System Qa Jobs

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Day-to-day work with various kind of Network type devices; Create, maintain and execute automated test scripts; Identify and report bugs, ensuring proper follow-up; Perform front-end and back-end testing throughout the entire QA process; Analyse release notes, project documentation and other project artefacts to identify new or update existing test scenarios. Requirements: 3+ years AQA experience in similar position; Jenkins pipelines + DSL (Groovy); Python; Bash scripting; General understanding in Network (Internet, WiFi, VLAN, Firewall, VPN etc.); Strong understanding in MQA testing process; Experience with AI tools - Claude, Codex, etc; Fluent in English and Lithuanian. Nice to have: JavaScript; System Administration; DevOps (CI/CD setup & administration, Terraform scripts); Network administration. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of people across the globe; Opportunity to leverage and integrate modern AI tools into product development; Access to all Ubiquiti products; Medical insurance; Hybrid approach - office in Kaunas; Flexible work hours; Compensation package matching global standards, including competitive salary depending on your qualification and background (starting from 2500 up to 5000 Euro gross

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. About the Role This Role is primarily for API/integration testing, which could involve automating physical device setup Play a significant role in ensuring product quality Create and maintain various test environments, both virtual and physical Perform all means of testing (manual/automated, functional/non-functional, black-box/white-box) AI solution implementation: Design, test, and implement AI-powered solutions for internal processes and customer-facing products. Knowledge and Experiences 3+ years of QA Automation experience 2+ years of experience with Python Strong attention to detail Ability to work in a team and independently Experience with Linux/Bash Experience with CI/CD tools like Jenkins Experience with AI tools - Claude, Codex, etc. Fluent in English Nice to have System/ Network Administration IT automation with Docker, ansible, etc. Experience with Selenium, Spring, Gradle, AWS, Java Performance & load testing experience Networking experience (Internet, WiFi, VLAN, Firewall, VPN etc.) Clean code Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of people across the globe; Opportunity to leverage and integrate modern AI tools into product development; Access to all Ubiquiti products; Private Medical insurance (UoP only); Hyb

Axsome Therapeutics is a biopharmaceutical company leading a new era in the treatment of central nervous system (CNS) conditions. We deliver scientific breakthroughs by identifying critical gaps in care and develop differentiated products with a focus on novel mechanisms of action that enable meaningful advancements in patient outcomes. Our industry-leading neuroscience portfolio includes FDA-approved treatments for major depressive disorder, agitation associated with dementia due to Alzheimer’s disease, excessive daytime sleepiness associated with narcolepsy and obstructive sleep apnea, and migraine, as well as multiple novel product candidates addressing a broad range of serious neurological and psychiatric conditions that impact over 150 million people in the United States. Together, we are on a mission to solve some of the brain’s biggest problems so patients and their loved ones can flourish. For more information, please visit us at www.axsome.com and follow us on LinkedIn and X. About This Role Axsome Therapeutics is seeking a Manager/Senior Manager, QA Operations, responsible for ensuring compliance with Good Manufacturing Practices (GMP) with all work performed. The Manager/Senior Manager, QA Operations will contribute towards the enhancement of Axsome quality processes and ensures appropriate QA oversight of suppliers (CDMOs and GMP-related service providers) contracted for the development, manufacturing, testing, shipment and/or distribution of API and finished products to assure compliance with company procedures, FDA/EEA/Health Canada regulations and assists with tasks necessary to achieve department and/or company goals. This role is based at Axsome’s HQ in New York City with an on-site requirement of at least three days per week. We are unable to consider candidates who are looking for fully remote roles. Job Responsibilities and Duties include, but are not limited to, the following: Assist with development and/or implementation of corporate qual

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We’re growing incredibly fast, and so is our fleet of our products like cameras, access control, alarms, sensors. A QA engineer at Verkada owns the behavior of our products in the field and is responsible for keeping them running reliably - key to a company like ours! The QA Engineer, and their team of reliability engineers, verify new code releases against a set of test cases, grow the test suite, monitor devices in the field, and are responsible for rolling out new updates - in short, everything related to keeping deployed devices running smoothly. What You'll Do Define / create automated test system architecture for embedded systems like Access Control, Cameras, Sensors, Alarms etc. Take part in choosing technologies used in automated test system Together with a team build CI system, choose technology, set all things up, develop

The Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence. As a Machine Learning and System Optimization Engineer, you will orchestrate and allocate overall system capacity to various core perception models running on-bot, as well as drive large initiatives that allow for more efficient inference by sharing various parts of the perception stack with one another. You will focus on bringing highly efficient, production-ready large-scale models to our on-vehicle stack. We are looking for experts with hands-on experience compressing, accelerating, and deploying complex models, including LLMs, VLMs, or foundation models, for power- and thermal-constrained vehicle SoCs. In addition, you will optimize ML models, write custom CUDA kernels, and build highly concurrent inference code to ensure real-time, deterministic execution on edge devices. In this role, you will: Allocate and distribute system resources (CPU/GPU/interconnect) to various models and inference engines running on the robot. Spearhead cross-cutting initiatives that allow for better compute utilization through sharing/fusing models and better scheduling strategies. Optimize large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs) using advanced quantization (PTQ, QAT), pruning, mixed-precision inference frameworks, and parameter-efficient fine-tuning (LoRA, QLoRA). Architect and implement model conversion and compilation pipelines using TensorRT for edge deployment. Write production-level, low-latency, and memory-safe C++ and CUDA code for real-time inference on vehicle systems. Qualifications: Deep experience in system and performance optimization in CPU/GPU systems designed for low latency or high throughput. Deep expertise in working with real-time systems & required

