Influencer marketing business development

Position Name : Senior QA Lead

Location : Bengaluru Main Campus, Whitefield, Bengaluru

Work Mode : Hybrid – 3 days WFO

Experience : 10 to 20 Years

Notice Period : Immediate Joiner to 15 Days

Role Overview :

Tesco is seeking a Senior QA Lead with a strong background in automation testing, SDLC, Agile methodologies, and CI/CD tools. The ideal candidate should have expertise in Java-based test automation, performance testing tools, and problem-solving.

Must-Have Skills :

✅ Programming : Proficiency in Java.

✅ Test Automation : Hands-on experience with frameworks like -Selenium, Rest Assured, Appium, TestNG, JUnit.

✅ SDLC & Agile : Strong knowledge of software development life cycle (SDLC) and Agile methodologies.

✅ CI/CD Tools: Experience with Jenkins, GitLab CI.

✅ Performance Testing : Familiarity with tools like JMeter, LoadRunner.

✅ Problem Solving : Strong analytical and root cause analysis skills.

✅ Communication : Ability to collaborate effectively with cross-functional teams.

Good-to-Have Skills :

🔹 Oracle Financials : Fusion (SaaS) & Oracle Financials R12.

🔹 Strong functional knowledge of allied applications/modules :

• Fusion/R12 GL, AP, AR, Cash Management, FA, Interfaces & Integrations.
• Treasury Risk Management.

Key Responsibilities :

🔹 Test Automation & Framework Development : Design, develop, and maintain automated test frameworks.

🔹 Collaboration : Work closely with development teams to define and execute test strategies.

🔹 Regression & Quality Assurance : Conduct thorough regression testing and ensure high-quality releases.

🔹 Bug Tracking & RCA : Identify, record, and track defects while performing root cause analysis.

🔹 Mentorship : Guide and mentor junior SDETs, improving QA processes.

🔹 Process Optimization : Participate in code reviews and enhance testing methodologies.

🔹 Industry Awareness : Stay updated with the latest trends in software testing.

As a Lead Artificial Intelligence Engineer at Leapfrog Technology, you will be at the forefront of shaping the future of data-driven solutions. You'll lead a talented team, drive the development of innovative AI projects, and work collaboratively across functions to turn complex business challenges into actionable insights.

Key Responsibilities:

● Leadership Excellence: Lead and inspire a team of AI Engineers and Data Scientists, fostering a culture of innovation, collaboration, and continuous growth.

● End-to-End Ownership: Take full ownership of the AI project lifecycle, from ideation and design to development, deployment, and maintenance.

● Technological Innovation: Explore and assess emerging technologies to enhance the performance, maintainability, and reliability of AI systems.

● Engineering Best Practices: Apply robust software engineering practices to AI, including CI/CD pipelines, automation, and quality assurance.

● Architectural Leadership: Collaborate with technology experts to make informed architectural decisions, and ensure thorough technical documentation.

● Risk Mitigation: Proactively identify and address project risks, conduct root cause analysis, and implement preventive measures.

● Cross-functional Collaboration: Engage closely with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers, to deliver impactful data-driven solutions.

● Continuous Learning: Stay at the cutting edge of data science, ML, and AI developments, and leverage emerging technologies to solve complex business problems.

● Mentorship and Growth: Coach and motivate team members, identify training needs, and foster their professional development.

● Organizational Excellence: Actively uphold and promote the company's culture, processes, and standards to ensure consistent excellence in our work.

Job requirements

Education and Experience:

• A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
• Minimum 6+ years of hands-on experience in AI/ML or Data Science, preferably in real industry settings, with a track record of building data products that have positively impacted customer satisfaction and revenue growth.

Technical Skills:

• Proficiency in a wide range of Machine Learning techniques and algorithms, with the ability to apply advanced analytics methods, including Bayesian statistics, clustering, text analysis, time series analysis, and neural networks on large-scale datasets.
• Expertise in at least one specialized area of application, such as Computer Vision or Natural Language Processing (NLP). (NLP Expertise preferred)
•  Strong programming skills in Python, including expertise in the data ecosystem (Numpy, Scipy, Pandas, etc.) or equivalent skills in languages like R, Java, Scala, or Julia, with a focus on producing production-quality code.
• Hands-on experience with popular ML frameworks like Scikit-Learn, PyTorch, or TensorFlow.
• Expertise with Generative AI and Large Language Models (LLMs) along with their implementation in real-life applications.
• Experience building end-to-end ML systems (MLOps).
• Experience in deploying code in web frameworks such as Flask, FastAPI or Django.
• Experience working in a cloud environment like AWS, Azure, or GCP for ML work.
• Good grasp of SQL/NoSQL databases and scripting skills, particularly within analytics platforms and data warehouses.
• Good grasp of software engineering concepts (SDLC, Version Control, CI/CD, Containerization, Scalability and so on), programming concepts, and tools/platforms like Git and Docker.
• Bonus: Experience with Big Data technologies such as Apache Spark, Kafka, Kinesis, and cloud-based ML platforms like AWS SageMaker or GCP ML Engine.
• Bonus: Experience with data visualization and dashboard tools like Tableau or Power BI.

