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Salt

<div>
 
 
 🤖 Full Stack Engineer
 
 
 
 
 ⏳ 6-month initial contract - with extensions
 
 
 
 
 📍 Abu Dhabi
 
 
 
 
 
 
 
 Build the Future of AI in Banking
 
 
 
 
 
 
 We're partnering with one of the UAE's leading financial institutions to hire an experienced
 
 Full Stack Developer
 
 to help shape the next generation of AI-powered banking.
 
 
 
 
 
 You'll play a key role in developing the customer and operational interfaces for a cutting-edge
 
 Agentic AI platform
 
 , creating intuitive applications that connect complex AI decision-making with the people who rely on it every day. From Human-in-the-Loop (HITL) review portals and real-time operational dashboards to internal AI management tools, you'll build products that are central to the bank's AI transformation journey.
 
 
 
 
 
 This is an opportunity to work on enterprise-scale AI solutions using modern technologies including
 
 React, TypeScript, Node.js, Azure, Kubernetes, REST APIs, and GenAI integrations
 
 , while collaborating with AI Engineers, Product teams, Business Analysts and Platform Architects.
 
 
 The Role As a
 
 Full Stack Developer
 
 , you'll own the design and development of the human-facing applications that power the bank's AI ecosystem. You'll transform complex AI outputs, including confidence scores, exception handling, agent status and operational metrics&mdash;into intuitive, high-performance user experiences for operations teams, business users and customers.
 
 
 
 
 
 
 What You'll Be Doing:
 
 
 
 Build Modern AI Applications
 
 <ul>
 <li>
 Develop enterprise-grade React &amp; TypeScript applications for AI-powered banking solutions.
 </li>
 <li>
 Design intuitive interfaces that visualise AI decisions, confidence scores and workflow status.
 </li>
 <li>
 Create responsive, accessible applications that deliver an exceptional user experience.
 </li>
 </ul>
 
 Human-in-the-Loop (HITL) Platform
 
 <ul>
 <li>
 Develop reviewer portals enabling operations teams to validate AI-generated decisions.
 </li>
 <li>
 Build document viewers with field overlays and confidence indicators.
 </li>
 <li>
 Create streamlined approval, edit and rejection workflows with productivity-focused features.
 </li>
 </ul>
 
 Operational Dashboards
 
 <ul>
 <li>
 Build real-time dashboards displaying AI performance and operational health.
 </li>
 <li>
 Visualise key metrics including:
 </li>
 <li>
 Straight Through Processing (STP)
 </li>
 <li>
 Human intervention rates
 </li>
 <li>
 AI confidence trends
 </li>
 <li>
 Processing latency
 </li>
 <li>
 Token consumption
 </li>
 <li>
 Document volumes
 </li>
 <li>
 Exception analytics
 </li>
 </ul>
 
 Platform &amp; API Integration
 
 <ul>
 <li>
 Integrate applications with AI services, REST APIs and backend orchestration platforms.
 </li>
 <li>
 Develop secure communication between AI services and banking applications.
 </li>
 <li>
 Consume real-time event streams using WebSockets and Server-Sent Events.
 </li>
 </ul>
 
 Internal AI Tooling
 
 <ul>
 <li>
 Build internal portals supporting AI prompt management, testing, annotation and AI use case configuration.
 </li>
 <li>
 Create developer tooling that accelerates AI delivery across multiple business functions.
 </li>
 </ul>
 
 Performance &amp; Accessibility
 
 <ul>
 <li>
 Deliver highly performant applications optimised for enterprise environments.
 </li>
 <li>
 Ensure solutions meet accessibility standards and gracefully handle AI processing latency.
 </li>
 <li>
 Contribute to a reusable design system and component library aligned with corporate branding.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 Essential Experience
 
 <ul>
 <li>
 5+ years' experience as a Full Stack Developer
 </li>
 <li>
 Commercial experience delivering
 
