve test coverage, reliability, and overall system quality. Continuously improve QA processes, tooling, and metrics to support scalable, production-grade AI systems. We offer US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, other activities Generous time off, including vacation, national holidays, sick leaves, and family days. Personalized learning programs tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team and a friendly, supportive community!

🏢 Summary: Full-time Senior Automation QA Engineer role focused on building and establishing quality and automation foundations for a new AI-driven, API-based application module. The position involves designing and maintaining automated tests across frontend, backend, and microservices layers, with strong emphasis on AI-assisted testing and CI/CD integration. Hybrid work model in Kraków with collaboration in a distributed engineering team. 🗂️ Requirements: Experience in frontend, backend, and API testing, Practical experience applying AI tools in testing and SDLC, Understanding of microservices-based systems, Knowledge of HTTP and RESTful APIs, Hands-on experience with REST Assured or Playwright, Experience integrating automated tests into CI/CD pipelines, Experience with GitHub Actions, Experience with service mocking and contract testing (WireMock, Pact), Experience with Java and Spring Boot environments, Experience with JavaScript-based frontend applications 📃 Skills: Java, Spring, JavaScript, PostgreSQL, REST, HTTP, Microservices, RESTAssured, Playwright, GitHubActions, WireMock, Pact, AI, CI/CD, Jira, Zephyr, xAPI, MFE, BFF 🏢 Description: Svitla Systems Inc. is looking for a Senior Automation QA Engineer with AI for a full-time position (40 hours per week) in Poland. Our client is one of the world's largest food retailers. The team is launching a greenfield project to build a new module for the app. One of the main objectives of this project is to utilize AI as much as possible across every part of the delivery - from design and development to testing, automation, and delivery. The team needs an Automation QA Engineer with experience using AI in a daily tester's job. As an AQA Engineer, you'll be a key contributor to defining and implementing the quality and automation foundations for a distributed, API‐driven system. You'll collaborate closely with engineers and product teams, ensuring quality is built in from the earliest stages and supported by robust automation and AI‐assisted testing. Office work is expected 2-3 days per week in Kraków. CET Working hours. Tech stack: Micro Frontends (MFE) with a Backend for Frontend (BFF)/ xAPI + Enterprise APIs. Backend: Java (Spring Boot). Frontend: JavaScript. Database: PostgreSQL. Requirements: Solid understanding of QA methodologies, with hands‐on experience in frontend, backend, and API testing. Strong interest and practical experience in applying AI tools to testing, automation, and SDLC optimization. Understanding of testing microservices‐based systems. Practical knowledge of HTTP and RESTful APIs. Hands‐on experience with test automation frameworks (like REST Assure, Playwright). Experience working with CI/CD pipelines, preferably GitHub Actions. Familiarity with service mocking and contract testing (WireMock, Pact). Nice to have: Experience with performance testing. Experience setting up or maintaining test environments. Basic cloud knowledge (Azure / AWS). Responsibilities: Collaborate early with the engineering team to influence requirements and define effective test strategies. Design, develop, and maintain automated tests for backend services, APIs, UI, and end‐to‐end flows. Validate service interactions and data flows across microservices and BFF layers. Integrate automated tests into CI/CD pipelines (GitHub Actions). Actively apply AI‐supported tools to improve test design, execution, and maintenance. Produce clear test reports and participate in test automation code reviews. Manage test cases and test cycles (Jira Zephyr). We offer: US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, and other activities. Generous time off, including vacation, national holidays, sick leaves, and family days. Personalized learning programs tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team and a friendly, supportive community!

