Customer Engineer : Presales Consultant

About Us

Tradelab Technologies is a leading fintech company building high-performance trading platforms, low-latency systems, and scalable market infrastructure for the global trading and broking ecosystem. We work at the intersection of technology, trading, and innovation.

Role Overview

We are looking for an experienced Python Backend Developer with strong expertise in trading, low-latency systems, or high-frequency trading (HFT). The ideal candidate will design, develop, and optimize backend components powering real-time trading systems.

Key Responsibilities

• Develop and maintain backend microservices and real-time trading components using Python.
• Build low-latency, high-throughput systems optimized for trading workflows.
• Integrate with market data feeds, order management systems, APIs, and broker/exchange interfaces.
• Write clean, scalable, and high-performance code with a focus on reliability and fault tolerance.
• Work closely with product, QA, and DevOps teams to deliver robust and scalable platforms.
• Troubleshoot production issues and optimize system performance.
• Ensure system security, stability, and compliance with industry standards.

Required Skills & Experience

• 5–8 years of backend development experience with Python.
• Strong experience in trading/HFT/fintech/market infrastructure is mandatory.
• Deep understanding of algorithms, data structures, and system design.
• Experience working with multithreading, multiprocessing, asynchronous programming.
• Strong knowledge of API development (REST, WebSockets).
• Experience with Redis, Kafka, RabbitMQ, PostgreSQL/MySQL, or similar technologies.
• Hands-on experience building low-latency and high-availability systems.
• Familiarity with Linux systems, shell scripting, and performance profiling.
• Exposure to FIX protocol, OMS, RMS, or market data systems is a plus.

Good to Have

• Knowledge of microservices architecture and containerization (Docker, Kubernetes).
• Understanding of exchange trading mechanisms and order lifecycles.
• Prior experience in broker terminals, algo systems, or risk engines.

Why Join Tradelab Technologies?

• Work on cutting-edge trading technologies impacting millions of users.
• Fast-paced, innovation-driven engineering culture.
• Opportunity to build mission-critical systems in fintech and HFT.
• Competitive compensation and growth opportunities.

Position: sales Manager (Building material- Tiles, Gypsum, Stone, Pipes, Ceramic etc)

Experience: At least 3 years’ experience in Building Material like Bison Panel, fiber cement board, gypsum board, sandwich panels, boards, Tile adhesive, Putty, Block fix, Marble, Granite, Stone, Pipes, Ceramic etc

Salary: negotiable

Location: Baroda, Ahmadabad, Mumbai

Industry: Building material. manufacturing

JOB SUMMARY

As a Sales Manager, your role will involve traveling to various locations to promote and sell products to targeted

customers and existing clients. This position requires actively engaging with potential clients, maximizing sales

opportunities, and fostering strong customer relationships.

Job Duties :

• Focus on selling products and services to potential customers in a designated region.
• Travel to find new construction sites and meet site engineer, contractors and consultants, architects, dealers, builders and distributors.
• Contact clients and prospects to understand their needs and present products.
• Conduct price negotiations to reach favorable agreements for both parties.
• Stay informed about industry trends, including product prices and demand.
• Set and achieve sales targets to contribute to business growth.
• Generate business leads and maintain statistical data for reporting purposes.
• Daily sales reports to reporting head.

mail updated resume with current salary-

email: jobs [at] glansolutions[dot]com

satish: 88 O2 74 97 43

• Extensive exposure to at least one Business Intelligence Platform (if possible, QlikView/Qlik Sense) – if not Qlik, ETL tool knowledge, ex- Informatica/Talend
• At least 1 Data Query language – SQL/Python
• Experience in creating breakthrough visualizations
• Understanding of RDMS, Data Architecture/Schemas, Data Integrations, Data Models and Data Flows is a must

Responsibilities:

