Qa Automation Analyst Jobs

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Key Responsibilities: Partner with development and product teams to ensure product quality in a fast-paced Agile environment Create and maintain test strategies, test plans, test cases, test data and traceability for new features and defect fixes Write and maintain automated tests for data-validation workflows Integrate and maintain automated test suites within CI/CD pipelines to support continuous testing, quality gates and release validation throughout the software delivery lifecycle Perform manual functional, regression, integration, and exploratory testing when automation is not suitable Validate multi-tiered, data-driven applications processing large volumes of records Define and track quality metrics including defect counts, severity, test execution, coverage and release status Identify, document, report, track and verify issues through to resolution Perform root-cause analysis and collaborate on preventive quality improvements Support product deployments, release validation and QA sign-off Partner with support teams to reprod

Summary: We are seeking an experienced L2 DevOps Engineer with over 5+ years of experience to design, implement, and manage infrastructure and deployment pipelines across hybrid environments, including on-premises data centers and cloud platforms. This role requires expertise in AWS, Azure, Kubernetes, IaC, CI/CD, and monitoring tools, along with strong troubleshooting and security practices. You will work closely with development, QA, and operations teams to ensure reliable, scalable, and secure delivery of enterprise-grade applications, while also mentoring junior team members and driving automation initiatives. Responsibilities: Manage and support hybrid infrastructure, including physical data centers and AWS/Azure services. Design and implement Infrastructure-as-Code (IaC) using tools such as Terraform, Pulumi, CloudFormation, and Helm; manage GitOps deployments with ArgoCD/Flux. Configure and maintain Kubernetes clusters (EKS), ensuring scalability and high availability. Build, maintain, and optimize CI/CD pipelines with Jenkins, GitLab CI, Bitbucket, and GitHub. Automate deployments, scaling, and monitoring processes. Set up and maintain observability using Grafana, Prometheus, and other monitoring tools. Perform root cause analysis of performance issues and participate in on-call support. Manage SSL/TLS and code signing certificates and implement best practices for infrastructure security. Work with cross-functional teams to improve infrastructure reliability and delivery processes. Maintain clear documentation and contribute to knowledge sharing and incident post-mortems. Required Skills & Experience: 5+ years of experience in DevOps, Site Reliability Engineering, or related roles. Strong hands-on expertise with AWS and Azure cloud services. Solid experience with Infrastructure-as-Code tools and GitOps. Proven experience with Kubernetes/EKS setup and operations. Proficiency in CI/CD pipelines and GitOps practices. Strong knowledge of monitoring an

Summary: We are seeking an experienced Senior DevOps Engineer with over 8 years in the field to lead the design, implementation, and management of infrastructure and deployment pipelines across hybrid environments, including on-premises data centers and the cloud. This role requires deep expertise in AWS, Azure, Kubernetes, Infrastructure as Code (IaC), CI/CD, and monitoring tools. The engineer will collaborate closely with development, QA, and operations teams to ensure the delivery of reliable, scalable, and secure enterprise-grade applications. Additionally, the role involves mentoring junior team members and leading automation initiatives. Responsibilities: Manage and support hybrid infrastructure, including physical data centers, AWS, and Azure services. Design and implement Infrastructure-as-Code using tools like Terraform, Pulumi, and CloudFormation. Configure and maintain Kubernetes clusters, ensuring scalability and high availability. Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, Bitbucket, and GitHub. Automate deployment, scaling, and monitoring processes. Set up and maintain observability using Grafana, Prometheus, and other monitoring tools. Perform root cause analysis of performance issues and participate in on-call support. Manage SSL/TLS and code signing certificates and implement infrastructure security best practices. Support compliance and audit requirements through documentation and monitoring. Collaborate with cross-functional teams to improve infrastructure reliability and delivery processes. Document processes in Confluence, track work in Jira, and contribute to knowledge sharing. Write root cause analysis and incident post-mortems to prevent future issues. Required Skills & Experience: 8+ years of experience in DevOps, Site Reliability Engineering, or related roles. Strong expertise with AWS and Azure services. Experience with Infrastructure-as-Code tools and GitOps. Proven experience with Kubernetes/EKS setup and

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Key Responsibilities: Own and enhance the reliability, scalability, security, and operational readiness of production and non-production environments. Build and maintain Infrastructure as Code (IaC), configuration management, CI/CD pipelines, deployment automation, and operational tooling. Collaborate with Engineering, Product, QA, Security, and Cloud teams to support releases and production deployments. Implement and improve monitoring, observability, logging, alerting, and incident response processes. Troubleshoot issues across Linux and Windows systems, networking, DNS, SSL/TLS, web servers, databases, APIs, and cloud platforms. Support cloud migration, platform modernization, vulnerability remediation, patching, disaster recovery, and operational documentation. Participate in production support, incident management, root cause analysis, and continuous service improvements. Design, develop, test, and deploy new product features and enhancements. Utilize AI-assisted development tools for code generation, refactoring, testing, and documentation while adhering to engineering best practices. Key Skills: 8+ years of exper