🏢 Summary: Full-time Senior Automation QA Engineer role focused on building and leading the QA strategy for AI-powered and deterministic systems in a production-grade platform. The position involves designing and implementing scalable test automation frameworks, validating non-deterministic AI components, and ensuring overall system reliability and quality. Hybrid work model with significant ownership over testing processes, tools, and standards. 🗂️ Requirements: Strong experience in Java or Node.js or TypeScript, Experience building and maintaining test automation frameworks, Hands-on test automation for APIs, backend services, and front-end applications, Experience with Playwright or REST Assured, Experience working with LLMs and AI tools, Understanding of test design principles, Experience testing AI-driven and non-deterministic systems, Knowledge of HTTP protocols and browser DevTools 📃 Skills: Java, Node.js, TypeScript, Playwright, REST, RESTAssured, LLM, AI, HTTP, DevTools, API, Automation 🏢 Description: Svitla Systems Inc. is looking for a Senior Automation QA Engineer with AI for a full-time position (40 hours per week) in Kraków, Poland . Our client is a British wholesale distributor. This role is for a Quality Assurance Engineer who is excited about testing AI-powered systems, working with non-deterministic outputs, and helping ensure reliability, correctness, and trust in a production-grade platform. You will be part of a newly formed engineering team and will have significant influence over testing strategy, quality standards, and tooling. We are looking for someone who can define and build the QA strategy from the ground up, including test frameworks, quality standards, and processes for validating both deterministic and AI-powered system behaviors. Hybrid mode with 2–3 days per week working from the office in Kraków. Requirements: Strong experience in Java / Node.js (or TypeScript) for building and maintaining test automation frameworks and backend testing utilities. Ability to work effectively in environments with a high degree of uncertainty, taking a pragmatic, solution-oriented approach to problem-solving. Strong understanding of test design principles, with hands-on experience in automating tests for APIs, backend services, and front-end applications. Experience working with LLMs and AI tools to improve development and testing efficiency (e.g., code generation, test automation, debugging). Responsibilities: Develop and continuously enhance robust, scalable test automation frameworks using Java / Node.js (Playwright / REST Assured). Drive quality initiatives and testing strategies in collaboration with cross-functional teams, including development and product. Designing validation approaches for AI-driven and non-deterministic components, including defining test datasets, evaluation criteria, and acceptable quality thresholds. Own the execution and management of both manual and automated test cases. Investigate and troubleshoot issues using HTTP protocols and browser DevTools, ensuring precision in defect isolation and resolution. Take ownership of the testing lifecycle, proactively identifying opportunities to improve test coverage, reliability, and overall system quality. Continuously improve QA processes, tooling, and metrics to support scalable, production-grade AI systems. We offer: US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in the workspace, either remote or in our welcoming office. Comprehensive medical insurance after one month. MultiSport card with access to 2500 sports facilities all over Poland Bonuses for recommendations of new employees. Bonuses for article writing, public talks, and other activities. 15 vacation days, 10 national holidays, 10 sick leaves, and family days off. Personalized learning program tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Welcome and anniversary presents, gifts for children, and more. Regular corporate events and meetups. Awesome team, friendly and supportive community! Ref #4832

🏢 Summary: Full-time Senior Computer Vision Engineer role focused on building high-performance C++ SDKs and deploying machine learning models across edge and cloud hardware platforms. The position bridges research and production, emphasizing model optimization, hardware integration, and automated deployment pipelines. It involves performance tuning and benchmarking across Qualcomm, Intel, and NVIDIA environments. 🗂️ Requirements: Expert knowledge of C++14/17/20, Strong proficiency in Python for automation and data processing, Experience with Docker, Hands-on experience with SNPE or QNN or OpenVino or TensorRT or TensorFlow Lite, Experience with multi-threading and memory management, Ability to deploy and optimize ML models on Qualcomm SoCs, Intel CPUs, or NVIDIA GPUs, Bachelor’s or Master’s degree in Computer Science, Electronic Engineering, or related field 📃 Skills: C++, Python, Docker, SNPE, QNN, OpenVino, TensorRT, TensorFlow, STL, CI/CD, CNN, Transformers, PTQ, QAT 🏢 Description: Svitla Systems Inc. is looking for a Senior Computer Vision Engineer for a full-time position (40 hours per week) in Europe. In this role, you will bridge the gap between high-level machine learning research and high-performance production environments. You will be responsible for building robust SDKs, automating deployment pipelines, and ensuring models run efficiently across a diverse hardware landscape, from edge SoCs to powerful cloud GPUs. Requirements Deep understanding of C++14/17/20, including STL, memory management, and multi-threading. Strong ability to write clean, maintainable Python for automation, and data processing. Familiarity with Docker for creating consistent development and deployment environments. Hands-on experience with at least one of the following frameworks: SNPE/QNN (Qualcomm); OpenVino (Intel); TensorRT (Nvidia); TensorFlow Lite. Bachelor's or master's degree in Computer Science, Electrotonic Engineering, or related technical field. Nice to have Understanding Deep Learning fundamentals (CNNs, Transformers, Object Detection). Experience with model conversion and quantization (i.e. PTQ, QAT). Responsibilities SDK Development (C++): Design, develop, and maintain high-performance software development kits (SDKs) to expose computer vision capabilities to end-users and internal products. Model Deployment and Integration: Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs. Performance Optimization: Use hardware-specific toolkits to optimize model throughput without sacrificing accuracy. Evaluation & Benchmarking: Conduct rigorous testing and evaluation of models on target hardware to ensure performance metrics meet expectations. Automation: Build and maintain automation scripts and CI/CD pipelines using Python to streamline the model testing and deployment life cycle. We offer US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, and other activities. Generous time off, including vacation, national holidays, sick leaves, and family days. Personalized learning programs tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team and a friendly, supportive community!

