
Software Development Engineer Testing (SDET)
at Company's Into Media and Information Services
● Mentor and lead a team of SDETs and QAs across multiple business units
● Lead programmatic best practices by example, be a hands on programmer and
should be able to actively participate in technical discussions
● Bringing industry best practices in QA processes
● Define and monitor quality assurance metrics for continuous quality & process
improvements across multiple engineering tracks
● Manage the automation projects and ensure their success
● Communicating clearly and openly with internal and external stakeholders
regarding progress, roadblocks, and timelines
● Hiring and training of team members
Our Requirements
● BTech/MTech in Computer Science or equivalent
● Highly skilled in writing test cases, test scripts and handling corner cases
● Should have worked on developing tools or frameworks to test complex
micro-services, client applications, systems at scale.
● Expert level knowledge in one or more programming languages(preferably in
JavaScript/Java)
● Good knowledge on the Infrastructure, CI/CD toolchains and ecosystem
● Excellent knowledge of databases and querying language

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About Amagi & Growth
Amagi Corporation is a next-generation media technology company that provides cloud broadcast and targeted advertising solutions to broadcast TV and streaming TV platforms. Amagi enables content owners to launch, distribute and monetize live linear channels on Free-Ad-Supported TV and video services platforms. Amagi also offers 24x7 cloud managed services bringing simplicity, advanced automation, and transparency to the entire broadcast operations. Overall, Amagi supports 500+ channels on its platform for linear channel creation, distribution, and monetization with deployments in over 40 countries. Amagi has offices in New York (Corporate office), Los Angeles, and London, broadcast operations in New Delhi, and our Development & Innovation center in Bangalore. Amagi is also expanding in Singapore, Canada and other countries.
Amagi has seen phenomenal growth as a global organization over the last 3 years. Amagi has been a profitable firm for the last 2 years, and is now looking at investing in multiple new areas. Amagi has been backed by 4 investors - Emerald, Premji Invest, Nadathur and Mayfield. As of the fiscal year ending March 31, 2021, the company witnessed stellar growth in the areas of channel creation, distribution, and monetization, enabling customers to extend distribution and earn advertising dollars while saving up to 40% in cost of operations compared to traditional delivery models. Some key highlights of this include:
· Annual revenue growth of 136%
· 44% increase in customers
· 50+ Free Ad Supported Streaming TV (FAST) platform partnerships and 100+ platform partnerships globally
· 250+ channels added to its cloud platform taking the overall tally to more than 500
· Approximately 2 billion ad opportunities every month supporting OTT ad-insertion for 1000+ channels
· 60% increase in workforce in the US, UK, and India to support strong customer growth (current headcount being 360 full-time employees + Contractors)
· 5-10x growth in ad impressions among top customers
o Plan to ensure that the weekly and monthly targets are met for each and every individual of the team.
o Conduct reviews for the team members’ performance and take corrective actions, if any
• Marketing:
o Keep abreast of best practices and promotional trends and plan marketing activities
o Generate customer leads by running various marketing campaigns in their region
• Analytics:
o Utilize sales data to understand market trends and potential, and furnish reports
o Develop and optimize sales processes to continuously improve
• Sales:
o Present, promote and sell services using solid arguments to prospective customers
o Understand customer’s requirements and pitch services accordingly from the available product offerings of the company
o Heavily sales driven work, with a team handling of 10-20 people.