About the role Chime is hiring a Director of Lifecycle Marketing Operations to build and run the operational engine behind everything we send to members: campaign execution, channel health and deliverability, the automation and platform layer, and the governance that keeps it all safe and high quality at scale. Most of that work is manual today. Your mandate is to make it faster, higher quality, and increasingly automated, with an agent-supported operation as the destination. You'll lead a growing execution team through an execution lead and a set of channel and platform specialists, and partner closely with MarTech, Growth Engineering, and the lifecycle strategy leads to turn strategy into live, high-quality messaging. This is a leadership role with real technical depth: you set the operational strategy and prioritize the work, and you go deep into the detail when it counts. In this role, you can expect to Own the Messaging Operations engine and set its operational strategy across campaign execution, channel health, deliverability, automation, and the platform layer — and own the metrics that say whether it's working: throughput, quality, speed to launch, deliverability, and channel health. Own the operational process end to end, from intake to launch: build, QA, deployment, and the standards that keep quality and speed high as volume grows. Drive the automation and AI-agent roadmap, taking the team from manual execution to supervising and governing automated workflows, and fold what you learn from experimentation into the wider Lifecycle roadmap. Own governance for everything that ships: channel standards, deliverability and compliance, and the QA model for automated and agent-driven sending, in a regulated environment where safe sending is non-negotiable. Own channel excellence across email, push, in-app, and SMS — health, analytics, opt-in/opt-out, and deliverability. Set the benchmarks the operation runs on, connect them to the business metrics leaders care abo

About the Role We are seeking an experienced Azure DevOps Engineer to design, implement, and maintain CI/CD pipelines, cloud infrastructure, and automation solutions on Microsoft Azure. This role bridges development and operations, ensuring reliable, secure, and scalable delivery of applications and infrastructure. Location: Hyderabad-India-Onsite Duration: Fulltime Responsibilities Design, build, and maintain CI/CD pipelines using Azure DevOps (Pipelines, Repos, Artifacts, Boards) Architect and manage Azure cloud infrastructure using Infrastructure as Code (ARM templates, Bicep, or Terraform) Automate build, test, and deployment processes across multiple environments Implement and manage containerization and orchestration (Docker, Azure Kubernetes Service) Monitor system performance, availability, and security using Azure Monitor, Log Analytics, and Application Insights Collaborate with development, QA, and security teams to streamline release management Implement Azure security best practices, identity management (Azure AD/Entra ID), and network architecture Manage cost optimization and governance across Azure subscriptions Troubleshoot production issues and support incident response Document infrastructure, pipelines, and operational procedures Required Qualifications Microsoft Certified: Azure Solutions Architect Expert, Azure Administrator Associate (required) 3+ years of hands-on experience with Azure DevOps and Azure cloud services Strong experience with Infrastructure as Code (Bicep, ARM templates, or Terraform) Proficiency scripting in PowerShell, Bash, or Python Experience with Git version control and branching strategies Solid understanding of networking, security, and identity concepts in Azure Experience with containerization (Docker) and orchestration (Kubernetes/AKS) Familiarity with monitoring and logging tools (Azure Monitor, Application Insights) Preferred Qualifications Additional certifications: Azure DevOps Engineer Expert Experience with multi-

MongoDB is seeking a Director, Web Platform & Technology to define the technology strategy, architecture, and delivery model for mongodb.com, our primary digital experience. This leader will drive the evolution of the platform as we migrate to Adobe Experience Manager (AEM), modernize our software development lifecycle, improve performance and scalability, and establish the technical foundation for personalization, experimentation, AI-enabled workflows, and product-led growth. Leading a cross-functional team of Product Managers, Web Engineers, and specialized contractors (Business Analysis, QA, Scrum Master), this role will champion AI adoption across the web development lifecycle while delivering a best-in-class developer experience and partnering closely with design, marketing, and product teams to maximize business impact. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Main Responsibilities Platform Strategy & Ownership: Define the long-term vision, architecture, roadmap, and operating model for MongoDB's web platform, aligning technology investments with marketing, growth, and business objectives AEM & Digital Experience: Lead the migration to and evolution of Adobe Experience Manager while integrating Adobe Experience Cloud capabilities to support personalization, content operations, search visibility, and scalable content delivery Engineering Excellence: Establish modern engineering practices spanning Agile delivery, CI/CD, release management, quality assurance, automation, documentation, accessibility, security, and technical governance to accelerate delivery and reduce technical debt Team Leadership: Lead globally distributed engineering teams and contractor partners, building high-performing delivery models and fostering technical excellence and accountability AI & Innovation: Identify, pilot, and operationalize AI capabilities—including generative AI, conversational experiences, workflow