🏢 Summary: Full-time Senior QA Engineer role focused primarily on manual testing of a React Native mobile application integrated with hardware devices. The position involves validating mobile features, hardware data processing, and CI/CD pipelines while collaborating with development and hardware teams. Limited automation tasks may be required, mainly maintaining existing E2E tests. 🗂️ Requirements: 4+ years of manual testing experience, Strong experience in manual mobile application testing, Understanding of API-based systems and data flows, Basic knowledge of Bluetooth and MQTT from testing perspective, Experience testing on real devices, Ability to read and analyze CI/CD build logs, Experience with regression testing, Ability to maintain E2E tests, Professional English proficiency 📃 Skills: ManualTesting, MobileTesting, ReactNative, iOS, Android, API, Bluetooth, MQTT, CI/CD, Bitrise, Detox, TypeScript, JavaScript, macOS 🏢 Description: Svitla Systems Inc. is looking for a Senior QA Engineer for a full-time position (40 hours per week) in Europe. Our client is a company that creates interactive games, quizzes, and adventures specifically designed for children. We're looking for a tester who's comfortable focusing on mostly manual testing for now, with limited automated testing possible (there is no environment to support it yet). Requirements: 4+ years of experience in manual testing (AQA experience is a plus). Experience in small to medium companies preferred, not in startups. Strong understanding of manual mobile application testing. Understanding of API-based systems and data flows (polling, backend interactions). Basic understanding of Bluetooth and MQTT from a testing perspective. Experience working with real devices. Expertise in reading and understanding CI/CD build logs. Excellent written and spoken English. Excellent communication skills and initiative to report product/feature/software issues immediately. Ability to self-structure your work in an ambiguous environment. Sharp attention to detail and solid communication skills. Curiosity and comfort digging into unfamiliar parts of the product. Nice to have: Basic knowledge of TypeScript/JavaScript. Basic understanding of APIs or testing automation concepts. Experience triggering builds and running tests locally on macOS. Previous experience testing products with hardware integration. Responsibilities: Perform manual testing of a React Native mobile application (iOS / Android). Validate user-facing insights generated from hardware data and displayed in the app after processing. Use a real hardware device (Bluetooth box) to generate test data for QA purposes. Execute regression testing and verify new features before release. Analyze CI/CD pipeline failures in Bitrise and review build/test logs. Collaborate closely with developers and a separate hardware-focused team. Maintain and adjust existing E2E tests (Detox) when minor issues are identified. Work independently, organize your own testing focus, and adapt as requirements evolve. Verify fixes and keep track of riskier areas. Mostly manually test the company’s music box features and functions. Spot, reproduce, and clearly describe bugs. Occasionally prepare automated testing scenarios (rarely). We offer US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, other activities Generous time off, including vacation, national holidays, sick leaves, and family days. Personalized learning programs tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team and a friendly, supportive community!

🏢 Summary: Full-time Senior MLOps Engineer role focused on designing and managing Azure-based AI/ML infrastructure for global SaaS environments. The position involves building scalable cloud platforms, optimizing CI/CD pipelines, automating ML lifecycle processes, and leading enterprise AI solutions using Azure services. The role combines hands-on DevOps, cloud engineering, and AI platform development in a rapidly evolving environment. 🗂️ Requirements: Solid experience designing and managing infrastructure for AI/ML or HPC workloads, Proven experience managing and optimizing CI/CD for Azure-based SaaS applications, Hands-on experience with Azure DevOps and standard DevOps tools, Strong scripting skills in PowerShell or Bash, Experience with Terraform or similar configuration management tools, Working knowledge of version control systems, Experience in agile software development environments, Knowledge of SQL and NoSQL databases, Experience with web server configuration (IIS or Tomcat), Understanding of networking technologies (switches, routers, firewalls, VPNs), Strong understanding of security principles, Bachelor’s Degree in Computer Science or related field 📃 Skills: Azure, AzureDevOps, PowerShell, Bash, Terraform, Git, SQL, NoSQL, IIS, Tomcat, Docker, TensorFlow, PyTorch, Scikit-learn, ARM, Ansible, AzureCLI, AzureOpenAI, AzureAIFoundry, AzureDatabricks, AzureDataFactory, AzureServiceBus, AzureRedisCache, AzureMonitoring, NewRelic, Rapid7, CI/CD, YAML 🏢 Description: Svitla Systems Inc. is looking for a Senior MLOps Engineer with ML/AI for Azure for a full-time position (40 hours per week) in Poland. Our client is a leading global provider that gathers information and reports to enhance the environmental and social impacts on the business. You’ll be part of a global team supporting multiple SaaS environments that help make the world a safer place. The team uses Azure as the core, but hosts on various platforms due to specific needs and the rapid pace of development and acquisition. The environment is rapidly shifting from IaaS to PaaS to serverless, with new AI/ML components integrated. So you’ll need to apply your current skill sets and learn new things daily to push the business forward. While you’ll ultimately need a diversity of expert-level skills to succeed, having a deep understanding and experience in just a couple of areas (monitoring, scripting, automation tools, etc.) may get you in the door to a great career. Requirements: Solid experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads. Proven success in managing and optimizing CI/CD for an Azure-based SaaS application. Hands-on experience with standard DevOps tools, including Azure DevOps. Expertise in scripting with at least PowerShell or Bash. Understanding of configuration management tools like Terraform. Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads. Working knowledge of version control/source code management tools. Experience working in an agile software development life cycle. Knowledge of databases, including SQL and NoSQL Strong knowledge of web server configuration and management, such as IIS or Tomcat. Familiarity with local and wide area networking and associated technologies, e.g., switches, routers, firewalls, VPNs. Strong understanding of security principles. Bachelor’s Degree in Computer Science or a similar area of study. Experience working in a technical, fast-paced environment with high demand and high standards. Ability to assimilate information quickly under pressure. Excellent communication and collaboration skills. Ability to communicate effectively with multiple disciplines. Excellent analytical skills with the ability to drive reliability improvements. Strong planning skills to ensure business expectations are met, and projects are delivered on time. Nice to have: Understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn, and their deployment in production environments. Familiarity with cloud-based networking (VNETs, NSGs, Route Tables, Hub/Spoke-based architecture, Private Endpoints, etc.). Strong understanding of CI/CD (YAML and Classic Pipelines). Experience with PaaS (Web Apps, Function Apps, Storage Accounts, Key Vaults, Azure Redis Cache, Azure Service Bus, API Management, Azure Data Factory, Azure Databricks). Experience in monitoring (New Relic, LogEntries, Rapid7, Azure Monitoring, etc). Some experience with containers/Docker, either for a microservice-based architecture or Service Oriented, etc. Familiarity with Git, ARM, Terraform, Ansible, Azure CLI, or similar. Responsibilities: Support application infrastructure to ensure the platform is optimized for performance and reliability. Build and maintain supporting infrastructure for cloud environments and applications. Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full ML development life cycle. Identify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectiveness. Building and Managing enterprise AI solutions using Azure AI Foundry & Azure's integrated platform (Azure OpenAI, AI Search, Prompt Flow), Use a wide range of Azure resources to implement scalable, reliable, and cost-efficient services. Work side by side with your engineers, guiding critical projects, using your subject matter expertise to solve complex problems. Perform and automate system administration services, including installation, configuration, maintenance, and disaster recovery Identify system-level issues related to OS configuration and virtual hardware bottlenecks. Provide automation, auditing, and other tooling for security, compliance, and resource usage. Monitor and improve processes for all deployments. Take ownership of operational excellence to establish and maintain business focused KPI's. Use these metrics not only as a basis for positive transformation, but also as a visible representation of your team's success. Maintain and take ownership of your tasks each sprint, ensuring time worked is logged, and details are added. We offer: US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in the workspace, either remote or in our welcoming office. Comprehensive medical insurance after one month. MultiSport card with access to 2500 sports facilities all over Poland Bonuses for recommendations of new employees. Bonuses for article writing, public talks, and other activities. 15 vacation days, 10 national holidays, 10 sick leaves, and family days off. Personalized learning program tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Welcome and anniversary presents, gifts for children, and more. Regular corporate events and meetups. Awesome team, friendly and supportive community! Ref #5102

🏢 Summary: Full-time Senior Back End Engineer role with an AI/LLM focus, responsible for building scalable backend systems and leading the integration of AI capabilities into products and engineering workflows. The position combines hands-on backend development with designing MCP servers, RAG pipelines, and AI-driven automation. It requires driving advanced adoption of LLMs and AI tooling across the development lifecycle. 🗂️ Requirements: 5+ years backend or full-stack software engineering experience, Proficiency in at least one backend language: Python, Go, Node.js, TypeScript, or Java, Experience designing and building production REST or GraphQL APIs, Experience with distributed systems, Strong knowledge of relational databases such as PostgreSQL or MySQL, Experience with caching, queues, and event-driven architectures, Experience with AWS, GCP, or Azure, Experience with CI/CD, containerization, and infrastructure as code, Hands-on experience building or integrating MCP servers, Experience implementing RAG pipelines with embeddings and retrieval logic, Experience integrating LLM APIs in production environments, Experience building AI agents or agentic workflows, Experience with prompt engineering and LLM evaluation, Experience fine-tuning or customizing models, Experience automating testing, code review, or deployment using AI 📃 Skills: Python, Go, Node.js, TypeScript, Java, REST, GraphQL, PostgreSQL, MySQL, AWS, GCP, Azure, CI/CD, Docker, Kubernetes, MCP, RAG, LLM, OpenAI, Anthropic, LangChain, LangGraph, AutoGen, Pinecone, Weaviate, pgvector, Chroma 🏢 Description: Svitla Systems Inc. is looking for a Senior Back End Engineer with AI/LLM for a full-time position (40 hours per week) in Europe. Our client generates opportunities for innovation and enhances time and cost efficiencies for MVNOs, mobile operators, and businesses providing connectivity within the telecom ecosystem. You will not only deliver production-grade backend and full-stack systems, but also help lead the organization's adoption of progressive AI tooling and engineering practices. It is a hands-on engineering role with an AI-forward mandate: we want