Top Tech Jobs & Startup Jobs

Designs and maintains Python-based automated testing frameworks using Robot Framework and Selenium WebDriver. Integrates test suites with CI/CD pipelines, develops reusable test components, analyzes results, identifies defects, and collaborates with development teams. Responsibilities also include test planning, estimation, risk assessment, documentation, and maintaining automation standards. API, mobile, REST, gRPC, Postman, RestAssured, Appium, Android, and iOS testing experience are preferred.

Develop and integrate AI and generative AI solutions in Python, including LLM-powered applications, NLP systems, machine learning models, APIs, backend services, and semantic search using embeddings and vector databases. Fine-tune and optimize models, monitor production performance, document workflows, and collaborate with data scientists, engineers, and product teams to deliver scalable AI features.

Lead quality engineering for corporate banking platforms by developing test strategies, executing manual and automated UI/API tests, building Python automation with Robot Framework or pytest, and integrating Selenium or Playwright. Manage testing in Jira and Zephyr, report quality metrics, identify coverage gaps, collaborate in Agile teams, and support CI/CD, DevOps, AI-driven testing, and continuous process improvement.

Leads the development and maintenance of scalable test automation frameworks using Playwright and Selenium. Develops Java and Python automation scripts, integrates test suites with Azure DevOps and Jenkins pipelines, and implements AI-assisted capabilities such as script generation, self-healing, intelligent test data, and failure analysis. Mentors automation engineers, conducts code reviews, collaborates in Agile teams, and promotes quality engineering best practices.

Leads end-to-end B2B digital marketing strategy and execution across SEO, AI search, paid media, content, email, and marketing automation. Owns campaign roadmaps, lead generation, funnel performance, analytics, attribution, optimization, and reporting. Partners with sales, product, business, and delivery teams to drive qualified leads, pipeline contribution, brand visibility, and revenue growth while managing stakeholders and improving scalable marketing processes.

Develop and maintain modern web applications using C#, .NET Framework, .NET Core, ASP.NET MVC, Web API, REST, React JS, Azure SQL, and Microsoft Azure. Responsibilities include frontend and backend integration, database design and optimization, Azure deployment, CI/CD automation, troubleshooting, performance optimization, code reviews, production support, and collaboration with cross-functional stakeholders. The role also involves using AI-powered developer tools and following software engineering best practices.

Lead QA automation strategy and framework development across web, API, mobile, and data platforms. Integrate automated testing into CI/CD and DevSecOps pipelines, drive functional, regression, performance, integration, and security coverage, and champion responsible GitHub Copilot adoption. Mentor QA engineers, establish governance and quality standards, report risks and metrics to leadership, and ensure testing complies with banking regulations, privacy requirements, security standards, and audit expectations.

Leads the design, development, deployment, and architecture of enterprise .NET applications. Provides technical leadership, mentorship, code reviews, and standards governance while collaborating with stakeholders, product managers, architects, and QA. Develops RESTful APIs, microservices, and cloud solutions; resolves complex production issues; optimizes performance; supports Agile/Scrum delivery; and drives documentation and continuous improvement.

Design, develop, and maintain end-to-end web applications using Java, Spring Boot, RESTful APIs, microservices, and modern front-end frameworks. Integrate applications with relational and NoSQL databases, write automated tests, participate in code reviews, support CI/CD pipelines, troubleshoot production issues, and contribute to technical documentation. Collaborate with architects, analysts, QA, and DevOps teams in an Agile environment.

Develop and optimize AI and generative AI applications using Python, large language models, machine learning, NLP, TensorFlow, and PyTorch. Build APIs, backend services, semantic search systems, and vector database integrations. Fine-tune models, monitor production performance, and collaborate with data scientists, engineers, and product teams to deliver scalable AI features. Document models and workflows while applying prompt engineering, embeddings, and MLOps practices.