Locations: South Jordan, UT Salary: $56,000 Launch Your Career in Technology Every app, website, payment, and digital service relies on technology running smoothly behind the scenes. When something goes wrong, Production Support Engineers are the people who investigate the issue, restore service, and help prevent it from happening again. If you're curious, analytical, and enjoy solving problems, this is an opportunity to build hands-on experience with cloud platforms, Linux, automation, databases, and large-scale enterprise systems from day one. What Is Production Support? Production Support Engineers keep business-critical applications running reliably in live environments. Think of it this way: Software Engineers build the platform. QA Engineers test the platform. Production Support Engineers keep the platform running when it matters most. Working at the intersection of technology and business, you'll troubleshoot issues, automate processes, and help improve the reliability and performance of systems used by thousands, or even millions, of people every day. If you enjoy solving puzzles, working under pressure, and understanding how large-scale systems work, this could be the perfect place to start your career. What You'll Do As part of a global production engineering team, you'll: Help support large-scale applications and platforms used by leading organizations around the world. Monitor business-critical applications and services to ensure high availability and performance. Investigate and resolve production incidents across applications, infrastructure, databases, and cloud environments. Analyse logs, alerts, and system metrics to identify root causes and prevent recurring issues. Partner with software engineers, infrastructure teams, and business stakeholders to improve system reliabilit

About the role We’re hiring a CRM Manager to join our Lifecycle & CRM Marketing team. You’ll own the technical foundation behind how Chime engages members across email, push, in-app, and SMS. This is a hands-on, technical role. You’ll lead principal-level projects that make our CRM programs scalable, reliable, and healthy, including the processes the team runs on, the health of every channel, and new tools and capabilities. You’ll operate with a high degree of independence, lead through ambiguity, and know when to escalate, partnering closely with Lifecycle Marketing, Engineering, Data Engineering, Product, Data Science, Analytics, and Legal & Compliance. You’ll also help define how Chime’s CRM ecosystem evolves through data, AI, automation, and real-time personalization. In this role, you can expect to Own the strategy, roadmap, and day-to-day health of Chime’s CRM platform and channel ecosystem, setting a clear technical direction tied to member experience and business outcomes. Lead principal projects to implement, integrate, and scale new tools and capabilities, from defining requirements and evaluating vendors through rollout, adoption, and measuring impact. Monitor and improve channel health across email, push, in-app, and SMS, including deliverability, sender reputation, opt-in and reachability rates, frequency and fatigue management, and preference and consent management. Design and improve the processes behind lifecycle execution, including campaign intake, build standards, QA, governance, and documentation, so the team can move faster with fewer errors. Partner with Engineering and Data Engineering on the data foundations of CRM: event and attribute design, data flows into the platform, APIs and webhooks, and real-time triggering. Build and refine complex, data-driven journeys and personalization logic (e.g., Liquid, Connected Content, dynamic segmentation) and set the bar for technical execution across the team. Use AI tools and automation as a co

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. We are looking for a hands-on Senior QA Consultant to lead end-to-end testing of AI and Generative AI applications across enterprise environments. This role combines strong expertise in traditional QA engineering with modern AI evaluation and validation practices. The ideal candidate will drive quality assurance initiatives for RAG pipelines, multi-agent systems, OCR and Speech-to-Text solutions while ensuring production grade quality outcomes in regulated industries such as Finance, Healthcare, and Insurance. The successful candidate will lead a small QA pod, collaborate closely with engineering, AI/ML, product, and business teams, and act as the client-facing QA owner for enterprise AI engagements. This role requires strong technical leadership, automation expertise, AI evaluation capabilities, and excellent stakeholder management skills. Experience Requirements • 7–10 years of experien

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 Test Automation Framework & Infrastructure Design, build, and maintain Python-based automation frameworks for testing UniFi switches across firmware releases Develop and verify physical switch testbeds with controllable port connections, PoE loads, traffic generators, and link partners Maintain test infrastructure reliability — device provisioning, firmware flashing automation, test environment resets, and result reporting dashboards Use AI tools (ChatGPT, Gemini, Claude..etc) to accelerate test case generation, triage failing tests, and speed up root-cause analysis on large regression runs Protocol & Feature Automation Automate testing of core L2/L3 switching features: VLANs, STP/RSTP,IGMP snooping, QoS, ACLs…etc Strong understanding of switch platforms Ability to conduct performance and stability testing Reproduce field-reported issues and validate fixes before release Collaboration & Process Improvement Partner cross-functionally with engineering and product teams to shape quality bars and go/no-go release decisions Document bugs clearly with reproducible steps, supporting logs, and impact assessment Continuously improve QA processes, expand automation coverage, and enhance testing tooling Qualifications Automation & Tooling Strong hands-on Python skills for building te

