Center Manager

About Us:

We are a technology-driven financial services firm specializing in providing high-performance trading platforms and broking

solutions. Our products serve top brokers and trading institutions across the capital markets. With innovation at our core,

we build scalable and secure systems that keep the financial markets running smoothly. For more details, pls visit:

https://tradelab.in/

Role Summary:

We are seeking experienced Application Support Engineers to join our client-facing support team. The ideal candidate will

be the first point of contact for client issues, ensuring timely resolution, clear communication, and high customer satisfaction

in a fast-paced trading environment.

Key Responsibilities:

• Act as the primary contact for clients reporting issues related to trading applications and platforms.

• Log, track, and monitor issues using internal tools and ensure resolution within defined TAT (Turnaround Time).

• Liaise with development, QA, infrastructure, and other internal teams to drive issue resolution.

• Provide clear and timely updates to clients and stakeholders regarding issue status and resolution.

• Maintain comprehensive logs of incidents, escalations, and fixes for future reference and audits.

• Offer appropriate and effective resolutions for client queries on functionality, performance, and usage.

• Communicate proactively with clients about upcoming product features, enhancements, or changes.

• Build and maintain strong relationships with clients through regular, value-added interactions.

• Collaborate in conducting UAT, release validations, and production deployment verifications.

• Assist in root cause analysis and post-incident reviews to prevent recurrences.

Required Skills & Qualifications:

• Bachelor's degree in Computer Science, IT, or related field.

• 2+ years in Application/Technical Support, preferably in the broking/trading domain.

• Sound understanding of capital markets – Equity, F&O, Currency, Commodities.

• Strong technical troubleshooting skills – Linux/Unix, SQL, log analysis.

• Familiarity with trading systems, RMS, OMS, APIs (REST/FIX), and order lifecycle.

• Excellent communication and interpersonal skills for effective client interaction.

• Ability to work under pressure during trading hours and manage multiple priorities.

• Customer-centric mindset with a focus on relationship building and problem-solving.

Nice to Have:

• Exposure to broking platforms like NOW, NEST, ODIN, or custom-built trading tools.

• Experience interacting with exchanges (NSE, BSE, MCX) or clearing corporations.• Knowledge of scripting (Shell/Python) and basic networking is a plus.

• Familiarity with cloud environments (AWS/Azure) and monitoring tools.

Why Join Us?

• Be part of a team supporting mission-critical systems in real-time.

• Work in a high-energy, tech-driven environment.

• Opportunities to grow into domain/tech leadership roles.

• Competitive salary and benefits, health coverage, and employee wellness programs.

Data - AI / ML Engineer 

Full-Time   |   On-site, Kolkata   |   Immediate Joining   |   4+ years experience

ABOUT US 

Company Name: Freeflow ventures

We are a venture building and investment firm focused on emerging markets across India, the Middle East, and Africa. We work with early-stage startups -diagnosing gaps, structuring interventions, and preparing them for investor-readiness through a proprietary data and intelligence platform.

Our platform combines automated data verification, startup scoring, and structured workflow automation to bring consistency and credibility to early-stage investment decisions. We are at an active build and expansion phase, and this role sits at the core of that infrastructure.

ROLE OVERVIEW

We are looking for a Data - AI / ML Engineer who can own both the data pipelines that bring verified information into our platform and the intelligence models that turn that information into reliable startup scores.

This is a dual-responsibility role. You will be expected to build and maintain robust data infrastructure as well as develop, calibrate, and improve machine learning models. Both are equally important to the platform.

You will work closely with the Platform Owner and alongside a Backend Engineer who owns system integrations and workflow logic. Your work produces the scored intelligence output. The Backend Engineer's work connects that output to platform actions. The two roles are tightly interdependent and require close daily collaboration, especially in the first 30 days.

Note: You are the first technical hire on the platform team. The Backend Engineer joins the same week. Clear communication, well-defined handoff points, and shared documentation between the two of you are non-negotiable from Day 1.

