Busniess Development Executive

Job description

Business Development Executive

*Only Male Candidates*

Roles and Responsibilities

*Represent the company to prospective clients, explaining the services Offered, Identity Potential clients establishing connections

through email, or sending promotional brochures periodically to prospects.

*Participate in seminars and exhibitions where entrepreneurs congregate and have knowledge of business operations prepare and deliver professional presentations to clients.

*Develop and maintain relationships with clients to ensure their satisfaction with

services rendered provide market feedback to the company.

*Leadership regarding competitive offerings and customer needs.

*Meet or exceed sales targets and goals requirements.

Desired Candidate Profile:

* Must have 3 years of Experience in business development or a similar role Experience in the management consulting industry or a related field strong presentation skills.

* Including proficiency in power point and other presentation tools and excellent

written and verbal communication skills in English.

* A customer-focused mindset with the ability to team Familiarity with business

operations and financial management proven track record of meeting or exceeding sales targets and goals.

* Mba – Marketing (Preferred)

Exp: 3-5yrs

ABOUT THE ROLE:

Job Description:

Overview:

We are in search of a seasoned Technical Lead with expertise in Micro services, Cloud Infrastructure,

API Integrations, Networking, Python, Database technologies, and strong proficiency in DevOps

practices. The ideal candidate will have a minimum of 5+ years of experience, showcasing a

comprehensive skill set and a track record of successful project delivery. This role requires

proficiency in cloud services, a deep understanding of DevOps principles, and experience with

database management. Additionally, cloud migration experience is considered a valuable asset.

Key Responsibilities:

• Technical Leadership:

• Lead and inspire a cross-functional team, providing technical guidance and

support.

• Ensure the successful implementation of technical solutions aligned with project goals and timelines.

• Microservices Architecture:

• Design and implement scalable and modular micro-services architecture.

• Enforce best practices in micro-services development, deployment, and

monitoring.

• Cloud Infrastructure and DevOps:

• Architect, deploy, and manage cloud infrastructure on platforms such as AWS, Azure, or Google Cloud.

• Demonstrate strong DevOps practices to streamline development, testing, and deployment processes.

• API Integrations:

• Develop and integrate APIs for seamless communication between system components.

• Prioritize security and reliability in API integrations.

• Networking:

• Design and implement network solutions for distributed systems.

• Troubleshoot and optimise network performance.

• Programming Skills:

• Proficiency in Python for backend development. Django or flask framework.

• Collaborate with the development team to ensure code quality and

adherence to best practices.

• Database Management:

• Design and optimise database schemas for performance and scalability.

• Experience with both SQL and NoSQL databases.

Mandatory Skills:

• Cloud services expertise any one (AWS, Azure, Google Cloud).

• Strong understanding and application of DevOps principles.

• Database management experience.

Preferred Skills:

• Cloud migration experience.

• Certification in relevant cloud platforms.

• Familiarity with containerisation, CI/CD and orchestration tools (Docker, Jenkins,

Kubernetes).

Qualifications:

• Bachelor's or higher degree in Computer Science, Engineering, or a related field.

• Minimum of 5+ years of experience in a technical leadership role.

• Proven expertise in micro-services architecture, cloud infrastructure, API

integrations, networking, Python, and database technologies.

ABOUT THE COMPANY:

FatakPay Digital Private Ltd (FatakPay) is a digital-only lending platform that provides virtual

credit facilities. The solution provides a 100% digital and paperless quick, transparent and secure

way to transact in multilingual format with a ‘scan now, pay later’ facility and easy repayment

options.

We're a company that strongly believes in teamwork, design, creativity and tech. We love to build

the best possible Financial Tech products that make the world a better place.

WHAT HAPPENS NEXT?

If selected for an interview, you will hear directly from someone from the HR department, usually

within a week of the closing date.

Technical Skills Required:

• Frontend: Proficiency in HTML, CSS, JavaScript, and frameworks like React.js or Vue js.
• Backend: Hands-on experience with Node.js, PHP, or along with frameworks like Express.
• Database: Experience with relational databases like MySQL, PostgreSQL,
• Version Control: Familiarity with Git and Git-based workflows.
• Understanding of RESTful APIs and integration with third-party services.
• Basic knowledge of DevOps practices, CI/CD pipelines, and cloud platforms is a plus.

Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.
• Proven experience working on full-stack development projects.
• Strong problem-solving and analytical skills.

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

Analyse and understand the JIRA business stories and design the technical solutions.  

• Design, Develop, and evaluate the AWS Cloud based technical solutions.  
• Lead, Track tasks, Oversee, and mentor less experienced team members.  
• Integrate with other SPE proprietary applications using RESTful webservices complying latest industry design and coding standards.  
• Strong Knowledge of technical principles, practices, and procedures to implement and keep SPEs standard complex system solutions.  
• Strong understanding and first-hand experience on agile software development approaches in a fast paced and continuously changing B2B marketing business environment.  
• Working on large scale systems development or integration projects, acting as the Project lead performing analysis and documenting technical requirements, data requirements, data architecture and relationships.  
• Provide subject matter expertise on overall IT solution, system and data flow architecture for Spring based micro services.  
• Provide primary technology support for in-house proprietary B2B projects with supported application platforms.  
• Review & approve Github Pull requests using the existing Application Development Frameworks and Coding Standards. 
• Provide production support in managing the application incidents and priority-based problem resolution. 

Skills: Java, spring, hibernate, AWS(mandatory), microservices architecture, redis(good to have)

Team Size: Current team size of tech team is 65+

Interview Process: 4 rounds( 1st round - Problem Solving/Data Structures, 2nd Round- Coding, 3rd Round- Technical Discussion and Final round with the HR).

Target Companies:- B2C fintech companies, app based product companies, edtech companies

Location: Bangalore(Currently WFH but later on will be following a hybrid model)

Roles & Responsibilities

Job Description: (Mandate Skills)

· Exceptional architecture and design skills using Object Oriented Programming concepts and Design patterns

· Strong problem solving and analytical skills

· Hands on Java Engineer, with experience building consumer facing or enterprise applications using Java stack

· Ability to manage small teams (4-6 members) using agile development process

Do You Know? (Skills good to have)

· Exposure to building service oriented distributed systems

· In building systems that process big data in a distributed environment, either in real time streaming or offline batching.

· In messaging systems like Kafka, RabbitMQ, kinesis, etc.

· In real time computation tools like Storm / Spark or Hadoop based tools.

· In Data warehousing technologies like Redshift, BigQuery, etc.

What Can We Offer You:

We offer a great working environment - Very collaborative. You will get plenty of learning opportunities and challenging problems to work on. You’ll go to sleep everyday knowing that you’ve made a difference in people’s lives. Your work will be reaching out to millions of users.