Principal Embedded Firmware and Software Engineer Description - We are seeking a Principal Embedded Firmware & Software Engineer to lead the design, development, and debugging of embedded software and firmware for computer systems. In this role, you will combine deep, hands-on engineering expertise with system-level technical leadership to ensure seamless integration between software and hardware components, delivering reliable and efficient system performance. You will collaborate closely with cross-functional teams including hardware engineers, software developers, QA, and product managers to bring high-quality products to market. Responsibilities Provide technical leadership for the architecture, development, security, integration, debugging, validation, and deployment of embedded firmware and software including BIOS/UEFI, EFI applications and drivers, embedded controllers, and RTOS-based systems. Analyze hardware and system architectures to define firmware requirements, dependencies, interfaces, integration strategies, and validation approaches. Troubleshoot and resolve firmware issues by designing and implementing enhancements, updates, and programming changes across firmware subsystems. Define and drive firmware integration, verification, and validation strategies, including automated testing, regression testing, and continuous integration . Develop and improve engineering tools and automation using Python and other appropriate technologies for development, debugging, testing, analysis, and validation. Advance CI/CD and DevSecOps practices for embedded development to improve engineering velocity, quality, traceability, and release confidence. Evaluate and apply AI-assisted software development and engineering tools where they can improve developer productivity,

We’re looking for a Marketing Operations Manager to strengthen the systems, reporting, and operational foundation behind our go-to-market motion. You’ll help our teams move with cleaner data, more reliable workflows, and clearer visibility into pipeline performance. You’ll work across Marketing, Sales, and RevOps to improve routing, automation, attribution, and reporting. This role is a good fit for someone who enjoys solving operational problems, building scalable processes, and turning data into better decisions. What you’ll do here Own and improve lead routing workflows, including routing logic, SLAs, data quality, and handoff reliability. Manage lead and marketing operational improvements across Salesforce, HubSpot, and the broader GTM tech stack. Audit CRM and enrichment data to keep systems clean, accurate, and useful. Reduce manual work through better workflows, automation, documentation, and QA. Evaluate and help roll out new tools that make the marketing tech stack simpler and more scalable. Partner with Sales and RevOps to evolve systems as the business grows. Support recurring and ad hoc Marketing reporting, including QBRs, campaign analysis, marketing team requests, and KPI dashboards. Improve visibility into pipeline and funnel performance by troubleshooting data discrepancies, refining attribution, and surfacing insights. What we’re looking for 4+ years of experience in Marketing Operations, Revenue Operations, or GTM Systems roles at B2B organizations. Strong hands-on experience with Salesforce and HubSpot, including workflows, data hygiene, and system troubleshooting. Experience managing or improving lead routing processes, including routing logic, SLAs, ownership rules, and handoffs. Experience with B2B funnel reporting, pipeline visibility, conversion tracking, or performance analysis. A strong execution mindset, with the ability to prioritize, document, and improve systems in a fast-moving environment. Strong attention to detail and clear cross-fu

CAPCO POLAND *We are looking for Poland based candidate. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Role Overview We are looking for an experienced Senior DevOps Engineer to provide specialist DevOps services focused on designing, implementing, and enhancing cloud-based infrastructure and CI/CD solutions on Microsoft Azure. The ideal candidate should have strong hands-on experience in Azure services, Infrastructure as Code (IaC), automation, containerization, and monitoring tools to enable scalable, secure, and reliable application deployments. Scope of Services Design, implement, and manage cloud infrastructure on Microsoft Azure. Build, maintain, and optimize CI/CD pipelines using Azure DevOps. Automate infrastructure provisioning using Terraform, ARM Templates, or Bicep. Manage containerized applications using Docker and Kubernetes (AKS). Implement infrastructure monitoring, logging, and alerting solutions. Ensure security, compliance, and governance practices across Azure environments. Collaborate with development, QA, and operations teams to streamline deployment processes. Troubleshoot production issues and perform root cause analysis. Implement backup, disaster recovery, and high-availability solutions. Optimize infrastructure performance, scalability, and cost. Required Skills 7+ years of overall IT experience with strong DevOps expertise. Hands-on experience with Microsoft Azure services Strong experience with Azure DevOps (Repos, Pipelines, Boards, Artifacts). Expertise in CI/CD pipeline development and automation . Experience with Terraform, ARM Templates, or Bicep . Strong scripting skills in PowerShell, Bash, or Python . Experience with Docker and Kuberne

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . About the team Dialpad's Contact Center QA team owns the quality of the AI-driven services behind our customer engagement platform. We validate that complex features like AI Routing, Digital Agents, and real-time Analytics are genuinely enterprise-grade in scale, reliability, and performance. And we go further, working cross-fun