someone who pushes the team beyond passive AI use to build, integrate, and operationalize AI capabilities across our codebase, workflows, and products. Requirements 5+ years of experience in software engineering in backend or full-stack roles. Strong knowledge of at least one modern backend language (Python, Go, Node.js/TypeScript, Java, or similar). Experience designing and building production REST/GraphQL APIs and distributed systems. Extensive knowledge of databases (PostgreSQL, MySQL, or similar) and familiarity with caching, queues, and event-driven architectures. Knowledge of cloud environment (AWS, GCP, or Azure) and modern DevOps practices (CI/CD, containerization, infrastructure as code). Have experience not just using AI (as in using Claude, Cursor, and Codex), but also building an MCP server, understanding of the RAG and LLM, and LPM that can help automate the testing, etc. Strong written and verbal communication; able to mentor and influence peers. Hands-on experience with AI/LLM engineering, including at least several of the following: Building or integrating with MCP servers; Implementing RAG pipelines (embeddings, vector databases, retrieval logic); Working with LLM APIs (OpenAI, Anthropic, Google) in production; Building AI agents or agentic workflows (LangChain, LangGraph, AutoGen, or similar); Prompt engineering and LLM evaluation; Fine-tuning or model customization; Active, sophisticated use of AI coding assistants (Claude Code, Cursor, Codex, GitHub Copilot) - able to articulate workflows, limits, and best practices; Experience automating engineering processes (testing, code review, deployment) with AI. Nice to have Open-source contributions to AI/LLM tooling or the MCP ecosystem. Familiarity with vector databases (Pinecone, Weaviate, pgvector, Chroma). Background in telecommunications, networking, or SaaS infrastructure Familiarity with model evaluation frameworks and AI observability tools. Bachelor's or Master's in Computer Science or a related field. Responsibilities Design, build, and maintain scalable backend services and APIs supporting the platform. Contribute to full-stack feature development, collaborating with frontend, infrastructure, and product teams. Write clean, well-tested, production-ready code with strong attention to performance, reliability, and maintainability. Participate in architecture decisions, code reviews, and technical planning. Lead by example in advanced AI tool adoption — go beyond using Claude, Cursor, and Codex to shape how the team uses them actively. Design and build MCP servers to expose internal data sources, APIs, and tools to LLMs and AI agents. Architect and implement RAG systems for internal and product-facing use cases. Apply working knowledge of LLMs and LPMs to evaluate, fine-tune, and integrate models into engineering workflows. Build AI-driven automation for testing, code review, documentation, and operational workflows. Mentor engineers on effective AI tool usage, prompt engineering, and AI-augmented development practices. Evaluate emerging AI tools, frameworks, and platforms; recommend adoption strategies. We offer US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, and other activities. Generous time off, including vacation, national holidays, sick leaves, and family days. Personalized learning programs tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team and a friendly, supportive community!

🏢 Summary: Full-time Middle/Senior QA Engineer role focused primarily on manual testing of a React Native mobile app integrated with hardware devices. The position involves validating mobile features, hardware-generated data, and CI/CD pipelines while collaborating with development and hardware teams. Limited automation is included, with occasional maintenance of existing E2E tests. 🗂️ Requirements: 4+ years of manual testing experience, Strong experience in manual mobile application testing, Understanding of API-based systems and data flows, Basic knowledge of Bluetooth and MQTT from testing perspective, Experience testing on real devices, Ability to read and analyze CI/CD build logs, Professional English proficiency, Experience in small to medium companies (non-startup) 📃 Skills: ManualTesting, MobileTesting, ReactNative, iOS, Android, API, Bluetooth, MQTT, CI/CD, Bitrise, Detox, TypeScript, JavaScript, macOS 🏢 Description: Svitla Systems Inc. is looking for a Middle/Senior QA Engineer for a full-time position (40 hours per week) in Europe. Our client is a company that creates interactive games, quizzes, and adventures specifically designed for children. We're looking for a tester who's comfortable focusing on mostly manual testing for now, with limited automated testing possible (there is no environment to support it yet). Requirements: 4+ years of experience in manual testing (AQA experience is a plus). Experience in small to medium companies preferred, not in startups. Strong understanding of manual mobile application testing. Understanding of API-based systems and data flows (polling, backend interactions). Hands on experience with Bluetooth and MQTT from a testing perspective. Experience working with real devices. Expertise in reading and understanding CI/CD build logs. Excellent written and spoken English. Excellent communication skills and initiative to report product/feature/software issues immediately. Ability to self-structure your work in an ambiguous environment. Sharp attention to detail and solid communication skills. Curiosity and comfort digging into unfamiliar parts of the product. Nice to have: Basic knowledge of TypeScript/JavaScript. Basic understanding of APIs or testing automation concepts. Experience triggering builds and running tests locally on macOS. Previous experience testing products with hardware integration. Responsibilities: Perform manual testing of a React Native mobile application (iOS / Android). Validate user-facing insights generated from hardware data and displayed in the app after processing. Use a real hardware device (Bluetooth box) to generate test data for QA purposes. Execute regression testing and verify new features before release. Analyze CI/CD pipeline failures in Bitrise and review build/test logs. Collaborate closely with developers and a separate hardware-focused team. Maintain and adjust existing E2E tests (Detox) when minor issues are identified. Work independently, organize your own testing focus, and adapt as requirements evolve. Verify fixes and keep track of riskier areas. Mostly manually test the company’s music box features and functions. Spot, reproduce, and clearly describe bugs. Occasionally prepare automated testing scenarios (rarely). We offer: US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, and other activities. Generous time off, including vacation, national holidays, sick leaves, and family days. Personalized learning programs tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team and a friendly, supportive community! Ref #5117