 AI, Generative AI, Agentic AI or Conversational AI
 
 projects
 </li>
 <li>
 Strong React &amp; TypeScript development experience
 </li>
 <li>
 Node.js or Python (FastAPI / Express)
 </li>
 <li>
 REST API integration and development
 </li>
 <li>
 Experience with WebSockets or Server-Sent Events
 </li>
 <li>
 State management using Redux, Zustand or React Query
 </li>
 <li>
 Data visualisation using Recharts, D3 or similar libraries
 </li>
 <li>
 OAuth2 / OpenID Connect authentication
 </li>
 <li>
 Docker and Kubernetes fundamentals
 </li>
 <li>
 Experience building scalable, enterprise-grade web applications
 </li>
 </ul>
 
 Nice to Have
 
 <ul>
 <li>
 React Native or mobile banking application development
 </li>
 <li>
 Azure Static Web Apps, Azure Front Door or CDN configuration
 </li>
 <li>
 High-resolution document rendering and annotation tools
 </li>
 <li>
 Experience displaying streaming LLM responses
 </li>
 <li>
 Understanding of AI/ML concepts including confidence scoring, model evaluation and operational metrics
 </li>
 <li>
 Experience working within Azure cloud environments
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 
 This is a rare opportunity to work on one of the region's most ambitious AI transformation programmes.
 
</div>

Full Stack Engineer

Contango

<div>Contract duration: 6 months (with a potential extension) 
Engagement Type: Full-time 
Start date: July 2026 
Location: Abu Dhabi (on-site)
Role Overview
We are seeking an experienced Full-Stack Engineer to own features from database to interface &mdash; designing APIs and data models, building responsive frontends, and shipping production code with tests, observability, and CI/CD. We value breadth across the stack with enough depth to make sound architectural calls.
The modern full-stack role increasingly includes integrating AI: calling LLM APIs, building RAG-backed and agentic features, and streaming model output into the UI. We work TypeScript-first, edge-aware, and type-safe end-to-end, with AI coding assistants as part of the everyday toolchain. 
Key Responsibilities<ul><li>
Build responsive, accessible interfaces with React/Next.js (or Vue/Svelte) and TypeScript.</li><li>
Develop and maintain backend services and APIs (REST, GraphQL, gRPC, or tRPC) with clean domain models.</li><li>
Design relational and non-relational data models, write performant queries, and manage migrations.</li><li>
Integrate AI features &mdash; call LLM APIs, build RAG and tool-using flows, and stream output into the UI.</li><li>
Implement authentication and authorization securely (OAuth/OIDC, JWT, managed auth providers).</li><li>
Write automated tests across the stack &mdash; unit, integration, and end-to-end.</li><li>
Own features end-to-end, from design through deployment, monitoring, and iteration.</li><li>
Optimize performance: rendering strategy (SSR/SSG/ISR/edge), caching, Core Web Vitals, and query tuning.</li></ul> 
Candidate Requirements<ul><li>
Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.</li><li>
Prior experience at management consulting firms and/or Big Tech is an advantage.</li><li>
Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.</li><li>
3+ years building and shipping production web apps across frontend and backend.</li><li>
Strong JavaScript/TypeScript and a modern frontend framework (React/Next.js, Vue, or Svelte).</li><li>
Backend experience in at least one of Node.js, Python, Go, Java, or .NET, with solid API design.</li><li>
Strong SQL and database design (PostgreSQL/MySQL) plus a NoSQL or caching store.</li><li>
Experience with Git, CI/CD, testing, and deploying to a cloud or serverless platform.</li><li>
A solid understanding of web fundamentals: HTTP, REST, auth, caching, security, and performance.</li><li>
Experience integrating third-party and/or AI APIs into applications.</li></ul> 
Nice to have:<ul><li>
AI-native product features (copilots, RAG search, agentic flows).</li><li>
Monorepo tooling and design systems.</li><li>
Real-time features (WebSockets, CRDTs, collaborative editing).</li><li>
Mobile or cross-platform experience (React Native, Expo).</li><li>
DevOps fluency &mdash; containers, IaC basics, owning your own deployments.</li></ul>
Tools &amp; Technologies You&rsquo;ll Work With:<ul><li>
Frontend: React, Next.js (App Router, RSC), Vue/Nuxt, Svelte/SvelteKit, Tailwind CSS, shadcn/ui.</li><li>
State &amp; data: TanStack Query, Zustand, Server Actions.</li><li>
Backend: Node.js, Bun; FastAPI/Django, Spring Boot, .NET, Go.</li><li>
APIs &amp; data: REST, GraphQL, tRPC, gRPC; PostgreSQL, MongoDB, Redis, pgvector; Prisma, Drizzle.</li><li>
AI integration: Vercel AI SDK, OpenAI/Anthropic/Gemini SDKs, RAG and embeddings.</li><li>
Auth &amp; testing: OAuth/OIDC, Auth.js, Clerk; Vitest, Jest, Playwright, Cypress.</li><li>
Build &amp; deploy: Vite, Turborepo/Nx, pnpm; Vercel, AWS/Azure/GCP, Docker, GitHub Actions; Sentry.</li></ul></div>

