Master Trainer-Software Testing

Location: Bangalore 

Experience: 4-8 years

Interview Process - Two Rounds - First Round Virtual

Second Round-Face to Face at Bangalore

Key Skills Required

☁️ Cloud & Infrastructure

• Strong hands-on experience with AWS Cloud Services
• Proficiency in Terraform for Infrastructure as Code (IaC)
• Experience in managing scalable cloud environments

⚙️ Containerization & Orchestration

• Solid experience in Kubernetes (K8s) for container orchestration
• Understanding of microservices architecture

🔄 CI/CD & DevOps

• Hands-on experience with Azure DevOps (CI/CD pipelines)
• Experience in build, release, and deployment automation

📊 Observability & Monitoring

• Strong experience with Prometheus & Grafana
• Expertise in setting up alerts, dashboards, and monitoring system health

🔐 API Gateway & Security

• Experience with Kong or equivalent API Gateway
• Understanding of API security controls (authentication, rate limiting, policies)

🧠 Core Technical Competencies

• Strong Linux troubleshooting and system debugging skills
• Proficiency in scripting (Bash / Python / Shell)
• Understanding of networking concepts: TCP/IP, HTTP, DNS, Load Balancing
• Experience with system architecture and distributed systems

🚨 SRE Responsibilities

• Monitor system performance, reliability, and availability
• Handle incidents, perform troubleshooting, and conduct RCA
• Automate operational tasks to improve efficiency
• Build and maintain scalable, resilient infrastructure
• Collaborate with development and DevOps teams for system improvements

🧪 Good to Have

• Experience with Finacle operations
• Exposure to API/load testing tools like JMeter or Gatling
• Familiarity with logging tools like Loki

🤝 Soft Skills

• Strong communication and collaboration skills
• Ability to document processes and technical workflows clearly

🎯 Ideal Candidate

A hands-on SRE/DevOps Engineer with strong exposure to:

• AWS + Terraform + Kubernetes
• CI/CD (Azure DevOps)
• Monitoring + API Gateway security 

We are looking for an experienced React Native Developer to join our growing team.

Roles & Responsibilities:

• Build pixel-perfect, smooth UIs across both mobile platforms.

• Leverage native APIs for deep integrations with both platforms.

• Diagnose and fix bugs and performance bottlenecks for performance that feels native.

• Maintain and write clean code to ensure the product is of the highest quality.

Experience / Skills

• 6+ years of programming experience is required.

• 3+ years of React Native Experience is required

• Firm grasp of the JavaScript language and its nuances, including ES6+ syntax

• Good understanding of React Component architecture and concepts

• Hands on experience with React Native and all it's available API's and components

• Knowledge of Redux or any flux based architecture is welcome

• Knowledge of functional as well as object oriented programming

• Ability to write well-documented, clean JavaScript code

• Rock solid at working with third-party dependencies and debugging dependency conflicts

• Familiarity with native build tools, like XCode, Android Studio

https://rhatechnology.com/

Requirements

• 3+ years of experience in the Development of JAVA technology.
• Strong Java Basics
• Linux
• SpringBoot or Spring MVC
• Hands-on experience in Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Java 8
• Any Caching Mechanism
• Good at problem-solving

Good to Have Skills:

• 3 years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem-solving skills.
• Ability to work in a fast-paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding AI/ML algorithms is a plus.

Glint is India’s first hyperlocal company for autocare based out of Chennai. From providing doorstep car maintenance for our customers till working closely with India’s top unicorns. We’ve created a new category of car services with cutting-edge software and best-in-class operating procedures that enables hassle free car maintenance.

At  Glint, we believe in working in a collaborative environment. We practice flat hierarchy with more transparency and good flow of information.

The Role

The customer experience team at GLINT is looking for an "sales executive" who is passionate and self driven in reaching out the leads and driving customers and financial growth for the company. 

What will you do here ?

1. Sourcing new sales opportunities by connecting with inbound leads via calls, chats and if required, via emails. 
2. Taking care of the entire onboarding process from reaching out to leads, conversation by closing sales and onboarding them into our system. 
3. Pro-actively involve in cross selling and upselling of GLINT services by understanding the customer requirements. 
4. Taking ownership on achieving both financial and onboarding targets. 
5. Closely working with the growth team by providing keysights on the quality of the leads. 

The best fit for us 

1. Atleast 1-3 years of experience in customer faced sales. 
2. Self motivated and target oriented individual with excellent communication. 
3. Passionate about closing deals and empathetic to customer requirements. 

Skills required : 

• Cold calling 
• Excellent communication 
• Negotiation skills 
• Upselling and cross selling 

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.