• Creating a positive onboarding experience for new clients.
• Manage daily activities and tasks for clients by Line Manager
• Regularly interacting with clients through telephone calls, email communications, or face-to-face meetings.
• Responding to clients' requests as they arise in real time
• Maintaining an accurate record of all necessary documents pertaining to the brand.
• Coordinate with various internal teams to deliver Creative, Data Analytics, Tech and Operational Services
• Develop a relationship with clients and manage their expectations (Kudos if you can balance the two together!)
• Upsell! Always be on the lookout to identify opportunities and convert them to grow revenue
• Ensure that projects are completed on time and within budget.
• Coach and support team members to help them meet departmental goals
• Take responsibility for the quality of work, the accuracy of the brief, and the team’s output
• Maintain weekly, fortnightly, and monthly reports 
• Meeting clients to discuss strategy and report on progress
• Keep ahead of the industry’s developments and apply best practices to areas of improvement
• Maintain an orderly workflow according to priorities

BECOME A PEOPLE’S PERSON!

• Exhibit strong leadership skills and inspire your team members
• Stick to the client’s brief and the agreed process to deliver effectively
• Utilize your team’s productivity keeping the Scope Of Work and allocated budget
• Be all ears to Account Managers and mentors to get the best performance possible

IMPROVE THE PROCESS!

• Relentlessly work on improving the internal processes while solving problems along the way

COMMUNICATE AND COLLABORATE!

• Manage all business communications
• Become a link for the internal team and make sure the process is consistently followed until the project is completed as per the client’s brief

SKILLS WE DESIRE

• Develop and maintain existing client relationships.
• Excellent organizational and time management skills.
• Strong analytical and problem-solving skills.
• Effective communication skills.
• A+ presentation skills (making PPTs included)
• Natural attention to detail
• Financial management and commercial acumen
• Advanced software skills including Word

We are seeking a Azure Infrastructure Engineer to join our team. This role involves deploying, managing, and optimizing Azure resources while ensuring their security, performance, and compliance. The engineer collaborates with clients, cross-functional teams, and senior engineers to provide exceptional support for our managed services client portfolio.

​

Responsibilities:

• Assist in the deployment and configuration of Azure resources, including virtual machines, databases, and Azure App Services following best practices and client requirements.
• Utilize Azure Migrate to assist with migration projects.
• Monitor the performance, security, and availability of Azure services and promptly address any issues or outages.
• Perform server updates and apply security patches.
• Identify future engagement opportunities during existing client engagements and convey those needs to account executives and practice leadership.
• Participate in an on-call rotation.
• After hours / weekend work may be a required.
• All other duties as assigned.

Requirements:

• Advanced degree or relevant certifications in Information Technology, or a related field are a plus.
• Accountability to drive resolution to completion.
• Familiarity with the Azure Portal.
• Knowledge of Microsoft Office 365 suite, including Outlook, SharePoint, Teams, and OneDrive.
• Troubleshoot and resolve common problems efficiently.
• Proficiency in scripting languages (PowerShell / Azure CLI) to automate tasks, deploy resources, and manage Azure infrastructure.
• Familiarity with cloud computing concepts, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
• Effective verbal and written communication skills to collaborate with clients, team members, and stakeholders.

Preferred Knowledge, Skills, and Abilities:

• Two or more years in IT or working with cloud technology.
• Experience working for an MSP.
• Ability to identify and resolve common Azure-related issues, including network configurations, security settings, and performance optimization.
• Create detailed documentation for configurations, troubleshooting procedures, and solutions.

Benefits:

• Work Location: Remote
•  days working

You can apply directly through the link: https://zrec.in/mnWs1?source=CareerSite

Explore our Career Page for more such jobs : careers.infraveo.com

• Explain the customers - based on product offers/benefits
• Promoting the products
• Customer follow-up
• Feedback - emails/phones (communication channel)
• Maintain register for the same
• Handle Telephone Calls. And handle Lead Validation and sending the Lead to the concerned executive in the CRM and Whatsapp.
• Looking for an ambitious and energetic individual for Telecaller Executive/ Customer Care Executive/Customer Support Executive /inbound, to help us expand our clientele. Who will be the face of the company and should have the dedication to create and apply an effective sales strategy.
• Should have good Communication Skills and Convincing Power.
• Keep records of calls and sales and note useful information
• Completely work from home opportunity
• Answer calls in a professional manner
• Get leads from Justdial
• Answer customer queries
• Call up customers & understand leads
• Pass requirement to the sales team

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