Area Sales Manager

Are you ready to join an innovative EdTech revolution that's changing the world of

education?

Look no further than Questt! Our data-driven approach is helping students of all ages

and backgrounds unlock their full potential and achieve their dreams.

As our SBDA, your responsibilities will be :

● Planning and executing cold outreach in the form of messages and calls to

attract new leads.

● Reaching out to prospects through calls or messages to assess their needs.

● Nurturing the leads, following up with them, and understanding their issues inside

out.

● Achieve agreed-upon sales targets and outcomes within schedule.

● Coordinate sales efforts with team members and other departments.

● Analyze the market’s potential, and track sales, and status reports.

● Supply management with reports on customer needs, problems, interests,

competitive activities, and potential for new products and services.

● Keep abreast of best practices and promotional trends.

● Continuously improve through feedback.

We’d additionally be looking at

● Quick Turnaround Time

● Good communication skills, ability to work with different departments

● Self-motivation, ability to work under pressure and meet deadlines

● Receptive to constructive criticism, and delivering changes as directed

● Technical know-how

To be successful in this role, you should have:

● Good knowledge of MS Office

● Highly motivated and target-driven.

● Excellent negotiation, and communication skills.

● Prioritizing, time management, and organizational skills.

● Ability to create and deliver presentations tailored to the customers' needs.

● A healthy attitude towards constructive criticism.

Nature of Work:

● Work from our Office

● You will be working 6-days a week

● You get 0-1 Building Experience

● Freedom to experiment and innovate

● High Ownership of tasks

Required Skills:-

• 5+ years of experience in Software Testing (Manual & Automation).
• Strong experience with Selenium or Playwright.
• Hands-on experience in API Testing (Postman, REST Assured, Swagger, etc.).
• Experience with CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, GitHub Actions).
• Strong understanding of Functional, Regression, and Non-functional Testing.
• Excellent analytical and debugging skills.

AI-Specific Skills

• Hands-on experience in GenAI / AI Testing.
• Experience testing LLM-based applications.
• Strong understanding of prompt engineering and prompt validation.
• Knowledge of LLM behavior, model variability, and non-deterministic outputs.
• Experience validating AI outputs for accuracy, hallucinations, bias, and safety.
• Test data management for AI applications.
• Understanding of Responsible AI testing concepts.

Job Title: Sr. DevOps Engineer

Experience Required: 2 to 4 years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

4 years + of experience in DevOps or Site Reliability Engineering (SRE).

4+ years + in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

You can directly contact us: Nine three one six one two zero one three two

JD mentioned below:

• Hands on Experience with Microsoft Power Automate Flows & Desktop versions. Experience in developing and delivering MS365 solutions based on Microsoft and Cloud best practices.
• Modelling and developing out robotic processes using Microsoft Power Automate and Azure Form Recognizer during the project development stage.
• Experience in Azure Form Recogniser
• Hands-on experience in developing, improving, and supporting RPA programs with data integrity standards.
• Proficiency in one or more system level programming languages (C#, Java, Python, Angular 12 etc.) and a willingness to learn new languages.
• Understanding data structures and follows coding best practices, e.g. naming conventions, error handling, logging, and commenting.
• Good knowledge on end to end automation analysis and feasibility.
• Ability to perform feasibility of automating business processes.
• Ability to solve a problem using critical thinking, including assessment of existing process to determine feasibility of Automation and the ability to break down business problems into logical tasks .
• Ability to perform code readability to understand how the code is implemented and documented ability to understand the dependencies for the code to run.

 Preferred Skills:

• Microsoft Power Automate certification will be an added advantage.
• Must be able to perform administration of Power Automate in Admin Centre .
• Must have hands-on experience and troubleshooting knowledge in Power Automate. Functional knowledge of Agile development and RPA development lifecycle management principles.
• Hands-on at least one other RPA Tools Blue Prism, Automation Anywhere, Ui Path etc..
• Must be able to communicate and work effectively in a multi-cultural environment.
• Must be capable of taking initiative, with a firm understanding of the final goal to be achieved.
• Must be an excellent team player possesses strong problem-solving and analytical skills.
• Able to handle confidential and sensitive company information

• Programming Language: Java, J2EE
• Framework: Spring MVC, Spring Security, Hibernate, JMS
• Strong knowledge in any one Relational Databases (Mysql / Oracle/ SQL Server).
• Operating System: Windows & Linux.
• Configuration Management: GIT
• Tools & Utilities: STS / Eclipse / IntelliJ / NetBeans.Web/Application Server: Jboss.
• Excellent hands-on experience and knowledge of SQL.
• Strong experience in Web services (SOAP and RESTFUL).
•  Should have expertise in Design Patterns, Transactions, Multi-threading concepts.
• Experience using Maven.
•  Knowledge of data structure

• Deliver entire application life cycle - concept, design, build and test complex web applications.
•  Gather requirements around functionality and translate those requirements into elegant functional and technical solutions.
•  Collaborate with cross-functional teams to define, design, and ship new features.
• Unit-test code for robustness, including corner cases, usability, and general reliability.
•  Perform bug fixing and ensure acceptable application performance.
• Continuously upgrade knowledge on technology changes, evaluate impact to application, and implement changes to ensure minimal latency in application availability to users.
•  Work closely with project/product managers while effectively working across multiple projects and delivering to deadlines.
• Mentor the team members on the nuances of technology and implement best practices within the team.

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.