Full-Stack Engineer (front-end focused, 6 months contract)

DICETEK LLC

<div>Require full stack dotnet developer who is capable of designing &amp; developing high quality applications. The major technologies we are looking forward to Dotnet Core, Microservices, Cloud environments, REST APIs, Kafka, ASP.netCore MVC, and SQL
Major skills / technologies required:
React : React.js, React Native, JavaScript, Kotlin, Groovy, Java, Redux, XState, Webpack, TypeScript, Redux, Babel, NPM/Yarn, RESTful APIs, HTML5, CSS3, Bootstrap , GraphQL
Dotnet Core : .NET Core, ASP.netCore MVC, Dependency Injection, Entity Framework Core
Micro services : Service Mesh, Service Discovery, Domain Driven
Databases : SQL Server, PostgreSQL, MySQL, MongoDB
REST APIs : RESTful Services, API Design, OAuth2, JWT, OIDC
Kafka : Kafka Streams, Kafka Connect, Messaging Patterns
Tools : Visual Studio, Visual Studio Code, JetBrains Rider, Postman, Git, Confluence, Jira
Cloud Ready : Azure, AWS, Docker, Kubernetes 
Experience &amp; Soft Skills<ul><li>
Total Experience up to 5-10 years</li><li>
Good Experience on handling Platform/Hosting support functionality.</li><li>
Banking Experience is preferred</li><li>
Strong analytical and problem-solving abilities.</li><li>
Excellent communication and teamwork skills.</li><li>
Ability to work independently and manage multiple tasks effectively.</li><li>
A proactive approach to learning new technologies and improving existing processes.</li></ul>
Responsibilities<ul><li>
Design, develop, maintain, and support Dotnet back-end services and APIs</li><li>
Analyze requirements and formalize technical approaches</li><li>
Test-driven development and implementation of middleware services end-to-end</li><li>
Ensure maximum code coverage (&gt;80%) through unit testing</li><li>
Address and handle all penetration testing scenarios</li><li>
Ensure bug-free application releases by maintaining high code quality standards</li><li>
Implement security measures to protect user data and application integrity</li><li>
Stay informed about common security vulnerabilities and how to mitigate them</li></ul></div>

Full Stack Engineer ( dotnet + React)

<div>Experience
10 -15 years
Skills -
Experience in working Full stack architecture
React JS, Python, Fast API as backend, Postgres SQL
Azure data factory - Backend data pipelines
TLS 1.2 or 1.3 implementation
SSO implementation
Lead the senior full stack developers
Design the Modules/ project and implement
Finops experience is a add on 
Required Technical Qualifications<ul><li>12+ years of software engineering experience with 5+ years in principal or staff engineer roles</li><li>5+ years of experience with cloud platforms, preferably Azure with exposure to AWS and OCI</li><li>3+ years of experience with data engineering and lakehouse architectures</li><li>Proven track record of delivering enterprise-scale platforms from inception to production</li><li>Expert-level proficiency in React, Python, and TypeScript</li><li>Deep experience with Databricks, Delta Lake, and Spark</li><li>Strong knowledge of Azure services including AKS, ADLS Gen2, Event Hubs, Azure Functions, and API Management</li><li>Proficiency in designing RESTful APIs and GraphQL services using FastAPI or similar frameworks</li><li>Strong understanding of CI/CD pipelines using Azure DevOps or GitHub Actions</li><li>Experience designing multi-cloud data integration solutions</li><li>Knowledge of FinOps principles and cloud cost management concepts</li><li>Understanding of enterprise security patterns including zero-trust architecture, private endpoints, and managed identities</li><li>Experience with event-driven architectures and streaming data platforms</li><li>Excellent communication skills with ability to present to technical and non-technical stakeholders</li><li>Strong problem-solving and decision-making abilities</li><li>Experience leading distributed engineering teams</li><li>Ability to balance technical excellence with business delivery timelines</li></ul></div>

