Sales Engineer ( Aerospace / Defense)

About the job:

Job Title: QA Lead

Location: Teynampet, Chennai

Job Type: Full-time

Experience Level: 8+ Years

Company: Gigadesk Technologies Pvt. Ltd. [Greatify]

Website: www.greatify.ai

Company Description:

At Greatify.ai, we lead the transformation of educational institutions with state-of-the-art AI-driven solutions. Serving 100+ institutions globally, our mission is to unlock their full potential by enhancing learning experiences and streamlining operations. Join us to empower the future of education with innovative technology.

Job Description:

We are looking for a QA Lead to own and drive the quality strategy across our product suite. This role combines hands-on automation expertise with team leadership, process ownership, and cross-functional collaboration.

As a QA Lead, you will define testing standards, guide the QA team, ensure high test coverage across web and mobile platforms, and act as the quality gatekeeper for all releases.

Key Responsibilities:

● Leadership & Ownership

• Lead and mentor the QA team, including automation and manual testers
• Define QA strategy, test plans, and quality benchmarks across products
• Own release quality and provide go/no-go decisions for deployments
• Collaborate closely with Engineering, Product, and DevOps teams

● Automation & Testing

• Oversee and contribute to automation using Playwright (Python) for web applications
• Guide mobile automation efforts using Appium (iOS & Android)
• Ensure comprehensive functional, regression, integration, and smoke test coverage
• Review automation code for scalability, maintainability, and best practices

● Process & Quality Improvement

• Establish and improve QA processes, documentation, and reporting
• Drive shift-left testing and early defect detection
• Ensure API testing coverage and support performance/load testing initiatives
• Track QA metrics, defect trends, and release health

● Stakeholder Collaboration

• Work with Product Managers to understand requirements and define acceptance criteria
• Communicate quality risks, timelines, and test results clearly to stakeholders
• Act as the single point of accountability for QA deliverables

Skills & Qualifications:

● Required Skills

• Strong experience in QA leadership or senior QA roles
• Proficiency in Python-based test automation
• Hands-on experience with Playwright for web automation
• Experience with Appium for mobile automation
• Strong understanding of REST API testing (Postman / automation scripts)
• Experience integrating tests into CI/CD pipelines (GitLab CI, Jenkins, etc.)
• Solid understanding of SDLC, STLC, and Agile methodologies

● Good to Have

• Exposure to performance/load testing tools (Locust, JMeter, k6)
• Experience in EdTech or large-scale transactional systems
• Knowledge of cloud-based environments and release workflows.

Role Overview

We are looking for a hands-on DevOps Engineer who will own infrastructure, deployment, reliability, and cloud cost optimisation. You will work closely with backend, AI, and product teams to ensure the platform is secure, scalable, and always available.

This is a high-ownership role with real impact on uptime, performance, and developer velocity.

Key Responsibilities

Infrastructure & Cloud Management

• Design, deploy, and manage cloud infrastructure (GCP preferred; AWS acceptable)
• Manage Compute Engine, Cloud Run, Kubernetes (GKE), Cloud SQL, storage, and networking
• Ensure high availability, fault tolerance, and scalability

CI/CD & Deployment

• Build and maintain CI/CD pipelines for backend and AI services
• Automate deployments, rollbacks, and environment management (dev, staging, prod)
• Improve release reliability and deployment speed

Monitoring, Reliability & Security

• Set up monitoring, alerting, and logging (uptime, CPU, memory, errors, latency)
• Proactively identify and resolve performance bottlenecks and incidents
• Implement security best practices: IAM, secrets management, backups, and access controls

Cost Optimisation & Performance

• Monitor and optimise cloud costs (compute, databases, storage)
• Implement autoscaling, right-sizing, and resource optimisation
• Work with engineering teams to balance performance with cost efficiency

Required Qualifications & Skills

• 3–6 years of hands-on DevOps / Cloud Engineering experience
• Strong experience with GCP (or AWS with willingness to transition)
• Experience with Docker, Kubernetes, and containerised workloads
• Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar)
• Ability to troubleshoot production issues under pressure
• Experience with AI/ML workloads and GPU-based deployments

Strong Software Engineer, Engineering Manager Profiles

Mandatory (Experience) – Must have minimum 4+ years of hands on experience in software development

Mandatory (Tech Skillset) – Must have 3+ years of hands-on experience in backend development using Java / Node.js / Go / Python (any 1) OR 3+ YOE in frontend Development using React / Angular / Vue (any 1)

Mandatory (Mentoring Skillset) – Must have at least 1+ year of experience leading or mentoring a team of software engineers.

Mandatory (Tech Skills) – Must have a solid understanding of microservices architecture, APIs, and cloud platforms (AWS / GCP / Azure).

Mandatory (DevOps Skillset) – Must have hands-on experience working with Docker, Kubernetes, and CI/CD pipelines.

Mandatory (Company) – Top-tier/renowned product-based company (preferred Entreprise B2B SaaS)

Mandatory (Education) – Undergraduation from Tier-1 Engineering College (IIT, BITS, IIIT, NSUT, DTU, etc.)