o Reach out to customers through cold calling and schedule for final sales
• Team handling experience of at least 3-4 years (Sales)
• Comfortable to work on the ground
• Strong people management skills and the inclination towards data-driven based decision-making approach
• Strong network to generate leads continuously for the team
• Ability to create a detailed plan to achieve the revenue targets expected in the company
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• A strong network of brand/corporates and other channel partners for lead generation
• Ability to start rolling from Day 1
• Excellent knowledge of Microsoft Office
• Should be able to identify challenges of associates and guide the team for better conversions
• Must be self-driven and result oriented
• Strong written and verbal communication with impeccable attention to finer details
• Demonstrated leadership of leading initiatives and projects
• Highly motivated individuals who are performance-driven and goal-oriented
• Start-up (all-hands-on-deck) approach
Job Title: Onboarding Specialist
Location: India – Noida, Bengaluru, Remote
Shift: Global (Territory Specific)
Job Function: Customer Experience
Employment Type: Full Time
Company:
SaaS Labs, founded in 2016, is a fast-growing company in the software as a service “SaaS” space focusing on the cloud contact centre space. The cloud contact centre space is a fast-growing market with an addressable opportunity of $24B globally and is expected to witness explosive growth in the next few years. The company was founded by Gaurav Sharma, who is a third-time entrepreneur, having successfully sold both his previous companies (in 2012 and 2016). With a current employee strength of 75, SaaS Labs expects to double it by the end of 2021. Bootstrapped since inception, the firm recently closed a large venture capital round from two large global funds The firm has two core products for now - justcall.io (https://justcall.io/) and helpwise.io (https://helpwise.io/) and the vision is to build a portfolio of contact centre offerings and not just restrict to these products only.
About the Role
As an Onboarding Specialist, you will become a product expert and ensure that customers achieve their desired outcomes quickly and efficiently drive value throughout the onboarding experience. You will set up customers for immediate success by facilitating the implementation process, and educate them on the product, help solve their technical concerns and ensure smooth adoption of the product and services. As an onboarding specialist, you act as a customer's trusted advisor and have the potential to influence their future journey with SaaS Labs products.
Responsibilities
- Develop a comprehensive understanding of the customer needs, including business objectives and challenges.
- Record the use cases, customer requirements and customization requests
- Develop success plans for the customer to quickly achieve their desired outcomes
- Train customers on the product features and educate how they help achieve the desired objectives
- Drive the implementation of product for all the new customers to ensure they achieve their first aha moment quickly
- Develop and educate the customer on the best practices
- Collaborate with sales, product, engineering and success teams to ensure the customer requirements are met
- Engage the right stakeholders and establish strong relationships with new and existing customers and leverage feedback for continuous improvement of the process
- Take ownership of the onboarding the customer, identify and target ‘at risk’ customers and take appropriate steps to engage with them proactively, understand the concerns and drive resolution
- Ensure a successful warm handover of the customer post the onboarding cycle to the customer success team without letting the baton to drop.
Qualifications
- Has 2-4 years of experience in a high touch, low touch or tech touch customer onboarding in a B2B SaaS or Tech Product based company
- Should have worked with the C-level and senior executives
- Should be open to aligning with US / EU / AUS time zones
- Has exceptional ability to communicate and foster positive business relationships
- Showcases exemplary written and verbal communication skills to work along with global customers
- Has strong problem solving and analytical skills
- Has worked with global customers, and across different segments in the past
- Exhibit a true passion for customers and for customer success
- Preferred experience of working with at least one Customer Success tool like Gainsight, Totango, ChurnZero, or similar.
Be Part Of Building The Future
Dremio is the Data Lake Engine company. Our mission is to reshape the world of analytics to deliver on the promise of data with a fundamentally new architecture, purpose-built for the exploding trend towards cloud data lake storage such as AWS S3 and Microsoft ADLS. We dramatically reduce and even eliminate the need for the complex and expensive workarounds that have been in use for decades, such as data warehouses (whether on-premise or cloud-native), structural data prep, ETL, cubes, and extracts. We do this by enabling lightning-fast queries directly against data lake storage, combined with full self-service for data users and full governance and control for IT. The results for enterprises are extremely compelling: 100X faster time to insight; 10X greater efficiency; zero data copies; and game-changing simplicity. And equally compelling is the market opportunity for Dremio, as we are well on our way to disrupting a $25BN+ market.