🏢 Summary: Full-time Senior/Staff Full-Stack Engineer role focused on building an AI-enabled operational monitoring and decision-support platform for cold-chain logistics. The position involves hands-on architecture design, backend and frontend development, and leadership in creating scalable, event-driven AWS cloud systems. The engineer will shape technical standards, integrate IoT and analytics data, and deliver secure, high-availability applications in an evolving, early-stage environment. 🗂️ Requirements: Bachelor's degree in Computer Science, Computer Engineering, or similar, 8+ years of software engineering experience, Strong proficiency in Python for backend and serverless development, Commercial experience with Angular and/or React, Experience with high-load and scalable systems, Hands-on experience with AWS Amplify, Experience designing and consuming GraphQL and RESTful APIs, Deep knowledge of AWS services (Lambda, API Gateway, DynamoDB, S3, Step Functions, CloudWatch, Secrets Manager), Experience with relational and NoSQL databases, Experience with event-driven architectures and messaging systems, Experience with caching technologies, Understanding of application security (OAuth2, JWT, API security best practices), Experience with backend and frontend testing frameworks, Experience with Infrastructure as Code and Docker, Experience designing and maintaining CI/CD pipelines, Knowledge of HIPAA or HITRUST compliance requirements 📃 Skills: Python, Angular, React, TypeScript, AWS, Lambda, FastAPI, API Gateway, DynamoDB, S3, StepFunctions, CloudWatch, SecretsManager, AppSync, GraphQL, REST, PostgreSQL, SQS, SNS, EventBridge, Kafka, Redis, ElastiCache, OAuth2, JWT, Cognito, pytest, Jasmine, Karma, Cypress, Playwright, Terraform, CloudFormation, CDK, Docker, GitHubActions, CodePipeline, Amplify 🏢 Description: Svitla Systems Inc. is looking for a Senior/Staff Full-Stack Engineer(Python/Angular/React) for a full-time position (40 hours per week) in Europe. Our client is a global developer of technology platforms that develop temperature control products. You'll serve as the anchor engineer for a new AI-enabled operational monitoring and decision-support platform in the cold-chain shipping space. It is a senior, hands-on leadership role for a builder who can help shape the initial architecture, define engineering standards, and lead the technical implementation of a platform that integrates IoT telemetry, shipment workflow data, operational analytics, and future AI-driven capabilities. It's not a maintenance role, nor is it a narrowly defined feature factory position. This individual must be comfortable operating in an early-stage environment where requirements are evolving, business priorities are closely tied to real-world operational outcomes, and the engineering team must help translate business and logistics workflows into scalable software systems. The right candidate will be equally comfortable discussing architecture with technical stakeholders, refining platform direction with business leadership, building backend APIs, and guiding the structure of internal operational dashboards and exception-management tools. Requirements: Bachelor's degree in Computer Science, Computer Engineering, or similar 8+ years of software engineering experience with meaningful depth in both backend and frontend development. You should be strong in at least one side and comfortable contributing to the other. Strong proficiency in Python for backend and serverless development (Lambda, FastAPI, or similar). Experience with front end technologies (Angular and/or React) Commercial experience with high-load systems and scaling systems Hands-on experience with AWS Amplify for hosting, authentication, and connecting frontend applications to cloud services. Strong experience designing, building, and consuming both GraphQL APIs (AWS AppSync preferred) and RESTful APIs. Understanding of query optimization, subscriptions, versioning, and documentation (OpenAPI/Swagger). Deep knowledge of AWS services, including Lambda, API Gateway, DynamoDB, S3,Step Functions, CloudWatch, and Secrets Manager. Experience with relational and NoSQL databases (e.g., PostgreSQL, DynamoDB). Experience building event-driven systems using message queues and streaming services (SQS, SNS, EventBridge, Kafka). Familiarity with caching layers like Redis or ElastiCache. Solid understanding of security across the stack, including OAuth 2.0, JWT, API rat limiting, input validation, XSS prevention, CSRF protection, and secure token storage on the client side. Experience building test suites on both sides of the stack. Backend testing with pytest or similar, frontend testing with Jasmine, Karma, Cypress, Playwright, or similar. Experience with frontend performance profiling, Core Web Vitals optimization, and bundle analysis is a plus. Experience collaborating with stakeholders to build data pipelines, or integrate AI-driven features into production systems. Working knowledge of HIPAA or HITRUST compliance requirements for healthcare applications, including audit logging, PHI handling, data encryption, and secure session management. Comfortable with Infrastructure as Code (Terraform, CloudFormation, or CDK) and containerization (Docker). Experience with CI/CD pipeline design and implementation (GitHub Actions, AWS CodePipeline, Amplify