Principal Full Stack Engineer - Cloud FinOps Platform

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems &mdash; primarily LLM-powered applications, RAG pipelines, and agentic workflows &mdash; that solve real client business problems in the UAE. The role combines applied AI expertise with solid software and data engineering foundations, with hands-on ownership from prototype to production and hypercare.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deliver end-to-end LLM applications: scope the use case, build, evaluate, deploy, and hand over reliable, observable services.
 </li>
 <li>
 Build and optimize RAG pipelines: data parsing, ingestion, chunking, embeddings, vector search, re-ranking, and context-window optimization.
 </li>
 <li>
 Design and orchestrate agentic workflows for reasoning, planning, and task execution.
 </li>
 <li>
 Build evaluation and observability: define metrics (accuracy, latency, cost-per-task), run eval pipelines, and monitor systems in production.
 </li>
 <li>
 Integrate AI components into client applications via secure backend APIs; collaborate with data, software, and DevSecOps teams.
 </li>
 <li>
 Engineer the supporting data layer: pipelines, feature/embedding stores, and data quality for AI workloads on cloud platforms.
 </li>
 <li>
 Manage the full lifecycle: deployment, monitoring, versioning, rollback readiness, and cost/performance optimization.
 </li>
 <li>
 Translate business problems into AI solutions and communicate model capabilities, limitations, and trade-offs clearly to clients and stakeholders.
 </li>
 <li>
 Maintain technical documentation, runbooks, and delivery artifacts across Design &amp; Align &rarr; Build &rarr; UAT &rarr; Production &amp; Hypercare.
 
 
 </li>
 </ul>
 
 Candidate Requirements
 
 
 
 <ul>
 <li>
 Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
 </li>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Strong Python and solid software engineering fundamentals.
 </li>
 <li>
 Hands-on LLM APIs (Anthropic, OpenAI, Azure OpenAI), including tokenization, latency, and cost control.
 </li>
 <li>
 Proven RAG architecture experience with vector databases (e.g., Azure AI Search, Qdrant, Chroma, Pinecone, FAISS).
 </li>
 <li>
 Experience with agent/orchestration frameworks (e.g., LangChain, LangGraph, CrewAI).
 </li>
 <li>
 Evaluation and observability skills for production AI (eval pipelines, LLM-as-judge, monitoring).
 </li>
 <li>
 Working knowledge of a major cloud AI/data stack (Azure, AWS, or GCP) and MLOps tooling (e.g., MLflow, Docker).
 </li>
 <li>
 Solid data engineering skills: SQL, distributed processing (e.g., Spark/Databricks).
 </li>
 <li>
 Strong collaboration and communication skills &mdash; able to work with both technical teams and senior client stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 3&ndash;6 years of experience building and shipping AI/ML solutions into production.
 </li>
 <li>
 Preferred certifications (nice to have): cloud AI certifications (Azure AI Engineer, AWS ML, Databricks GenAI Engineer).
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Contract Country: United Arab Emirates City: Abu Dhabi Company Website: https://contango.ae/ Job Function: Data Science &amp; AI Company Industry/
 
 
 Sector: Other
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

AI Engineer 6 Months Contract

YO IT Consulting

<div>
 
 Job Title:
 
 Software Engineering
 
 
 
 Job Type:
 
 Contractor (10-12 hours per week)
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.
 
 
 No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects.
 </li>
 <li>
 Review, debug, improve, and explain code across different technical environments.
 </li>
 <li>
 Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.
 </li>
 <li>
 Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience.
 </li>
 <li>
 Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered.
 </li>
 <li>
 Collaborate with the customer&rsquo;s team on technical reviews, implementation decisions, and problem-solving exercises.
 </li>
 <li>
 Adapt quickly to new codebases, frameworks, and technical requirements.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 5+ years of hands-on software engineering experience.
 </li>
 <li>
 Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C#, .NET, C++, Go, Ruby, PHP, or similar.
 </li>
 <li>
 Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations.
 </li>
 <li>
 Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
 </li>
 <li>
 Ability to explain complex engineering decisions clearly and objectively.
 </li>
 <li>
 Comfortable reading and reasoning through unfamiliar code or technical requirements
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud environments such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.
 </li>
 <li>
 Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native.
 </li>
 <li>
 Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work.
 </li>
 <li>
 Experience mentoring engineers, reviewing code, or making architecture decisions.
 </li>
 </ul>
</div>