At Veriforce, we build innovative technology that helps create safer workplaces. Our software supports a global network of responsible hiring clients, suppliers, contractors and partners. We take the complexity out of compliance for more than 50,000 organisations worldwide, helping them protect their people, their operations and the planet. As a Junior Software Development Engineer in Test (SDET), you will support the delivery of reliable, high-quality software by performing manual testing and contributing to automated testing. Working alongside developers, product team members and more experienced quality engineers, you will help identify defects, validate new functionality and continuously improve our testing processes. This is an excellent opportunity for someone early in their software testing career who wants to develop their technical skills in test automation, API testing and continuous delivery. Testing and Quality Assurance Collaborate with developers, product team members and Scrum teams to understand requirements and acceptance criteria. Create, document and maintain clear test cases and test scenarios. Perform manual functional, regression, integration and exploratory testing. Validate new features, enhancements, customisations and system integrations. Identify, document and track software defects, providing clear steps for reproduction. Retest resolved defects and complete regression testing before releases. Support User Acceptance Testing by helping business stakeholders validate new functionality. Maintain accurate documentation of test cases, test results and identified defects. Test Automation Develop and maintain automated test scripts with guidance from experienced team members. Use tools such as Playwright or Cypress to automate repeatable application tests. Review automated test results and investigate failures. Help improve automated test coverage across key user journeys. Learn and apply test automation standards and development best practices

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About our Team: Micron's Front-End Central Quality Assurance (FECTQA) team plays a critical role in ensuring product quality and reliability within our fabrication facilities. We focus on proactive risk management, containment strategies, and process excellence to support manufacturing operations and deliver world-class semiconductor products. The team partners closely with manufacturing, engineering, and quality organizations globally to drive continuous improvement, share best-known methods, and ensure consistent quality standards across the network. Position Overview: As a Senior Engineer, FE Central QA, you will be instrumental in safeguarding product integrity and driving quality improvements across ID1/Fab4 operations. This role is responsible for product containment, risk assessment, disposition of deviated products, quality system compliance, and continuous improvement in a high-volume semiconductor manufacturing environment. You will also support new product qualifications and leverage AI-enabled tools and advanced analytics to improve quality assurance effectiveness, operational efficiency, and decision-making. Responsibilities: Complete product containment, risk assessment, and disposition processes to maintain product quality, reliability, and customer protection. Develop, evaluate, and revise quality assurance methods and protocols. Apply these methods to inspect and test in-process materials, production equipment, an

Role Overview As a Senior Software Engineer, AI Ops at Scale AI, you will own the long-term technical health, performance, and stability of AI solutions deployed across our strategic public sector partners. While our Delivery Teams build and launch new use cases, you are the technical steward ensuring these deployments operate with Operational Excellence. You will bridge software engineering, MLOps, and client governance, managing tiered SLAs, tracking model drift, and executing maintenance protocols that protect both system integrity and operational margins. Key Responsibilities Handover Gate & Onboarding: Act as the technical gatekeeper during the formal transition from Delivery to Maintenance. Conduct deep-dive reviews to ensure baseline code, prompts, and architecture meet strict maintainability and documentation standards before sign-off. Tiered SLA & Incident Management: Own technical response and resolution targets across multi-tiered service models (from Business-Hours Essential to 24/7 Mission-Critical). Lead Incident Governance, Root Cause Analysis (RCA), and P1/P2 mitigations within strict active support windows. AI Lifecycle Governance: Monitor production model performance, latency, and data drift. Manage prompt configuration repositories to maintain behavioral consistency and perform regression testing when LLM providers update underlying endpoints. Request Classification & Technical Scope: Operationalize the boundary between Routine Maintenance (In-Scope) and System Evolution (Out-of-Scope). Assess incoming client requests and run comparative benchmarking on new AI models. Automation & Reliability Engineering: Eliminate operational toil by engineering self-healing data pipelines, automated RAG indexing syncs, and telemetry tooling. Influence upstream "Delivery" teams to adopt architectural patterns that simplify ongoing maintenance. Client Technical Interface: Serve as the senior technical point of contact for government and enter