CI/CD, or similar). Strong analytical and problem-solving skills with a focus on delivering polished user experiences backed by reliable infrastructure. Excellent communication skills and experience working in Agile environments. Responsibilities: Design, develop, and maintain fullstack applications with Python on the backend and Angular with TypeScript on the frontend, all deployed on AWS. Build and optimize serverless backend services using AWS Lambda, API Gateway, DynamoDB, S3, and Step Functions. Develop responsive, accessible frontend interfaces using Angular, with AWS Amplify for hosting, authentication (Cognito), and API integration. Design and integrate both GraphQL (AppSync) and RESTful APIs, handling everythin from backend implementation to frontend consumption, ensuring efficient data fetching, error handling, and state management. Architect data models, database schemas, and service-to-service communication patterns for complex business domains. Build and maintain event-driven architectures using SQS, SNS, EventBridge, o similar messaging services to support reliable, decoupled system communication. Implement caching strategies on both the backend (Redis, ElastiCache) and frontend (query caching, local state) to improve performance across the stack. Design and implement secure authentication and authorization flows using OAuth 2.0, JWT, and AWS Cognito, covering both server-side validation and client-side token management. Own features end-to-end, from database schema and API design through to the Angular components and user interactions that bring them to life. Collaborate closely with product managers, backend engineers, frontend engineers, and data science/ML teams to define system architecture, UI/UX requirements, and technical approach. Develop scalable, multi-tier cloud architectures with a focus on high availability and disaster recovery. Implement and maintain CI/CD pipelines for both frontend and backend deployments using tools like GitHub Actions, AWS CodePipeline, Amplify CI/CD, or similar. Build and maintain comprehensive test suites across the stack, including backend unit and integration tests (pytest) and frontend testing (Jasmine, Karma, Cypress, or Playwright). Establish and maintain structured logging, monitoring dashboards, error tracking, and alerting to support production reliability and fast incident response across both backend services and frontend applications. Participate in on-call rotations and lead incident response when production issues arise, including root cause analysis and follow-up improvements. Conduct code reviews and mentor junior engineers, fostering a culture of continuous learning and quality. Design and integrate AI-driven solutions within cloud infrastructure, working closely with stakeholders, build data pipelines, and create intuitive interfaces for AI-powered features. Implement cost optimization strategies and FinOps practices to manage cloud spending effectively. Stay current with emerging AWS services, Angular ecosystem updates, frontend tooling, and industry trends to continuously improve the technology stack. Document development processes, system architecture, component libraries, and key decisions for knowledge sharing. We offer: US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, and other activities. Generous time off, including vacation, national holidays, sick leaves, and family days. Personalized learning programs tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team and a friendly, supportive community!

🏢 Summary: Full-time Senior/Staff Full-Stack Engineer role focused on building and leading the architecture of an AI-enabled operational monitoring platform in the cold-chain logistics domain. The position involves hands-on development with Python and Angular on AWS, designing scalable, event-driven, and serverless systems. The engineer will define technical standards, implement cloud-native solutions, and integrate IoT, analytics, and AI-driven capabilities. 🗂️ Requirements: Bachelor’s degree in Computer Science, Computer Engineering, or similar, 8+ years of full-stack software engineering experience, Strong proficiency in Python for backend and serverless development, Solid proficiency in Angular (v14+) and TypeScript, Experience with AWS Amplify for hosting and authentication, Experience designing and consuming GraphQL and REST APIs, Deep knowledge of AWS services (Lambda, API Gateway, DynamoDB, S3, Step Functions, CloudWatch, Secrets Manager), Experience with relational and NoSQL databases, Experience building event-driven systems with messaging/streaming services, Familiarity with caching systems, Knowledge of OAuth 2.0 and JWT-based authentication, Experience building backend and frontend test suites, Experience with Infrastructure as Code and containerization, Experience designing and implementing CI/CD pipelines, Working knowledge of HIPAA or HITRUST compliance 📃 Skills: Python, Angular, TypeScript, RxJS, AWS, Lambda, FastAPI, Amplify, AppSync, GraphQL, REST, API Gateway, DynamoDB, S3, StepFunctions, CloudWatch, SecretsManager, PostgreSQL, SQS, SNS, EventBridge, Kafka, Redis, ElastiCache, OAuth2, JWT, Cognito, pytest, Jasmine, Karma, Cypress, Playwright, Terraform, CloudFormation, CDK, Docker, GitHubActions, CodePipeline 🏢 Description: Svitla Systems Inc. is looking for a Senior/Staff Full-Stack Engineer(Python/Angular) for a full-time position (40 hours per week) in Europe . Our client is a global developer of technology platforms that develop temperature control products. You'll serve as the anchor engineer for a new AI-enabled operational monitoring and decision-support platform in the cold-chain shipping space. It is a senior, hands-on leadership role for a builder who can help shape the initial architecture, define engineering standards, and lead the technical implementation of a platform that integrates IoT telemetry, shipment workflow data, operational analytics, and future AI-driven capabilities. It's not a maintenance role, nor is it a narrowly defined feature factory position. This individual must be comfortable operating in an early-stage environment where requirements are evolving, business