Graphic Design Intern

We're Hiring For Delivery Manager (Trading)

Location:Banaglore

About Us

Tradelab Technologies is a leading FinTech and capital markets technology company,headquartered in India, which develops high-performance software solutions for stock brokers,trading platforms, and financial institutions. Founded in July 2012 and incubated by a specialR&D cell at IIT Kharagpur, we are at the forefront of building the next generation of tradingtechnology. Our product portfolio includes advanced trading terminals, order-managementsystems (OMS), risk-management systems (RMS), low-latency exchange platforms, multi-cryptowallet solutions, and KYC/Compliance systems. We are defined by our commitment to "lowlatency," "high performance," and "real-time" systems that power the industry.

Role

We are seeking an accomplished Delivery Manager to lead the successful implementation anddelivery of Tradelab's mission-critical trading technology solutions to enterprise clients. You willbe responsible for managing the complete delivery lifecycle—from project planning andresource allocation to client onboarding and post-deployment support—ensuring that our OMS,RMS, trading terminals, and wallet solutions are deployed on time, within scope, and to thehighest quality standards.

Key Responsibilities

● Manage end-to-end delivery of Tradelab's product implementations including tradingterminals, OMS, RMS, exchange connectivity platforms, and crypto wallet solutions

● Lead cross-functional delivery teams including developers, QA engineers, architects,and support personnel to execute complex deployment projects

● Define project scope, timelines, resource requirements, and risk mitigation strategies incollaboration with clients and internal stakeholders

● Serve as the primary point of contact for enterprise clients duringimplementation,ensuring clear communication and expectation management

● Coordinate technical integration activities with client IT teams, exchanges, clearingsystems, and third-party vendors

● Oversee UAT planning and execution, ensuring comprehensive testing of tradingworkflows, risk controls, and compliance requirements

● Monitor project health through KPIs and metrics, proactively identifying and resolvingbottlenecks and risks

● Manage change requests and scope variations while maintaining project profitability andclient satisfaction

● Drive continuous improvement initiatives to optimize delivery processes andmethodologies

● Ensure adherence to regulatory and compliance requirements during systemdeployments

● Facilitate knowledge transfer and training sessions for client teams post-deployment

Skills & Experience

● 6-10 years of experience in project/delivery management, with a proven track record ofsuccessfully delivering enterprise software solutions

● Prior experience in the FinTech or Capital Markets industry is mandatory

● Strong understanding of trading systems architecture, order management, riskmanagement, and exchange connectivity

● Expertise in agile and waterfall project management methodologies with relevantcertifications (PMP, Scrum Master, SAFe) preferred

● Demonstrated ability to manage multiple concurrent projects with competing prioritiesand dependencies

● Excellent stakeholder management skills with experience handling C-level clientinteractions● Strong technical acumen to understand system architectures, integration requirements,and deployment complexities

● Proficiency with project management tools such as Jira, MS Project, or similar platforms

● Outstanding communication, negotiation, and conflict resolution skills

● Experience managing geographically distributed teams and working in fast-paced,dynamic environments

● Bachelor's degree in Engineering, Computer Science, or related field; MBA or advanced degree is a plus

Why Join Us?

Join a pioneering technology company that is revolutionizing the capital markets infrastructure.At Tradelab, you'll have the opportunity to work on cutting-edge, high-performance tradingtechnology that powers some of the most demanding real-time systems in the financial industry.Born from IIT Kharagpur's innovation ecosystem and backed by over a decade of domainexpertise, we offer an environment where your contributions directly impact the future of tradingtechnology. Be part of a high-growth FinTech journey where innovation meets execution.

Key Responsibilities:

● Onboarding & Engagement: Assist in the onboarding of new customers, guiding them through the

platform features and functionality to ensure they can quickly gain value from the product.

● Customer Support: Respond to customer inquiries, troubleshoot issues, and provide timely assistance

via email, chat, or phone to resolve basic questions and technical challenges.

● Customer Education: Help create and maintain knowledge base articles, FAQs, and user guides to help

customers navigate the platform independently.

● Data Collection & Feedback: Collect and analyze customer feedback to identify pain points, common

requests, and trends, sharing insights with the Customer Success team for ongoing improvement.

● Churn Reduction Support: Identify early signs of customer dissatisfaction and collaborate with the team

to proactively address potential issues, helping improve retention rates.

● Metrics & Reporting: Track and report on customer success metrics such as engagement rates, NPS

scores, and churn/renewal statistics.

● Process Improvement: Work with the team to streamline customer success processes, suggesting new

ideas to improve customer experience and satisfaction.

