- Trivandrum
- 0 - 0 Years
- Not disclosed
- Associate Engineer-Network Platforms
- Today
We are looking for a results-oriented Digital Marketing Executive with 2–5 years of experience to plan, execute, and optimize digital marketing campaigns across paid, organic, and social channels. The ideal candidate will have strong expertise in SEO, Google Ads, META Ads, LinkedIn Campaigns, and Generative Engine Optimization (GEO), along with a solid understanding of conversion rate optimization (CRO) and landing page performance. This role requires close collaboration with the Content, Sales, and Design teams and strong communication skills to drive brand awareness, lead generation, and measurable business growth. Develop and execute SEO and GEO strategies to improve organic visibility across search engines and generative AI platforms Plan, manage, and optimize paid advertising campaigns across Google Ads (Search & Display), META (Facebook & Instagram), and LinkedIn to drive lead generation and brand awareness Conduct keyword research, intent analysis, and competitor research using tools like Ahrefs, SEMrush, and similar platforms Implement on-page, off-page, technical SEO, and GEO best practices, including content structuring for AI-driven search results Analyze and optimize landing pages and conversion funnels to improve conversion rates and campaign effectiveness Coordinate closely with the Content team to create SEO- and GEO-optimized blogs, web pages, and ad copies Work with the Design team to develop engaging and conversion-focused creatives for ads and social media Collaborate with the Sales team to align marketing campaigns with lead quality and conversion objectives Manage and grow social media channels, including content planning, publishing, engagement, and performance tracking Track, analyze, and report campaign performance using Google Analytics (GA4) and advertising platform insights Continuously optimize campaigns to improve ROI, CPL, and overall performance Stay updated with evolving AI search trends, GEO best practices, and digital marketing tools
We are looking for a Senior Software Engineer with 4–6 years of experience in building scalable backend systems using Java and Spring Boot, along with working exposure to modern frontend frameworks like Next.js and React. The ideal candidate will have strong Python skills and hands-on knowledge of AI/ML technologies, and will be responsible for designing robust backend services, contributing to UI development where needed, and building or integrating AI/ML-driven features into production systems. The role requires strong technical ownership, the ability to work across the stack, and a keen interest in applying AI/ML to real-world engineering problems. Key Responsibilities Design, develop, and maintain scalable, high-performance backend services and REST/GraphQL APIs using Java and Spring Boot. Architect and implement microservices, ensuring reliability, security, and maintainability. Contribute to frontend development using Next.js and React for internal tools, dashboards, or product features as needed. Build, integrate, and deploy AI/ML models and pipelines using Python. Collaborate with data science/ML teams to operationalize models into backend services and production workflows. Design and optimize database schemas and queries (SQL/NoSQL) for performance and scalability. Write clean, well-tested, and maintainable code following best engineering practices. Participate in system design discussions, code reviews, and architectural decisions. Integrate third-party APIs, LLM providers, and AI/ML services into existing applications. Troubleshoot and resolve issues across backend, frontend, and ML integration layers. Collaborate closely with product, QA, DevOps, and data science teams to deliver end-to-end features. Ensure application security, scalability, and performance across the stack. Maintain technical documentation for services, APIs, and ML integrations. Participate actively in Agile/Scrum ceremonies, sprint planning, and reviews. Identify opportunities to apply AI/ML capabilities to improve product features and engineering workflows.
We are seeking an experienced and highly motivated Test Lead to join our Quality Assurance team. As a Test Lead, you will be responsible for managing and coordinating all testing activities for projects, ensuring that software products meet high-quality standards before release. You will lead a team of testers, develop test plans, and work closely with developers and other stakeholders to ensure effective test execution, defect resolution, and process improvement. Key Responsibilities: Test Strategy & Planning: Develop detailed test plans and strategies based on project requirements, functional specifications, and business goals. Ensure test coverage and that testing efforts are aligned with the overall project timeline. Team Leadership: Lead and mentor a team of testers, providing guidance on best practices, technical expertise, and support in test case design, execution, and defect management. Test Case Design & Review: Oversee the creation and execution of test cases and test scripts, ensuring they are comprehensive, traceable, and aligned with project requirements. Review test artifacts for accuracy and completeness. Test Execution: Coordinate and monitor test execution, ensuring testing is done as per the plan. Track progress, manage test environments, and ensure the timely completion of testing activities. Defect Management: Manage the defect lifecycle, from logging and tracking to resolution. Work with development teams to ensure timely fixes and verify defect resolutions. Risk Management: Identify risks related to testing and product quality, raise issues proactively, and work on mitigation strategies. Reporting & Documentation: Prepare and present detailed test status reports, test metrics, and results to senior management and project stakeholders. Ensure all test documentation is up to date and accurately reflects the testing process. Process Improvement: Continuously assess testing processes and recommend improvements to enhance quality, efficiency, and effectiveness of the testing effort. Collaboration: Work closely with developers, product managers, business analysts, and other teams to ensure quality is integrated throughout the development lifecycle. Automation Leadership (if applicable): Oversee the implementation and maintenance of automated testing frameworks and scripts. Drive the automation effort to increase test efficiency.