priorities are closely tied to real-world operational outcomes, and the engineering team must help translate business and logistics workflows into scalable software systems. The right candidate will be equally comfortable discussing architecture with technical stakeholders, refining platform direction with business leadership, building backend APIs, and guiding the structure of internal operational dashboards and exception-management tools. This role requires working hours with overlap till 7:00 PM-8:00 PM CET Requirements : Bachelor's degree in Computer Science, Computer Engineering, or similar 8+ years of software engineering experience with meaningful depth in both backend and frontend development. You should be strong in at least one side and comfortable contributing to the other. Strong proficiency in Python for backend and serverless development (Lambda, FastAPI, or similar). Experience with front end technologies (Angular and/or React) Commercial experience with high-load systems and scaling systems Hands-on experience with AWS Amplify for hosting, authentication, and connecting frontend applications to cloud services. Strong experience designing, building, and consuming both GraphQL APIs (AWS AppSync preferred) and RESTful APIs. Understanding of query optimization, subscriptions, versioning, and documentation (OpenAPI/Swagger). Deep knowledge of AWS services, including Lambda, API Gateway, DynamoDB, S3,Step Functions, CloudWatch, and Secrets Manager. Experience with relational and NoSQL databases (e.g., PostgreSQL, DynamoDB). Experience building event-driven systems using message queues and streaming services (SQS, SNS, EventBridge, Kafka). Familiarity with caching layers like Redis or ElastiCache. Solid understanding of security across the stack, including OAuth 2.0, JWT, API rat limiting, input validation, XSS prevention, CSRF protection, and secure token storage on the client side. Experience building test suites on both sides of the stack. Backend testing with pytest or similar, frontend testing with Jasmine, Karma, Cypress, Playwright, or similar. Experience with frontend performance profiling, Core Web Vitals optimization, and bundle analysis is a plus. Experience collaborating with stakeholders to build data pipelines, or integrate AI-driven features into production systems. Working knowledge of HIPAA or HITRUST compliance requirements for healthcare applications, including audit logging, PHI handling, data encryption, and secure session management. Comfortable with Infrastructure as Code (Terraform, CloudFormation, or CDK) and containerization (Docker). Experience with CI/CD pipeline design and implementation (GitHub Actions, AWS CodePipeline, Amplify CI/CD, or similar). Strong analytical and problem-solving skills with a focus on delivering polished user experiences backed by reliable infrastructure. Excellent communication skills and experience working in Agile environments. Responsibilities: Design, develop, and maintain fullstack applications, all deployed on AWS. Build and optimize serverless backend services using AWS Lambda, API Gateway, DynamoDB, S3, and Step Functions. Develop responsive, accessible frontend interfaces using Angular, with AWS Amplify for hosting, authentication (Cognito), and API integration. Design and integrate both GraphQL (AppSync) and RESTful APIs, handling everythin from backend implementation to frontend consumption, ensuring efficient data fetching, error handling, and state management. Architect data models, database schemas, and service-to-service communication patterns for complex business domains. Build and maintain event-driven architectures using SQS, SNS, EventBridge, o similar messaging services to support reliable, decoupled system communication. Implement caching strategies on both the backend (Redis, ElastiCache) and frontend (query caching, local state) to improve performance across the stack. Design and implement secure authentication and authorization flows using OAuth 2.0, JWT, and AWS Cognito, covering both server-side validation and client-side token management. Own features end-to-end, from database schema and API design through to the Angular components and user interactions that bring them to life. Collaborate closely with product managers, backend engineers, frontend engineers, and data science/ML teams to define system architecture, UI/UX requirements, and technical approach. Develop scalable, multi-tier cloud architectures with a focus on high availability and disaster recovery. Implement and maintain CI/CD pipelines for both frontend and backend deployments using tools like GitHub Actions, AWS CodePipeline, Amplify CI/CD, or similar. Build and maintain comprehensive test suites across the stack, including backend unit and integration tests (pytest) and frontend testing (Jasmine, Karma, Cypress, or Playwright). Establish and maintain structured logging, monitoring dashboards, error tracking, and alerting to support production reliability and fast incident response across both backend services and frontend applications. Participate in on-call rotations and lead incident response when production issues arise, including root cause analysis and follow-up improvements. Conduct code reviews and mentor junior engineers, fostering a culture of continuous learning and quality. Design and integrate AI-driven solutions within cloud infrastructure, working closely with stakeholders, build data pipelines, and create intuitive interfaces for AI-powered features. Implement cost optimization strategies and FinOps practices to manage cloud spending effectively. Stay current with emerging AWS services, Angular ecosystem updates, frontend tooling, and industry trends to continuously improve the technology stack. Document development processes, system architecture, component libraries, and key decisions for knowledge sharing. We offer US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, other activities Generous time off, including vacation, national holidays, sick leaves, and family days. Personalized learning programs tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team and a friendly, supportive community!