WHAT YOU WILL DO

Data Pipeline

• Build and maintain pipelines that collect, clean, and normalize data from multiple external sources into a consistent, usable format
• Design connector architecture that allows individual data sources to be added, swapped, or removed without rebuilding the entire pipeline
• Implement automated data quality checks that catch bad data before it reaches the scoring layer -anomaly detection, constraint enforcement, and schema validation
• Build an automated eligibility screening system that verifies whether a startup has sufficient verified data before assessment begins
• Ensure the pipeline is resilient -critical data signals must have backup sources so a single vendor failure does not disrupt platform output
• Structure data storage to support different regulatory requirements across multiple countries -data from different regions must be handled according to the rules of that region

AI and Machine Learning

• Audit the existing scoring engine before making any changes -understand what it does, how it was built, and what would be lost if it were modified
• Calibrate scoring models against real portfolio data so that scores are meaningful, consistent, and comparable across different startup types and stages
• Build confidence scoring logic that determines when the system is certain enough to act autonomously and when it should route to human review
• Ensure every model output is explainable -investors must be able to see exactly which data points drove a score, not just the final number
• Build a feedback loop so that real-world outcomes feed back into the model over time, making it progressively more accurate
• Maintain a structured data store of assessment outputs and outcomes that the model uses to improve

Working With the Backend Engineer

• Define a clear data contract at the handoff point -what data you produce, in what format, and what the Backend Engineer can expect to receive
• Collaborate on trigger logic -what score thresholds or confidence drops should fire what system actions
• Align on data schema requirements so that the APIs the Backend Engineer builds conform to the structure your pipeline produces
• Communicate blockers early -the pipeline and backend system are built simultaneously, so delays on one side directly affect the other
• Document everything you build so the Backend Engineer and Platform Owner can understand, debug, and extend it without depending on you for every question

WHAT WE ARE LOOKING FOR

Skills are divided into two categories. Must Have means the role cannot function without it. Good to Have means it gives you an edge.

Skill

Priority

Data Engineering

Building and maintaining data pipelines from multiple sources

Must Have

Data normalization and schema design

Must Have

Automated data quality validation

Must Have

API integration across different source types

Must Have

Pipeline orchestration and scheduling

Must Have

Cloud infrastructure -storage, compute, and deployment

Must Have

Version control and code documentation

Must Have

AI and Machine Learning

Building and calibrating supervised machine learning models

Must Have

Model explainability -making model outputs traceable and interpretable

Must Have

Confidence scoring and threshold calibration

Must Have

Experiment tracking and model versioning

Must Have

Building feedback loops that improve models over time using real-world outcomes

Must Have

Natural language processing or document understanding

Good to Have

Vector databases and semantic search

Good to Have

Collaboration and Context

Ability to define clear data contracts and handoff points with backend engineers

Must Have

Clear written documentation of pipeline logic, model decisions, and failure modes

Must Have

Prior experience working in or with early-stage startups

Good to Have

Exposure to financial data, investment platforms, or data verification systems

Good to Have

WHAT WE OFFER

• Competitive compensation based on experience -discussed during the interview process
• Ownership of both the data and intelligence layers from Day 1 -this is not a support or maintenance role
• Direct access to the Platform Owner and Founder 
• Close collaboration with a Backend Engineer from Day 1 -the two roles are designed to work as a unit
• Work on a genuinely novel problem in an emerging market context
• On-site Kolkata with a small, high-accountability team
• Opportunity to scale the platform across multiple international markets

As a Senior Backend & Infrastructure Engineer, you will take ownership of backend systems and cloud infrastructure. You’ll work closely with our CTO and cross-functional teams (hardware, AI, frontend) to design scalable, fault- tolerant architectures and ensure reliable deployment pipelines.