Mandatory (Note): No hire policy from Sprinklr

Technical Skills – Must have  

 Lead the design and development of AI-driven test automation frameworks and solutions.

 Collaborate with stakeholders (e.g., product managers, developers, data scientists) to understand testing requirements and identify areas where AI automation can be effectively implemented.

 Develop and implement test automation strategies for AI-based systems, encompassing various aspects like data generation, model testing, and performance evaluation.

 Evaluate and select appropriate tools and technologies for AI test automation, including AI frameworks, testing tools, and automation platforms.

 Define and implement best practices for AI test automation, covering areas like code standards, test case design, test data management, and ethical considerations.

 Lead and mentor a team of test automation engineers in designing, developing, and executing AI test automation solutions.

 Collaborate with development teams to ensure the testability of AI models and systems, providing guidance and feedback throughout the development lifecycle.

 Analyze test results and identify areas for improvement in the AI automation process, continuously optimizing testing effectiveness and efficiency.

 Stay up-to-date with the latest advancements and trends in AI and automation technologies, actively adapting and implementing new knowledge to enhance testing capabilities.

 Knowledge in Generative AI and Conversational AI for implementation in test automation strategies is highly desirable.

 Proficiency in programming languages commonly used in AI, such as Python, Java, or R.

 Knowledge on AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.

 Familiarity with testing methodologies and practices, including Agile and DevOps.

 Working experience on Python/Java and Selenium also knowledge in prompt engineering.

Skills:

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (Redux)
• Familiarity with newer specifications of ECMAScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

Overview:

The Senior Operations Executive plays a pivotal role in overseeing the daily operations of the organization. He/she is responsible for ensuring smooth functioning across various departments, optimizing processes, and implementing strategies to enhance efficiency and productivity. This position will report directly to the Operations Manager and collaborate with department heads to achieve organizational goals. 

Key Responsibilities: 

Strategic Planning:  

• Develop and implement operational strategies aligned with the organization's objectives.  
• Identify opportunities for process improvement and cost optimization. 

Process Optimization:  

• Analyse existing operational processes and identify opportunities for improvement. 
• Develop and implement strategies to streamline workflows and enhance efficiency. 
• Establish and maintain standard operating procedures (SOPs) 

Cross-Functional Collaboration:  

• Collaborate with various departments to understand their support needs. 
• Address any operational issues that may arise and work towards resolution. 

Technology Integration: 

• Identify and evaluate new technologies or tools that can improve operational processes. 
• Oversee the implementation of new systems and ensure proper training for the team. 

Budget Management:  

• Assist in the development and management of the operations support budget. 
• Monitor expenditures and implement cost-saving measures where possible. 

Managing Operational teams:  

• Managing functional teams like technical operations, Legal, Business operations, etc, and reviewing daily/monthly planning and goals. 

Vendor Management:  

• Identify and evaluate potential vendors for operational support services. 
• Negotiate contracts and agreements to ensure favourable terms for the organization. 
• Collaborate with vendors to resolve issues and improve service delivery. 

Qualifications: 

• Must have:
• Engineering (Software/IT/Computer) +2 years of work experience + MBA (Operations/ Business Management) +3 years of experience 
• Certification in project management or operations management (e.g., PMP, Six Sigma). 
• Proficiency in MS Tools, JIRA, Atlassian, Confluence, MIRO (or any similar tool) 
• Proven experience in operations management or a similar role. 
• Strong leadership and team management skills. 
• Excellent analytical and problem-solving abilities. 
• Proficiency in project management tools and software. 
• Sound knowledge of industry regulations and compliance standards. 

Additional Requirements: 

• Flexibility to adapt to changing priorities and work in a fast-paced environment. 
• Ability to make sound decisions under pressure. 
• Commitment to maintaining confidentiality and integrity. 
• Willingness to travel occasionally as and when required. 

Benefits and perks: 

• Progressive leave policy for effective work-life balance. 
• Training and Certification budget for your professional growth and development. 
• Company-sponsored workcation once a year. 
• Multicultural peer groups and supportive workplace policies. 
• Celebrate monthly team events and fun-filled outings. 

 We are seeking a highly skilled and motivated Digital Marketing Associate with at least 2 years of experience in Pay-Per-Click (PPC) advertising. The ideal candidate will have a strong understanding of PPC strategies, campaign management, data analysis, and optimization techniques. As a PPC Specialist, you will be responsible for managing and optimizing our PPC campaigns to drive targeted traDevelop, implement, and manage PPC campaigns across various platforms such as Google Ads, Bing Ads, social media advertising and Native.

- Conduct keyword research to identify high-value keywords and develop effective revenue

- Monitor campaign performance, budget allocation, and keyword bids to ensure optimal performance and cost efficiency.

Analyze campaign data and generate actionable insights to improve campaign performance, including adjustments to bidding strategies, ad placements, and targeting.

ffic, conversions, and ROI.