JavaScript/TypeScript Developer - Remote

GSSTech Group

<div>The Senior Test Automation Engineer will play a critical role in enhancing Test Automation solutions for the Client&rsquo;s applications and platforms including the SupTech program, Payments &amp; Reporting platforms and related technology stacks within a modern DevSecOps delivery pipeline.
This role encompasses analyzing technical and functional designs, defining test strategies, designing and implementing automated test frameworks and test cases (UI, API, Mobile App, Integrations, Performance Testing), and ensuring high quality, reliability, and security of software deliveries. The Senior Test Automation Engineer will drive continuous improvement in test automation practices &amp; tooling to meet Client&rsquo;s quality objectives, collaborating with relevant stakeholders to optimize test coverage, execution efficiency, &amp; compliance with industry standards and internal policies
 Additionally, the engineer will be responsible for integrating existing CI/CD pipelines with test automation scripts to establish a full CI/CD/CT (Continuous Testing) pipeline and utilizing mobile app testing tools such as Appium, Espresso, XCUITest, and Detox
The role also involves promoting modern software quality engineering practices, fostering innovation in automation, ensuring code and test quality, promoting collaboration through agile practices, providing effective support and resolution for quality-related issues, and aligning testing and automation decisions with the overall objectives of the Client.
Key Responsibilities
Core Responsibilities
Enhance and implement a robust, scalable, and maintainable test automation solutions for Client&rsquo;s applications stack. The role ensures that automated testing frameworks and suites are aligned with modern technology stacks and continuously support evolving business and regulatory needs. It involves setting the overall test automation strategy and technical vision, defining quality and testability standards, and ensuring adherence to best practices in software testing, evaluating Test automation and Performance Testing tools and its frameworks, Quality engineering patterns, Adopt agile testing practices and principles across the environment.
1. Test Automation Strategy, Design and Implementation<ul><li>Design, develop, maintain, and enhance the test automation strategy for key applications and platforms (including SupTech (Supervision Technology for banking supervision), Payments &amp; Reporting, and other critical systems).</li><li>Analyze business, functional, and technical requirements to design effective automated test scenarios and suites.</li><li>Design, build, and maintain modular, reusable, and scalable test automation frameworks (UI, API, Mobile, Integration, Performance and Regression).</li><li>Ensure test automation solutions are aligned with architectural standards, security guidelines, JIRA and DevSecOps/CI-CD practices.</li><li>Integrate existing CI/CD pipeline with test automation scripts to establish a full CI/CD/CT (Continuous Testing) pipeline, ensuring continuous validation throughout the development lifecycle.</li></ul>
2. Test Development, Execution and maintenance<ul><li>Develop, review, and optimize automated test scripts using approved tools and languages.</li><li>Integrate automated tests into JIRA (Xray Test Case Management) for comprehensive test case lifecycle management, including requirements traceability, execution tracking, and reporting.</li><li>Maintain and refactor existing test suites to improve stability, reliability, coverage, and execution speed, monitor and analyze test execution results, identify flakiness or instability, and implement corrective actions.</li><li>Ensure timely execution of automated suites in line with release schedules and quality KPIs.</li><li>Implement Mobile Device Farm integration with Tosca (using tools like Perfecto, BrowserStack, or Sauce Labs) to execute automated mobile test cases on both physical devices and emulators/simulators.</li></ul>
3. Quality Engineering, Standards and Governance<ul><li>Adhere to test automation coding standards, best practices, and design patterns, modern quality engineering approaches (e.g., Test-Driven, Behaviour-Driven, shift-left testing).</li><li>Contribute to maintain test data &amp; environment management, test configuration standard</li><li>Support the establishment and tracking of quality metrics (e.g., test coverage, defect leakage, automation coverage, and execution duration).</li><li>Ensure testing practices are compliant with internal policies, regulatory requirements, and industry standards.</li></ul>
4. Collaboration, Stakeholder Engagement and Support<ul><li>Collaborate closely with BA, Developers, Solution architects, PMO, and operations teams to ensure quality is embedded throughout the lifecycle.</li><li>Liaise between business users and technical teams to clarify requirements, acceptance criteria, test coverage, support for test automation and quality-related issues, including troubleshooting test failures, environment issues and tool integration challenges.</li><li>Participate actively in agile ceremonies (planning, refinement, reviews, retrospectives) to represent quality and test automation perspectives.</li></ul>
5. Tooling, Innovation and continuous improvement<ul><li>Evaluate, recommend, and implement test automation, performance testing, and quality engineering tools and frameworks that align with the Client&rsquo;s technology stack.</li><li>Explore and adopt innovative approaches such as AI-assisted testing, model-based testing, and test impact analysis where relevant.</li><li>Continuously optimize test suites (e.g., prioritization, parallelization, environment usage) to reduce cycle time and improve feedback speed.</li><li>Identify opportunities to improve processes, enhance test coverage, and increase automation maturity across teams.</li><li>Utilize mobile app testing tools such as Appium, Espresso, XCUITest, and Detox for mobile automation and implement CI/CD/CT pipeline orchestration to enable continuous testing with automated smoke, regression, integration, and performance tests.</li></ul>
6. Documentation and Knowledge management<ul><li>Develop and maintain comprehensive documentation for test automation frameworks, standards, test suites, and execution processes.</li><li>Document and share lessons learned, best practices, and guidelines for effective automation of quality.</li><li>Perform any other duties outside the scope as and when required.</li></ul>
Self-Management Responsibilities<ul><li>Professional Development: Identify and pursue training opportunities to enhance skills and competencies.</li><li>Competency Mastery: Strive for excellence across all required competencies for the role.</li><li>Industry Awareness: Stay informed about emerging trends, techniques, and advancements in the field to ensure continued relevance and capability.</li></ul> 
Requirements<div> 
Threshold Qualifications : 
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Software Engineering (IT),</li></ul></div><ul><li>Professional certifications in Software Testing Automation.</li><li>Extensive expertise in NEOLOAD performance testing tool, TOSCA automation tool would be an added advantage.</li><li>ISTQB, Cypress/Appium certifications, Mobile Performance Testing Tools (NeoLoad, JMeter Mobile, LoadRunner Mobile)</li><li>Agile/Scrum, CI/CD/CT pipeline integration</li><li>Xray Certified Practitioner (JIRA Xray Test Case Management) - Preferred</li></ul> 
Experience:<ul><li>Minimum of 6+ years of hands-on experience in software testing with a strong focus on Performance, Load and Endurance testing.</li><li>Proven track record in designing, implementing, and maintaining automation frameworks and suites for enterprise-level applications.</li></ul>
Technical Skills:<ul><li>Performance Testing on Web application, SOAP API Testing, Mobile Testing, SQL, JIRA</li><li>Proficiency in NeoLoad, JMeter Mobile, LoadRunner Mobile, BlazeMeter Mobile, REST/SOAP, Postman</li><li>Knowledge of a scripting language (Python, JavaScript, Java</li><li>Experience in Database&rsquo;s, Monitoring tools (JIRA, AppDynamics, Datadog)</li><li>Automation of Mobile Performance Test Cases using Device Farm integration with Neoload (such as Perfecto, BrowserStack, Sauce Labs) to execute on both physical devices and emulators/simulators</li><li>CI/CD/CT Pipeline Experience: Integrating performance test automation scripts within CI/CD pipelines (Jenkins, GitLab, Azure DevOps) to establish continuous performance testing workflows</li></ul> 
Roles and Responsibilities:<ul><li>NFR Requirement Gathering, PT tool installation and Setup,</li><li>Creating Test Plan, Workload Design, Test Execution</li><li>Result Analysis, Report generations, Document Test results &amp; statistics</li><li>Tracking test results and performance metrics in JIRA (Xray Test Case Management Solution), ability to track defects and correlate performance issues with test case</li></ul>
Preferred Certifications:<ul><li>Neoload Professional certification by Tricentis academy</li><li>JMeter Pro certification by Blaze Meter University</li></ul></div>

Senior QA Engineer - NeoLoad Test Automation Lead

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