1. What You’ll Do :

• Backend Development: Maintain and evolve our Node.js (TypeScript) and Python backend services with a focus on performance and scalability.
• Cloud Infrastructure: Manage our infrastructure on GCP and Firebase (Auth, Firestore, Storage, Functions, AppEngine, PubSub, Cloud Tasks). 
• Database Management: Handle Firestore and other NoSQL DBs. Lead database schema design and migration strategies.
• Pipelines & Automation: Build robust real-time and batch data pipelines. Automate CI/CD and testing for backend and frontend services.
• Monitoring & Uptime: Deploy tools for observability (logging, alerts, debugging). Ensure 99.9% uptime of critical services.
• Dev Environments: Set up and manage developer and staging environments across teams.
• Quality & Security: Drive code reviews, implement backend best practices, and enforce security standards.
• Collaboration: Partner with other engineers (AI, frontend, hardware) to integrate backend capabilities seamlessly into our global system.

Must-Haves :

• 5+ years of experience in backend development and cloud infrastructure.
• Strong expertise in Node.js (TypeScript) and/or Python.
• Advanced skills in NoSQL databases (Firestore, MongoDB, DynamoDB...).
• Deep understanding of cloud platforms, preferably GCP and Firebase.
• Hands-on experience with CI/CD, DevOps tools, and automation.
• Solid knowledge of distributed systems and performance tuning.
• Experience setting up and managing development & staging environments. 

• Proficiency in English and remote communication.

Good to have :

• Event-driven architecture experience (e.g., Pub/Sub, MQTT).
• Familiarity with observability tools (Prometheus, Grafana, Google Monitoring).
• Previous work on large-scale SaaS products.
• Knowledge of telecommunication protocols (MQTT, WebSockets, SNMP).
• Experience with edge computing on Nvidia Jetson devices.

What We Offer :

• Competitive salary for the Indian market (depending on experience).
• Remote-first culture with async-friendly communication.
• Autonomy and responsibility from day one.
• A modern stack and a fast-moving team working on cutting-edge AI and cloud infrastructure.
• A mission-driven company tackling real-world environmental challenges. 

A full stack developer job description for MERN stack developers centers on designing, developing, and maintaining robust web applications using MongoDB, Express.js, React, and Node.js as core technologies.

Responsibilities

• Develop and maintain scalable web applications using the MERN stack.
• Build interactive and responsive user interfaces with React.
• Implement server-side APIs and business logic using Node.js and Express.js.
• Design, model, and manage databases with MongoDB to ensure efficient data storage and retrieval.
• Integrate front-end with back-end systems and third-party services.
• Optimize applications for speed and scalability, troubleshoot and debug code, and ensure reliability.
• Collaborate with other developers, designers, and stakeholders in an agile environment to clarify requirements and deliver solutions.
• Implement security best practices and protect sensitive data.
• Participate in code reviews and mentor junior developers.

Requirements

• Proven experience with the MERN stack (MongoDB, Express.js, React, Node.js).
• Strong skills in JavaScript, HTML5, and CSS3.
• Familiarity with RESTful API design, version control systems (Git), and front-end frameworks like Bootstrap or Material-UI.
• Understanding of database design, schema management, and NoSQL principles.
• Problem-solving ability and communication skills.
• Bachelor's degree in computer science or related field (preferred).
• Experience working collaboratively in a team-oriented environment.

Key Skills

• JavaScript, React.js, Node.js, Express.js, MongoDB.
• HTML/CSS, RESTful APIs, Git.
• Familiarity with agile methodologies and UI/UX best practices.
• Testing, debugging, code optimization, and deployment.

Job Description:

1. Achieving enrolment targets (End to End sales)

2. Lead generation through cold calling.

3. Identifying suspects and prospects.

4. Meeting & Counselling prospective students (mostly working executives in various industries).

Location: Mumbai (Chembur, Goregaon)

Experience: 0-3 Years Inside Sales (Ed Tech is a plus)

One who have sold technical cources would be preferred

CS/IT Freshers with Excellent communication skills would be considered

Salary Range: 40-50k per month + Monthly Incentives

Job Description:

Looking for engineers with one of the below requirements:

• 2-5 years of embedded development experience in a Linux environment with C programming
• With Option1:
• EDK2 experience
• SCT experience
• knowledge of TPMs
• With Option2:
• worked on bootloaders or uboot