Learning & Development Opportunities

● Customer Success Fundamentals: Gain exposure to core principles of customer success and lifecycle

management.

● Tools & Software: Hands-on experience with CRM and customer success tools like Salesforce,

Zendesk, Intercom, or similar platforms.

● Data Analytics: Learn how to analyze customer success metrics and identify actionable insights.

● Cross-functional Collaboration: Work closely with sales, product teams.

Key Responsibilities:

• Design, develop, and maintain robust and scalable backend applications using Core Java and Spring Boot.
• Build and manage microservices-based architectures and ensure smooth inter-service communication.
• Integrate and manage real-time data streaming using Apache Kafka.
• Write clean, maintainable, and efficient code following best practices.
• Collaborate with cross-functional teams including QA, DevOps, and product management.
• Participate in code reviews and provide constructive feedback.
• Troubleshoot, debug, and optimize applications for performance and scalability.

Required Skills:

• Strong knowledge of Core Java (Java 8 or above).
• Hands-on experience with Spring Boot and the Spring ecosystem (Spring MVC, Spring Data, Spring Security).
• Experience in designing and developing RESTful APIs.
• Solid understanding of Microservices architecture and related patterns.
• Practical experience with Apache Kafka for real-time data processing.
• Familiarity with SQL/NoSQL databases such as MySQL, PostgreSQL, or MongoDB.
• Good understanding of CI/CD tools and practices.
• Knowledge of containerization tools like Docker is a plus.
• Strong problem-solving skills and attention to detail.

About Kloud9:

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

Responsibilities:

●       Studying, transforming, and converting data science prototypes

●       Deploying models to production

●       Training and retraining models as needed

●       Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their respective scores

●       Analyzing the errors of the model and designing strategies to overcome them

●       Identifying differences in data distribution that could affect model performance in real-world situations

●       Performing statistical analysis and using results to improve models

●       Supervising the data acquisition process if more data is needed

●       Defining data augmentation pipelines

●       Defining the pre-processing or feature engineering to be done on a given dataset

●       To extend and enrich existing ML frameworks and libraries

●       Understanding when the findings can be applied to business decisions

●       Documenting machine learning processes

Basic requirements: 

●       4+ years of IT experience in which at least 2+ years of relevant experience primarily in converting data science prototypes and deploying models to production

●       Proficiency with Python and machine learning libraries such as scikit-learn, matplotlib, seaborn and pandas

●       Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc

●       Experience in working with ML frameworks like TensorFlow, Keras, OpenCV

●       Strong written and verbal communications

●       Excellent interpersonal and collaboration skills.

●       Expertise in visualizing and manipulating big datasets

●       Familiarity with Linux

●       Ability to select hardware to run an ML model with the required latency

●       Robust data modelling and data architecture skills.

●       Advanced degree in Computer Science/Math/Statistics or a related discipline.

●       Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)

Nice to have

●       Familiarity with Java, and R code writing.

●       Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

●       Verifying data quality, and/or ensuring it via data cleaning

●       Supervising the data acquisition process if more data is needed

●       Finding available datasets online that could be used for training

Why Explore a Career at Kloud9:

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.

Who We are

At e6data (https://e6x.io/">https://e6data.io) we’re building core algorithms that makes querying 25 - 200X more performant (i.e. faster and/or cheaper) than every other analytics platform in the world. This results in billions of dollars of value unlocked across faster analytics, savings on compute / infra, and new use cases becoming possible.

Our core team has 100+ years of combined experience and 10+ patents across diverse but complementary disciplines like real time databases, time series databases, SQL OLAP engines, distributed computing platforms, stream processing, and log analytics. Two of the founding team are second time founders with past exits.

We are passionate about solving the deepest and most important problems in computer science, and believe in making our technology available to customers regardless of their location, size, or budget. Our vision is for e6data to power every analytical workload in the world - regardless of deployment scenario (cloud, on-premise, edge), across every use case (end user queries, ETL / data pipelines), and every latency requirement (batch, streaming / real time).

What you'll do?

• Write awesome code
• The focus will be on performance of our data platform
• Identify tactical and long-term product improvements (could be code, script, etc.)
• Responsible for Planning and executing Metadata and Governance tool supports
• Build our internal Data Platform using exdata
• Adding scalable functionality to the system for new features like UDF's, sql functions etc

What are we looking for?

• Worked with Python for a minimum of 2 years
• Well versed with Django REST framework
• Knowledge of document based data stores like MongoDB
• Strong team player
• A passion for continuous learning and growth (both at a personal and team level)
• Experience (or enjoys) working in a startup will be an added advantage

What you need to have: