Senior QA Engineer

Criteria

Mandatory

Strong Dremio / Lakehouse Data Architect profile

Mandatory (Experience 1) – 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio

Mandatory (Experience 2) – Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems

Mandatory (Technical Skills 1) – Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts

Mandatory (Technical Skills 2) – Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)

Mandatory (Architecture) – Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics

Mandatory (Governance) – Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices

Mandatory (Stakeholder Management) – Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline

Mandatory (Company) – Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

Job Title: Regional Sales head Job Category: Full time

Qualification Graduate in computer science, BE, /MBA Location Mumbai Maharastra

Salary Range 10 Lacks PA + Incentives Experience: More than 10 years

Position Overview:

As the Regional Sales Head for CBSE K-12 business, you will be responsible for driving revenue growth,

developing & managing a high-performing sales & support team, & establishing strategic partnerships within

Maharastra, Madhyapradesh, Gujarat, Rajsthan. Your leadership will be instrumental in expanding our market share

and ensuring our EdTech solutions reach a broader audience.

Required Skill set:

● Sales Leadership & process Optimization: Lead, mentor, and manage a team of Sales Managers

across four states, setting clear targets and expectations for individual and team performance with sales

processes, systems, and tools to enhance the efficiency and effectiveness of the sales team.

● Market Strategy & Analysis : Develop and execute a comprehensive sales strategy for the CBSE

K-12 segment within the assigned region, aligning it with the company's goals and objectives with

industry trends, competitor activities, and customer needs to provide insights and recommendations

● Revenue Growth: Meet and exceed regional revenue targets by identifying new business

opportunities, managing the sales pipeline, and negotiating contracts with key accounts.

● Market reporting and analysis: Regularly analyze sales data and performance metrics to provide

insights and recommendations to senior management, tracking progress against targets.

● Customer Engagement: Collaborate with the marketing team to create and execute regional

marketing strategies, promotions, and events that attract and retain customers.

● Strategic Partnerships: Identify & establish partnerships with educational institutions, school boards,

and other stakeholders to expand the company's influence and reach within the CBSE K-12 segment.

Qualification and experience:

● Bachelor's degree in Business, Marketing, or a related field (Master's degree preferred).

● Proven track record of success in regional sales leadership roles, preferably in the EdTech industry.

● Strong leadership and team management skills with the ability to motivate and mentor a sales team.

● Excellent communication, negotiation, and interpersonal skills.

● In-depth knowledge of the CBSE K-12 education sector in India.

● Analytical mindset with the ability to use data to drive decision-making.

● Results-oriented and target-driven approach to sales.

● Exceptional problem-solving abilities and adaptability.

● Proficiency in CRM software and sales tools.

● Willingness to travel within the assigned region as needed

Company Profile:

Scholarclone is an innovative EdTech company committed to transforming education through cutting-edge

technology solutions. We provide a range of online learning & administrative platforms, resources, & tools

designed to empower educators and learners alike. With a mission to make education accessible and engaging,

administrative solutions and integrated business applications to a wide spectrum of clients including education

institutes.

• Excellent communication and interpersonal skills
• Presentable personality and ability to handle clients confidently
• Open to stretch and working in a start-up/ed-tech environment
• Immediate joining required
• Age: Below 32 years

Benefits to Highlight for Candidates:

• Be part of a fast-growing ed-tech company with a positive and unique culture (refer to our LinkedIn, Glassdoor, and website for more details).
• Attractive incentive structure based on performance.
• No field sales (door-to-door). Leads are provided to counselors to connect with clients.
• Significant career growth opportunities, with high performers moving into team management roles within 1-2 years.
• Flexibility for relocation to other offices (Bangalore, Delhi, Hyderabad, Chennai) based on tenure and performance.

Roles:

• Developing core infrastructure in Python, Django.
• Developing models and business logic (e. g. transactions, payments, diet plan, search, etc).
• Architecting servers and services that enable new product features.
• Building out newly enabled product features

• Minimum 4 years of industry or open-source experience.
• Proficient in at least one OO language: Python(preferred)/Golang/Java.
• Writing high-performance, reliable and maintainable code.
• Good knowledge of database structures, theories, principles, and practices.
• Experience working with AWS components [EC2, S3, RDS, SQS, ECS, Lambda].

1. A competent user of all internal systems, to include our employee records system (HRMS- SPINE)
2. Updating and maintaining HR systems, records, and reports with accurate employee data.
3. Undertake all required pre-employment checks, updating, and discussing with line manager and recruitment team as appropriate.
4. Providing MIS & monthly employee payroll data in support of the payroll subject matter expert.
5. Processing changes to employee's circumstances, including preparing accurate and effective documentation/communication and updating relevant databases.
6. Processing leavers, including preparing accurate, relevant documentation and updating systems accordingly.
7. Producing Information reports and complete any HR audit requirements and/or reporting as required.
8. Ensuring that the end-to-end HR process always supports a positive employee experience.
9. Following existing HR processes accurately and challenging these for ongoing efficiencies.
10. Supporting HR priority projects with any administrative activity
11. Responding to emails on behalf of the department
12. Providing ad-hoc administrative support to any of the other HR functions, as necessary and in line with business requirements.

IoT backend - * Good work experience in C#.Net, Asp.Net Web APIs, Microservices

* Good development work experience in Azure: AppServices, Functions, Authentication, Consuming and leveraging Azure SAAS services, IoT services, MQTT, IoT Hub, Working with schema less databases, Timeseries database, etc

* Good experience in MS SQL

# Good to have is some development experience in front-end technologies JavaScript, Angular, React, etc

Should be SAP certified

At least 2 End-to-end implementation experience in S4HANA.Involved in workshops for requirement gathering of the client business processes.

Coordinate with the stakeholders during requirement gathering and execution phases.

Hands-on capabilities in Blueprinting, Configuration and Testing  the complete process cycles.

Possess strong knowledge on PSU relevant processes in PS, Budgeting and integration with other modules.

Desired Candidate Profile

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.