About the Role
The Dremio India team owns the DataLake Engine along with Cloud Infrastructure and services that power it. With focus on next generation data analytics supporting modern table formats like Iceberg, Deltalake, and open source initiatives such as Apache Arrow, Project Nessie and hybrid-cloud infrastructure, this team provides various opportunities to learn, deliver, and grow in career. We are looking for innovative minds with experience in leading and building high quality distributed systems at massive scale and solving complex problems.
Responsibilities & ownership
- Lead, build, deliver and ensure customer success of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product.
- Work on distributed systems for data processing with efficient protocols and communication, locking and consensus, schedulers, resource management, low latency access to distributed storage, auto scaling, and self healing.
- Understand and reason about concurrency and parallelization to deliver scalability and performance in a multithreaded and distributed environment.
- Lead the team to solve complex and unknown problems
- Solve technical problems and customer issues with technical expertise
- Design and deliver architectures that run optimally on public clouds like GCP, AWS, and Azure
- Mentor other team members for high quality and design
- Collaborate with Product Management to deliver on customer requirements and innovation
- Collaborate with Support and field teams to ensure that customers are successful with Dremio
Requirements
- B.S./M.S/Equivalent in Computer Science or a related technical field or equivalent experience
- Fluency in Java/C++ with 8+ years of experience developing production-level software
- Strong foundation in data structures, algorithms, multi-threaded and asynchronous programming models, and their use in developing distributed and scalable systems
- 5+ years experience in developing complex and scalable distributed systems and delivering, deploying, and managing microservices successfully
- Hands-on experience in query processing or optimization, distributed systems, concurrency control, data replication, code generation, networking, and storage systems
- Passion for quality, zero downtime upgrades, availability, resiliency, and uptime of the platform
- Passion for learning and delivering using latest technologies
- Ability to solve ambiguous, unexplored, and cross-team problems effectively
- Hands on experience of working projects on AWS, Azure, and Google Cloud Platform
- Experience with containers and Kubernetes for orchestration and container management in private and public clouds (AWS, Azure, and Google Cloud)
- Understanding of distributed file systems such as S3, ADLS, or HDFS
- Excellent communication skills and affinity for collaboration and teamwork
- Ability to work individually and collaboratively with other team members
- Ability to scope and plan solution for big problems and mentors others on the same
- Interested and motivated to be part of a fast-moving startup with a fun and accomplished team
Below are the skill set needed for the immediate Lanner board bring up requirements
- Good understanding of Linux kernel modules, with familiarity of kernel debugging, good shell scripting
- 4 to 6 years of experience
- Knowledge in board bring up, bootloader ( U-boot/BIOS/GRUB2 etc..) and device drivers
- Strong C programming with knowledge of networking protocols ( L2/L3, TCP.UDP, HTTPS etc..)
This is the white-box variant would be using
https://www.lannerinc.com/products/network-appliances/x86-desktop-network-appliances/nca-1515">https://www.lannerinc.com/products/network-appliances/x86-desktop-network-appliances/nca-1515
About Mastercard
We are the global technology company behind the world’s fastest payments processing network.
We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.
We ensure every employee has the opportunity to be a part of something bigger and to change lives.
We believe as our company grows, so should you.
We believe in connecting everyone to endless, priceless possibilities.
Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.
Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.
It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.
What we are re looking for
- Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
- Have you managed the client independently and effectively?
- Do you want to play a key role in driving a world beyond cash?
- Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
- Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
- Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
- Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
- Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
- Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
- Proving viability of the solution through mechanisms like proof-of-concepts
- Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
- Self-driven, energetic, creative with ability to work in global teams.
- Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
- Provide technical leadership to the team members in relevant topics on AI/ML
- Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
- Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
- Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
- Consulting and Project Management Experience preferred
Functional and Technical Skills
- Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
- Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
- Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
- Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
- Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
- Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
- Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
- Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
- Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning
Qualifications
- Minimum Graduate degree in Mathematics/Computer Science/Engineering










