Monitoring Specialist

Bachelor’s Degree or equivalent degree in computer science

Min 1-3 years of experience in Python and backend technology

Development experience with programming languages like C/C++, Erlang, Elixir.

Experience in Python / Go Lang is a must

Experience in creating and dealing with REST API and socket technology

Working Knowledge of RabbitMQ and Kafka

Knowledge of both SQL and NoSQL databases along with Redis and elastic search.

Working knowledge of network communication, TCP, UDP, HTTP, etc

Roles and Responsibilities:        

Participate in the entire application lifecycle, focusing on coding and debugging

Write clean code to develop functional web applications

Troubleshoot and debug applications

Perform UI tests to optimize performance

Manage cutting-edge technologies to improve legacy applications

Collaborate with Front-end developers to integrate user-facing elements with server-side logic

Gather and address technical and design requirements

Provide training and support to internal teams

Build reusable code and libraries for future use

Liaise with developers, designers, and system administrators to identify new features

Follow emerging technologies

Optimizing multiple producers and multiple consumer system

Develop a Fault-tolerant application design.

Key Responsibilities 

• Design, develop, and deploy scalable .NET applications and microservices supporting core 

retail operations.

• Build and maintain robust integrations using Kafka, REST APIs, and middleware 

components.

• Work closely with product, POS, merchandising, warehousing, and ERP teams to translate 

business needs into reliable technical solutions.

• Optimize system performance and ensure integrations remain stable across high-volume 

retail cycles.

• Implement best practices in coding, testing, CI/CD, and cloud-native architectures.

• Troubleshoot production issues with speed and a cool head—especially when it impacts 

stores.

• Document technical designs, data flows, and integration contracts clearly.

Required Skills & Experience 

• 6–8+ years of hands-on full stack development using .NET Core / .NET 6+, C#, and 

modern frontend frameworks (React/Angular preferred).

• Strong expertise in Kafka (producers, consumers, topics, partitions, schema registry).

• Solid experience designing RESTful APIs and integrating with enterprise systems.

• Prior experience in retail technology is non-negotiable—POS, inventory, warehousing, or 

ERP exposure is essential.

• Strong knowledge of relational databases (SQL Server, PostgreSQL) and caching 

frameworks.

• Experience building scalable, distributed systems that can handle peak loads.

• Familiarity with containerization (Docker/Kubernetes) is a plus.

• Excellent problem-solving skills and the ability to work independently on a contract basis.

Nice to Have 

• Experience with message brokers beyond Kafka (e.g., RabbitMQ)

• Exposure to cloud platforms (Azure/AWS/GCP)

• Knowledge of CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)

• Understanding of retail data models and omnichannel workflows

Our client is a leading mid-market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking & Portfolio Management Services. 

Candidate shall be responsible for:

• Relationship management focusing on acquiring and nurturing mid-sized & large Corporates.

• Own the overall sales strategy on lead management, team & targets for your region focusing profitability and market share.

• Strong network across C-level executives of large & mid-sized corporates. • Build the overall sales playbook, training and recruit a sales team to grow quickly across the region.

• Design value proposition/ client acquisition pitches and knack of closing deals efficiently 

• Update and educate oneself continuously on happenings in marketplace, local environment, opportunities etc. which have direct bearing on local operations. • Ensure all necessary knowledge enhancement efforts (including certifications wherever applicable). 

• Good networking with the Insurance Companies / TPAs & other key stake holder relevant to insurance broking arena.

Requirements

Qualification: MBA (Finance / Marketing) or equivalent degree from Tier I & II campus.

Experience: 6 to 10 years of exp in General Insurance Broking / Sales mainly into relationship management.

Other Requirement: 

• Superior technical skills required to understand and propose products or solutions by focusing on client requirements.

• Demonstrated ability to manage multiple stakeholders, communicate effectively with executives and balance competing priorities.

• Strategic thinker with excellent communication skills and attention to detail, as well as having the ability to communicate complex details simply.

• Degree in Computer Science.
• 3-10 years of experience as a full stack developer.
• Must have proficiency with fundamental front-end languages such as Java, Nodejs and React JS.
• Familiarity with database technology such as MySQL, Oracle, and MongoDB.
• Excellent verbal communication skills.
• Very Good problem-solving skills.

• Designing, coding and production support of the feature.
• Designing user interactions on web pages.
• Developing back-end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside graphic designers for web design features.
• Seeing through a project from conception to finished product.
• Designing and developing APIs.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.
   

• 5+ years in architecting and building Single Page Applications (SPA)
• Shipped at least 2+ applications using Angular/AngularJs
• 6+ years expertise in building Angularjs and Angular with integration and unit tests.
• Good working knowledge of other frameworks such as REACT, nodejs, meteor etc.
• Experience with package management tools such as webpack for minification, uglification etc
• Experience with creating embeddable widgets
• Expertise with CSS frameworks such as Bootstrap4

• Demonstrated expertise of building cloud native applications
• Familiarity with administration of CI/CD such as jenkins
• Responsibilities
• Develop new user-facing features
• Build reusable code and libraries for future use
• Collaborate with other team members and stakeholders to create UI/UX designs
• Ensure the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Collaborate with other team members and stakeholders

• AngularJS, Angular: 5 years (Required)
• Single Page Applications: 5 years (Required)
• CI/CD: 2 years (Preferred)
• webpack: 2 years (Preferred)
• CSS: 5 years (Preferred)
• Cloud Native: 2 years (Preferred)
• React, vuejs: 1 year (Preferred)

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