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or eq

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure

This position is responsible for supervising Nivagen label control and packaging area. Works in SAP system and Quality system to perform inspection testing of incoming labelling and packaging components. Supervising the packaging team to provide oversight of Packaging and making sure that AQL’s support finished product release. The position is a liaison with the warehouse, customer service and manufacturing for incoming goods both finished product and incoming components. The position is responsible for implementing Nivagen inspection and testing quality standards for labelling and incoming packaging components, while leading the packaging QA team to meet Nivagen timelines. ESSENTIAL DUTIES AND RESPONSIBILITIES Manage the Label Control Program ensuring that finished product is appropriately labeled to the correct versions and timelines. This includes management of specifications, inspections, and release of labelling in SAP. Manage the Packaging Component Specification program by obtaining documentation for components that have product contact from project managers, engineers, or purchasing. Prepare or review change controls to introduce product/components into Nivagen Quality System. Develop quality inspection criteria for finished products to include label review, temperature requirements, and destructive testing for quality attributes, if applicable. Create documentation for Quality inspection of each packaging component against supplier drawings, supporting documentation and physical testing. Work with Engineer and Operations for component acceptability testing on the line in conjunction of writing component specifications for approval. Sample and inspect incoming drug products and/or components against quality standards. Record and review documentation for accuracy and completeness. Maintain the initial and final documentation in the electronic management system. Disposition of product/component after quality review of inspection criteria Set up metadata in SAP

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity OKX is going all-in on AI-native localisation. The field has long been stuck on one trade-off: you can have translation quality, or you can have scale, but not both. And the real question was never "is this translation accurate?" — it's "can the user actually understand it and get through the flow?" Web3 is the hardest place to solve this. The vocabulary reinvents itself constantly, with new tech jargon, protocol names and memes appearing every week. It sits next to dense, high-stakes trading terminology, where a single mistranslated word can mislead a user or move money. And every market has its own fast-moving regulations, so the "right" translation is a moving target that must stay compliant across jurisdictions in real time. If you want a localisation problem that is genuinely unsolved — high ambiguity, high stakes, high velocity — this is it. We're going to break the trade-off with agents. You will own the 0-1 build and launch of two things: A frontier agentic translation system that localises every market (20+ languages) with a human-in-the-loop mechanism. A self-improving agentic QA p

Location: Doha, Qatar | Practice Area: Data & Analytics | Type: Permanent The Role Capco is a global technology and business consultancy, focused on the financial services and energy sectors. We combine innovative thinking with deep industry expertise to help our clients solve complex business and technology challenges. We are looking for an experienced Data Architect to lead the design and evolution of enterprise data architectures across complex transformation programmes. The role combines strategic architecture, modern data platform expertise, and technical governance to deliver scalable, secure, and future-ready data solutions. You will work closely with business and technology stakeholders to translate requirements into practical architectural solutions, establish common standards, and guide engineering teams through implementation. What You'll Do Define target-state architectures, data models, domain structures, and integration patterns, ensuring alignment with business objectives, enterprise standards, and non-functional requirements. Design scalable data platforms and solutions leveraging technologies (including but not limited to Snowflake, dbt, and cloud-native services), with a focus on performance, security, resilience, and cost efficiency. Architect modular, microservices-based solutions incorporating REST APIs, API gateways, and modern data ingestion and integration patterns. Establish and promote consistent data modelling, naming conventions, semantic definitions, and data management standards to support interoperability, discoverability, and reuse. Collaborate with stakeholders and engineering teams to translate business and technical requirements into architecture designs, assess source-system integration feasibility, and validate proposed solutions. Lead technical design reviews, assess architectural decisions, dependencies, and risks, and provide practical recommendations to maintain consistency and minimise implementation rework. Facilitate a

Leidos is seeking a Quality Engineer to support the Undersea System Division (USD) in Lynnwood, WA, an ISO 9001 certified facility. USD is aligned within the Leidos Defense Systems Sector under the Sea Systems business unit. The scope of the business activities at the facility includes development and deployment of advanced technology solutions that address existing and emerging maritime missions of national importance for a broad range of customers across the Department of Defense, Intelligence Community, other governmental agencies and commercial clients. Primary Responsibilities: Perform program quality planning Analyze program QA requirements, support the development of test procedures and inspection checklists Participate in design and program reviews to ensure quality attributes are incorporated into product designs and process plans. Review and approve new and revised drawings Review and approve new and revised process plans Perform quality inspections of components, subassemblies and completed assemblies Witness required testing per approved test procedures, document findings Document

Leidos is seeking a Quality Engineer to support the Undersea System Division (USD) in Lynnwood, WA, an ISO 9001 certified facility. USD is aligned within the Leidos Defense Systems Sector under the Sea Systems business unit. The scope of the business activities at the facility includes development and deployment of advanced technology solutions that address existing and emerging maritime missions of national importance for a broad range of customers across the Department of Defense, Intelligence Community, other governmental agencies and commercial clients. Primary Responsibilities: Perform program quality planning Analyze program QA requirements, support the development of test procedures and inspection checklists Participate in design and program reviews to ensure quality attributes are incorporated into product designs and process plans. Review and approve new and revised drawings Review and approve new and revised process plans Perform quality inspections of components, subassemblies and completed assemblies Witness required testing per approved test procedures, document findings Document nonconforming materials and coordinate the material reviews and dispositions <li style="color:#222222 !importan