    Soft Skills:

• Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
• Ability to work with cross-functional and cross-regional teams.
• Ability to lead a team of Data/AI professionals and work with senior management, technological experts, and the product team.
• Excellent written and verbal communication skills, comfortable with client communication.
• Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.
• Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
• Possess excellent analytical and problem-solving abilities.
• Good documentation skills.
• Experienced with Agile methodologies like Scrum/Kanban

Job Description:

Production Assurance and Maintenance Activities

1. Production Assurance L2 and L3 activities (Incident reporting and management, Incident resolution and RCA, Real time communication, Assigning defect severity and triaging, On-call Support, UAT support and deployment)

2. Application Maintenance (Software maintenance, Disaster recovery Planning and support, Business Continuity planning and support, Application documentation, Release Management activities, Configuration management, Change Control documentation, Metrics reporting etc

Development Activities

1. Business Requirements (BRD Reviews, Impact analysis and high level estimation)

2. High Level Design

3. Low Level design

4. Build (development, Unit Testing, Code reviews and static performance reports)

5. User Acceptance Testing Support (Defect resolution etc)

6. Performance testing Support and issue resolution

7. Implementation and Control (Implementation support and Post implementation support)

8. Configuration Management

9. DOcumentation and Reporting

Hiring for the below position with one of our premium client

Role: Senior DevOps Engineer

Exp:7+ years

Location: Chennai

Key skills: DevOps, Cloud, Python scripting

Description:

 Strong analytical and problem-solving skills 

Ability to work independently, learn quickly and be proactive

 7-9 years overall and at least 3-4 years of hands-on experience in designing and managing DevOps Cloud infrastructure

 Experience must include a combination of:

o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)

o Ability to write and maintain code in at least one scripting language (Python preferred)

o Practical knowledge of shell scripting

o Cloud knowledge – AWS, VMware vSphere

o Good understanding and familiarity with Linux o Networking knowledge – Firewalls, VPNs, Load Balancers o Web/Application servers, Nginx, JVM environments

o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.

o Familiarity with logging systems - Logstash, Elasticsearch, Kibana o Git, Jenkins, Jira 

If interested kindly apply!

                                                         Lead - Quality Analyst

About us :

ImpactGuru.com was incubated at Harvard Innovation Lab, USA in 2014. We at ImpactGuru strive to empower people and help them raise funds for their causes. Whether it’s for patients facing medical emergencies such as Covid-19, cancer, organ transplants, or for nonprofits fundraising for their programs, or for individuals raising money to fund animal causes, education expenses, or any other cause that they are passionate about, we have got you covered.

In the last 7 years, ImpactGuru has been providing fundraising assistance. We along with our global partners have been successful in mobilizing over Rs 1,500 crores / $200mm and have touched more than 1 crore / 10mm lives.  

Website - link : https://www.impactguru.com/about-us">https://www.impactguru.com/about-us

Job Description :

- Review and analyze system specifications

- Design/Execute test cases (manual or automated) and analyze results, cross-browser / cross-device

- Test REST APIs using Postman, automation scripts

- Create logs to document testing phases and defects

- Report bugs and errors to development teams

- Manage bug and support queues for internal customers

- Help troubleshoot issues with strong analytical and problem-solving skills

- Conduct post-release/ post-implementation testing

- Work with cross-functional teams to ensure quality throughout the software development lifecycle.

 Requirements :

- Proven work experience in software quality assurance

- Proven experience as an automated QA tester is a plus

- Experience in Selenium Framework Creation/Maintenance with Java or any other automation tool apart from Selenium is a plus

- QA experience in Android / iOS apps

- Experience testing API/REST services

- Experienced with test case creation and execution to cover Functional, Regression, Integration, and E2E testing.

- Familiarity with Agile frameworks and regression testing

- Knowledge of using NoSQL/SQL, JMeter, Selenium

- Experience working in an Agile/Scrum development process

- Ability to document and troubleshoot errors

- Working knowledge of test management software (e.g. Jira, qTest, QC, QA tech, Bugzilla)

- Experience with performance and/or security testing is a plus

- Excellent communication skills

- Analytical mind and problem-solving aptitude

- Payments, Payment Gateway, Fintech, Ecommerce domain knowledge - preferred

Perquisites & Benefits :

- Opportunity to be part of a diverse working environment, valuable social sector work experience

- Mentorship on career development and progress

- Fun, casual, relaxed, and flexible work environment

- Fun Zone & Music

- Flexible 9 hours shift between 9.00 am to 8.00 pm

Location: Andheri, Mumbai